Household, Income and Labour Dynamics in Australia (HILDA) …library.bsl.org.au/jspui/bitstream/1/1834/1/www... · 2015-09-16 · Page 5 – HILDA Survey Annual Report 2013 Wave

Household, Income andLabour Dynamics inAustralia (HILDA) Survey

Annual Report 2013

HILDA Survey

Annual�Report�2013

Funded by the Australian Government Department of Social Services

HILDA Survey

Annual Report 2013

Melbourne Institute of Applied Economic and Social ResearchFaculty of Business and EconomicsLevel 5, FBE Building, 111 Barry StreetThe University of MelbourneVictoria 3010 AustraliaT: +61 3 8344 2100F: +61 3 8344 2111E: [email protected] W: www.melbourneinstitute.com/hilda

© 2014 The University of Melbourne, Melbourne Institute of Applied Economic and Social Research.COPYRIGHT: All rights reserved. Apart from fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright Act 1968, no part of this publication may be reproduced, stored or transmitted in any form or by any means without the prior permission in writing of the Publisher.

ISSN 1447-5812 (Online)

Photos: © Victoria Lane (pages 3, 6, 16, 18 and 21).

Typeset by UniPrint Pty Ltd.

Page 3 – HILDA Survey Annual Report 2013

Contents

Director’s Report 4

Personnel, 2013 6

Wave 12 9

Presentations and Publications about the HILDA Survey and Data 16

2013 HILDA Survey Research Conference 17

The HILDA Data User Community 19

Publications by HILDA Data Users, 2013 and Forthcoming 22

Accessing the Data 27

Key HILDA personnel at the HILDA Survey Research Conference, 3–4 October 2013Back row (from left): Rowena York, Tania Sperti, Mark Wooden, Simon Freidin (winner of the HILDA Survey Distinguished Service Award 2013)Front row (from left): Annette Neuendorf, Michelle Summerfield, Mary-Ann Patterson, Roger Wilkins


Director’s Report

Overview

Wave 12

Wave 13

During 2013 it was very much business as usual for the HILDA Survey, but punctuated by the holding of our sixth research conference, which was widely acclaimed as the best ever. Other highlights included:

• achievingre-interviewratesinexcessof96percentinthemainsampleand 92percentinthetop-upsample;

• deliveryoftheannualunitrecordreleasetoinexcessof500users(over200ofwhomwerefirst-timeusers);and

• publicationofoureighthannualstatisticalvolume.

Data collection for Wave 12 was completed in February 2013. As already mentioned, the re-interview rate in the main sample (members of households that participated in Wave1)was96.2percent,andinthetop-upsample(membersofnewhouseholdsaddedinWave11)itwas92.4percent.Togetherthisbringsthetotalrespondingsample size in Wave 12 to 17,472 persons.

A novel feature of Wave 12 was the inclusion for the first time of three simple measures of cognitive ability. The reaction of respondents to the inclusion of these measures was overwhelmingly favourable, and is reflected in task completion rates ofbetween93and95percent.

Wave 12 also saw the introduction for the first time of a prize draw for persons who return a completed self-completion questionnaire (SCQ). Respondents were eligible to win one of five iPads, and we believe this initiative may have been partly responsible for the higher SCQ completion rate in Wave 12 when compared with Wave 11. Unit-record data from Wave 12 are included in data release 12.0, which became available to users on 4 December 2013.

Meanwhile fieldwork for Wave 13 commenced in late July 2013, with all indications that we will again achieve response rates similar to recent survey waves.

The main feature of the Wave 13 questionnaire content is the re-inclusion of the health module,whichpreviouslyappearedinWave9.TheinterviewsurveyinstrumentsforWave13thuslookverysimilartotheWave9instruments.Nevertheless,newquestionswere included on sleep (both quantity and quality) and physical activity. In addition, for the first time we are seeking measurements of waist circumference, which will be assisted by providing to all respondents a retractable tape measure.

Professor Mark Wooden

“During 2013 it was … business as usual for the HILDA Survey, but punctuated by the holding of our sixth research conference … widely acclaimed as the best ever.”


Wave 14

2013 Research Conference

Data users

External Reference Group

While Wave 13 was in the field, we were also busily planning the design of Wave 14. This wave will see the re-inclusion of the household wealth module, previously included in Waves 2, 6 and 10. In addition, and in response to a proposal received from Peter Saunders (University of New South Wales), we will be testing a measure of material deprivation.

We are taking the opportunity to include ‘fixes’ designed to update variables measuring citizenship and permanent residency among immigrant sample members, and to better update labour market history variables for sample members who have missed a survey wave. We are also reconsidering the way we record information on house mortgages, and in particular the treatment of offset accounts.

An undoubted highlight of the year was the 2013 HILDA Survey Research Conference, our sixth such conference. The 185 registrants were treated to a diverse array of presentations that reflected the breadth of coverage of the HILDA Survey. Reflecting the growing international profile of the user base, presenters were drawn from not only Australia, but other countries (United States of America, United Kingdom, Germany, New Zealand and Sweden). Notable here was our keynote speaker, Richard Lucas (Michigan State University), who spoke about the contribution that the HILDA Survey data was making to research on the impact of changing life circumstances on subjective well-being.

Innovative features of this year’s conference were: (i) the holding of a poster session,whichattracted13offeringsandwasextremelywellattendedandreceived;and (ii) the presentation of prizes for both the Best Paper and the Best Poster.

And again, the conference was well supported by an outstanding organising team, led by Penny Hope, the Melbourne Institute’s events manager.

We can also report that interest in the use of the HILDA data remains high. Licensed users for Release 11 again numbered in excess of 500, with the number of first-time users being the highest since the study commenced. Demand from users for training also remains high, which we have accommodated through the holding of three user training courses during the year.

An important source of support for me and my team has been the advice we have received over the years from our External Reference Group. Membership of this group changes from year to year, but in 2012 and 2013 a number of long-serving members stood down.

David de Vaus, one of the original members of the group and a former Chair, resigned at the end of 2012, while Janeen Baxter, another original member and former Chair, attended her last meeting in 2013. Ruth Weston has also had an association with the group since its beginning, first as an ex-officio member and then as a full member, which ceased at the end of 2012. I would like to express my gratitude to all three for their advice and support over the years. It has been much appreciated.

Professor Mark Wooden Project Director


Personnel, 2013

Melbourne Institute survey management teamDirector Professor Mark Wooden

Deputy Director, Survey Management Ms Michelle Summerfield

Database Manager Mr Simon Freidin

Database Support Officers Mr Peter Ittak (resigned October) Ms Ninette Macalalad

Deputy Director, Research Assoc. Professor Roger Wilkins

Professorial Research Fellows Professor Richard Burkhauser Professor Nick Powdthavee

Senior Research Fellow Dr Hielke Buddelmeyer

Research Officer Mr Markus Hahn

Deputy Director, Survey Methodology Ms Nicole Watson

Survey Methodologist Dr Ning Li

Administrative Assistant Ms Victoria Lane

External Reference GroupProfessor Garry Barrett (Chair) University of New South Wales

Professor Janeen Baxter (Chair) (resigned October) University of Queensland

Assoc. Professor Bruce Bradbury University of New South Wales

Assoc. Professor Peter Butterworth Australian National University

Professor David de Vaus (resigned June) University of Queensland

Dr Ben Edwards Australian Institute of Family Studies

Dr Ann Evans Australian National University

Dr Belinda Hewitt University of Queensland

Assoc. Professor David Johnston Monash University

Professor Bryan Rodgers (resigned June) Australian National University

Dr Leah Ruppanner University of Melbourne

Professor Steven Stillman University of Otago

Ms Ruth Weston (resigned June) Australian Institute of Family Studies

Technical Reference GroupProfessor Robert Breunig Australian National University

Dr John Henstridge Data Analysis Australia

Mr Stephen Horn Department of Social Services

Mr Ross Watmuff Australian Bureau of Statistics

HILDA DSS teamDr Annette Neuendorf (Section Manager)

Ms Joanne Harrison

Ms Deborah Kikkawa

Ms Gae Major

Visitors to the HILDA Survey teamMs Yun Chen University of Michigan (June–July)

Mr Marcel Hebing DIW Berlin (October)

Dr Olena Kaminska University of Essex (September–November)

Professor Peter Lynn University of Essex (September–November)

Professor Steve Pudney University of Essex (November–December)

Dr Noah Uhrig University of Essex (January–February)

Participants in the External Reference Group Meeting, 2 October 2013Back row (from left): Belinda Hewitt, Peter Butterworth, Mark Wooden, Janeen Baxter, Steven StillmanFront row (from left): Garry Barrett (Chair), Michelle Summerfield, Ann Evans, Annette Neuendorf, Roger Wilkins, Ben EdwardsAbsent: Bruce Bradbury, Nicole Watson


HILDA project team Antonietta Bono (National Call Centre Manager)

Michael Bradford (Project Manager Systems)

Joshua Button (Systems Team Leader)

Shannon Carter (Sample Support Officer)

Gary Dunstan (Data Manager)

Joanna El-Masri (Materials Coordinator)

Stephen Gibson (Chief Operations Officer)

Jemimah Gray (Administration Officer)

Davina Heng (Sample Support Officer)

Roopa Kamath (Research Analyst)

David Kenshole (Team 1800 Coordinator)

Troy Kohut (General Manager – Customised Research)

Deborah Louwen (Project Support)

Vivek Malpani (Confirmit Programmer)

Sigmund Marques (Sample Support Officer)

Lachlan Morton (Project Support)

Mary-Ann Patterson (Project Manager Field and Respondent)

Shane Pickard (Sample Support Officer)

Tania Sperti (Project Director)

Pat Timmins (Workforce Director)

Rick Van Der Meer (Project Support)

Rowena York (Sample Team Leader)

HILDA Team 1800Julian Adams

Tarun Bajaj

Rinata Buccheri

Jaz Burstall

Neil Cabatingan

Bee Callaghan

Fiona Crockett (Supervisor)

Alex Findlay

Alison Flehr (Supervisor)

Adam Flett

Adrian Follacchio

Amarlie Foster

Jemimah Gray

Sam Gray

Ariel Gross

Christine Harding

Levi Heeringa

William Hollingsworth (Supervisor)

Caitlin Houghton

Elizabeth Ibrahim

Ximena Ilich

Jane Kingsford

Louise La Sala (Supervisor)

Sara McGuigan

Tim Macpherson (Supervisor)

Lukas Meintjes

Sean Mijares

Miles Miller (Supervisor)

James Moriarty

Simon Nathan

Jodi Norton (Supervisor)

Paul Pugliese

Adam Quigley

Vaughan Quinn

Kieran Ryan (Supervisor)

Lia Sharard

Quinho Soler

Isaac Still

Daniel Stojkovich (Supervisor)

Sean Walton

Oliver Wedd

Jackson Wilde

HILDA face-to-face field interviewing team Jan Alcock

Cathy Andrew

Zoe Arslan

Farah Aslankoohi

Sheryle Baldock

Francene Beattie

Merril Bennett

Pam Bowtell

Chris Brennan

Robyn Burgess

Linda Buttel

Frances Carr-Boyd

Jay Clark

Susan Collins

Andrew Craker

Sean Cranny

Beryl Cuff

Laurie-Anne Curry

Jennifer De Lacey

Lea Densem

Delwyn Dix

Paul Dodds

Bev Edwards

Sandra Essex

Jennifer Eurell

Stuart Eyers

Catherine Fernbach

Henry Ferst

Anthony Foley

Peter George

Shaaron Glynn

Kerry Green

Sandy Grieve

Elizabeth Griffiths

Garry Grooms

Dzemal Hadzismajlovic

Penelope Hamilton-Smith

Marie Hammond

Philip Hands

Michael Hendry

Donna Hickey

Linda Hill

Louise Hill

Loretta Ho

Josie Holland

Ian Hosking

Mick Hosking

Roy Morgan Research

Page 8 – HILDA Survey Annual Report 2013Page 8 – HILDA Survey Annual Report 2013

Jan Houghton

Ben Huisman

Frances Husher

Patricia Huynh

Dylan Hyde

Jill Irvine

Kim Jackson

Paula Jackson

Julie-Anne Jacobs

Andrew James

Mirjana Jesensek

Christine Jolly

Trudy Jones

Richard Joyce

Penny Jurd

Deborah Kairn

Margaretha Kassanis

Pat Kempster

John Kenney

Ray Kerkhove

Brian King

Jenny Komyshan

Greg Lay

Christine Leece

Murray Legro

Karen Leslie

Dorothy Lucks

Laureen Lutz

Cindy Macdonald

John Macdonald-Hill

Lyn McKeaveney

Lisa Mackinnon

Catherine McMahon

Rita Maio

Priscilla Martinus

Dayne Matthews

Nabil Mohammad

Peter Mulholland

Fiona Mullen

Virginia Murphy

Don Murray

Rob Neal

Ann Newbery

Marija Nikolic-Paterson

Narelle Nocevski

Vicky Nowak

Marta Ogilvie

Sally O’Neal

Jasmin Osborne

Bradford Paez

Marilyn Paul

Faye Payne

Shelley Pearce

Gabriella Pendergast

Cheryl Perrett

Tara Perrett

Zoe Perrett

David Plant

Sandra Potter

Beverley Price

Anna Prichard

Yvette Pryor

Ananda Ranasinghe

David Reed

Margaret Reid

Marg Reynolds

Lynndal Richards

Aaron Rinder

Gillian Rivers

Nea Roberts

Sandra Robertson

Oriana Roinich

Pat Roy

Lorna Russell

Roxanne Russell

Maree Saleh

Rodney Scherer

Susan Schiller

Stephen Schubert

Robyn Schulz

George Shaw

Barry Simpfendorfer

Beryl Sinapius

Barbara Slattery

Marilyn Smiley

Muriel Smith

Karen Steele

Phillip Stock

Tathra Street

Margaret Stubbs

Helen Szuty

Bridgitte Tadrosse

Rici Tandy

Lynda Taylor

Sandra Teagle

Beth Tilley

Fay Tomholt

Suzie Torok

Ingrid Tozer

Robin Trotter

Irina Vasilenko

Julia Ward

Elizabeth Waymark

Elizabeth Weaver

Jayne Wiche

Marlene Wills

Jilanne Wilson

Rochelle Woodley-Baker

Bev Worrall

Pamela Wright

Jayne Wymer

Jeffrey Yap

Additional supportMurray Bishop

Rachel Brown

Ken Ferns

Mike Fitzgerald

Mark Hall

Oscar Kong

Lindsay Lucas

Gordon MacMillian

Asif Malik

Melea Moonbeam

Peter Newby

Deb Perriman

Nick Petroulias

Grant Rhys-Jones

Paul Roach

Suvinder Sawhney

Marcus Tarrant


Wave 12

Fieldwork The Wave 12 interviews commenced towards the end of July 2012 and had concluded by mid-February 2013. Table 1 compares the distribution of the interviews over the fieldwork period for each wave. By the end of September, 80.8 per cent of the interviews had been completed for the main sample and 78 per cent for the top-up sample. By the end of December, this figure had risen to97.1percentforthemainsampleand96percentforthetop-upsample.

A total of 176 interviewers were employed on Wave 12. The size of the interviewer workforce was increased slightly this year to improve the distribution of the workload across interviewers (see Table 2). The number of Team 1800 telephone interviewers remained unchanged, though turnover within this group is still high (but considerably lower than in recent years).

Table 3 describes the progression of the responding individual sample over the first 12 waves. Of those initially interviewed in Wave 1, 8,543 were re-interviewed in Wave 12 (which is 67.5 per cent of those who are still in-scope). The number interviewedinall12wavesis6,991.

The wave-on-wave response rates for all sample groups are provided in Table 4. The second set of response rates reported in this table is for those individuals belonging to or joining households that responded in the previous wave and thus arguably provides the most realistic comparison of response rates over time.

Theresponserateforpreviouswaverespondentsinthemainsamplewas96.2percent, similar to the rates recorded in the three previous survey waves. However,

Table 1: Percentage of individual interviews conducted each month, Waves 1 to 12 Main sample

July2012

Aug2012

Sep2012

Oct2012

Nov2012

Dec2012

Jan2013

Feb2013

Mar2013

Total

Wave 1 – 1.1 40.2 36.9 14.0 7.4 0.4 – – 100

Wave 2 – 5.7 55.8 24.8 10.6 0.9 – 2.1 0.2 100

Wave 3 – 7.7 57.9 22.9 8.3 1.2 0.2 1.6 – 100

Wave 4 – 12.4 60.1 18.0 6.1 1.1 0.2 2.1 – 100

Wave 5 – 3.2 53.3 30.5 7.4 1.6 1.5 2.4 – 100

Wave 6 – 4.1 57.3 28.0 7.0 1.4 1.1 1.1 – 100

Wave 7 – 4.4 55.7 29.3 7.2 0.8 1.3 1.3 – 100

Wave 8 – 7.7 57.6 23.1 7.7 1.0 1.4 1.6 – 100

Wave 9 – 4.9 54.1 29.1 6.1 1.7 2.1 2.0 – 100

Wave 10 – 12.7 50.8 24.6 6.7 1.5 2.3 1.4 – 100

Wave 11 0.3 36.9 40.2 12.3 5.9 1.0 1.9 1.5 0.0 100

Wave 12 0.2 42.5 38.1 10.1 5.0 1.2 2.1 0.9 − 100

Top-up sample

Wave 11 4.8 47.9 16.8 6.4 13.7 2.0 5.1 3.4 − 100

Wave 12 0.0 36.8 41.2 10.6 6.2 1.2 2.5 1.5 − 100Note: Totals may not add up to 100 due to rounding.

Wave 12 response: main sample


SCQ response

Attrition bias

responseratesforpreviouswavechildrenandnewsampleentrantsfellto65.9percent and 78.8 per cent respectively.

Of the 13,537 Wave 12 respondents in the main sample, 12,001 returned a self-completion questionnaire (SCQ), resulting in an SCQ response rate of 88.7 per cent (Table 5). Within the top-up sample (introduced in Wave 11), 85.8 per cent of the 3,939respondentsinWave12returnedacompletedSCQ.

Factors contributing to this slight increase in the response rate include both the introduction of an iPad prize draw for respondents who return a completed SCQ and the additional time spent in training to highlight strategies that interviewers can use to encourage respondents to complete their SCQ.

Attritionisonlyalargeproblemwhenitisnon-random;thatis,thosewhochooseto respond are systematically different from those who drop out.

Table 6 reports the percentage of Wave 1 respondents who have been re-interviewed, both in all waves and in Wave 12, by various respondent characteristics measured in Wave 1. People who have died or moved overseas are excluded from these figures.

As we have noted in previous Annual Reports, the likelihood of having responded in every wave is relatively low for people who in Wave 1 were:

• relativelyyoung(agedbetween15and24years);

• borninanon-English-speakingcountry;

Table 2: Number of interviewers and percentage of new interviewers, Waves 1 to 12

Face-to-face interviewers

Telephone interviewers

All interviewers

Number

Percentage new

Number

Percentage new

Number

Percentage new

Wave 1 133 100.0 0 − 133 100.0

Wave 2 133 33.8 9 100.0 142 38.0

Wave 3 118 18.6 10 60.0 128 21.9

Wave 4 117 12.8 9 44.4 126 15.1

Wave 5 122 14.8 10 80.0 132 19.7

Wave 6 127 28.3 13 53.8 140 30.7

Wave 7 126 0.6 15 53.3 141 24.1

Wave 8 123 11.4 15 46.7 138 15.2

Wave 9 135 34.1 24 95.8 159 43.4

Wave 10 132 11.4 23 69.6 155 20.0

Wave 11 135 15.6 32 56.3 167 23.4

Wave 12 144 21.5 32 50.0 176 26.7


Re-interview rates within the top-up sample

Table 3: Individual interviews completed, Waves 1 to 12 Wave firstinterviewed

Wave 1

Wave 2

Wave 3

Wave 4

Wave 5

Wave 6

Wave 7

Wave 8

Wave 9

Wave 10

Wave 11

Wave 12

Wave 1 13,969 11,993 11,190 10,565 10,392 10,085 9,628 9,354 9,245 9,002 8,780 8,543

Wave 2 − 1,048 705 594 572 542 512 483 488 475 461 442

Wave 3 − − 833 543 482 429 403 376 383 365 354 346

Wave 4 − − − 706 494 426 408 369 374 362 348 336

Wave 5 − − − − 819 578 511 462 459 441 407 410

Wave 6 − − − − − 845 641 545 525 499 468 426

Wave 7 − − − − − − 686 509 448 427 409 379

Wave 8 − − − − − − − 687 526 491 445 412

Wave 9 − − − − − − − − 853 640 583 542

Wave 10 − − − − − − − − − 824 599 523

Wave 11 − − − − − − − − − − 4,758 4,180

Wave 12 − − − − − − − − − − − 937

Total 13,969 13,041 12,728 12,408 12,759 12,905 12,789 12,785 13,301 13,526 17,612 17,476

• ofAboriginalorTorresStraitIslanderdescent;

• single;

• unemployed;or

• workinginlow-skilledoccupations.

Despite this, there is still a reasonably high level of engagement among most of these groups. Take Indigenous people for example. While less than half of the Indigenous respondents have been re-interviewed every wave, 67 per cent were interviewed in Wave 12, almost exactly the same as the proportion of non-Indigenous persons re-interviewed in Wave 12.

Fortunately, the extensive array of characteristics collected over time means that many of the characteristics of attritors can be identified and controlled for in analyses of the data. Users can either directly model the attrition process or use the weights included in the dataset.

In Wave 11 a new refreshment, or top-up, sample was introduced. These persons were thus re-interviewed for the first time in Wave 12.

Table 7 provides a summary of the re-interview rate within our top-up sample, cross-classified by selected characteristics of these sample members. Further, we make comparisons with responses at a comparable stage (Wave 2) within the main sample.

The most striking feature of Table 7 is just how superior the re-interview rates within the top-up sample are to those recorded for the main sample back in Wave2.Theoverallre-interviewratewithinthetop-upsample,of92.3percent,


is more than 5 percentage points greater than the rate achieved in Wave 2 of the main sample.

Further, we seem to have done much better with the top-up sample in minimising differential response on certain characteristics. Most obvious here is the rate of response among migrants from a non-English-speaking background. In Wave 2 of the main sample just under 80 per cent of sample members from this group were re-interviewed. In contrast, in the top-up sample the re-interview rate was both muchhigher(90.3percent)andnotmuchlowerthantherateobtainedforimmigrants from one of the main English-speaking countries.

Table 4: Individual response rates, Waves 2 to 12Main sample Top-

upWave

12Wave

2Wave

3Wave

4Wave

5Wave

6Wave

7Wave

8Wave

9Wave

10Wave

11Wave

12

All people

Previous wave respondent 86.8 90.4 91.6 94.4 94.9 94.7 95.2 96.3 96.3 96.5 96.2 92.3

Previous wave non-respondent 19.7 17.6 12.7 14.7 8.4 5.6 5.7 8.5 4.5 3.8 3.5 16.4

Previous wave child 80.4 71.3 70.7 74.6 75.4 70.8 73.7 73.4 72.0 70.0 65.9 87.8

New entrant this wave 73.3 76.1 70.4 81.7 81.1 79.7 79.5 81.3 82.9 80.7 78.8 80.5

People attached to a responding household in previous wave

Previous wave respondent 86.8 90.4 91.6 94.4 94.9 94.7 95.2 96.3 96.3 96.5 96.2 92.3

Previous wave non-respondent 19.7 19.8 18.1 25.3 18.3 13.2 15.0 25.9 16.2 15.4 11.2 16.4

Previous wave child 80.4 81.8 81.2 87.3 89.5 90.5 90.9 93.0 92.3 93.0 86.4 87.8

New entrant this wave 73.3 78.5 71.8 85.4 81.0 80.2 81.2 81.4 83.5 82.0 79.3 80.5

Table 5: SCQ response rates, Waves 1 to 12

Main sampleTop-upsample

Wave 1

Wave 2

Wave 3

Wave 4

Wave 5

Wave 6

Wave 7

Wave 8

Wave 9

Wave 10

Wave 11

Wave 12

Wave 11

Wave 12

Face-to-face interviews 93.7 93.9 93.5 93.3 91.8 92.7 91.5 90.7 89.3 91.6 90.5 91.3 85.7 87.5

Phone interviews 52.7 63.3 68.1 68.2 62.3 64.1 62.2 59.7 63.0 62.4 59.6 61.2 56.2 49.4

Overall 93.5 93.0 92.3 91.9 89.9 90.8 89.0 87.6 86.9 89.0 87.8 88.7 85.2 85.8

Percentage of phone interviews 0.5 3.0 4.6 5.6 6.5 6.9 8.4 10.1 9.1 8.4 8.6 8.9 1.8 4.5


Table 6: Percentage of Wave 1 respondents re-interviewed by selected sample characteristics Wave 1 characteristics

In all waves

In Wave 12

Wave 1 characteristics

In all waves

In Wave 12

Area Indigenous status

Sydney 53.4 66.1 Indigenous 43.6 67.0

Rest of New South Wales 58.4 68.7 Non-Indigenous 57.0 67.5

Melbourne 55.0 66.6 Education attainment

Rest of Victoria 54.4 64.7 Year 11 or below 51.6 62.8

Brisbane 61.1 69.8 Year 12 54.6 66.5

Rest of Queensland 58.8 68.1 Certificate 56.3 67.4

Adelaide 60.6 70.1 Diploma 64.1 72.8

Rest of South Australia 55.5 69.2 Degree or higher 67.8 77.0

Perth 56.8 65.0 Dwelling type

Rest of Western Australia 51.6 65.2 House 57.1 68.0

Tasmania 56.8 68.0 Semi-detached 57.9 68.0

Northern Territory 73.4 87.9 Flat, unit, apartment 52.2 62.7

Australian Capital Territory 60.6 73.1 Other 51.8 61.4

Sex Labour force status

Male 55.0 66.0 Employed full-time 57.6 68.5

Female 58.2 68.7 Employed part-time 59.6 70.6

Age group (years) Unemployed 45.6 57.2

15–19 40.8 58.7 Not in the labour force 55.2 65.5

20–24 44.7 60.4 Employment status in main joba

25–34 54.1 67.1 Employee 41.8 69.2

35–44 59.4 69.3 Employer 43.9 66.6

45–54 62.0 70.8 Own account worker 40.0 70.3

55–64 66.8 75.6 Contributing family worker 44.4 69.7

65–74 65.2 71.5 Occupationa

75+ 34.9 41.0 Managers/administrators 61.5 72.8

Marital status Professionals 67.5 76.6

Married 60.1 69.2 Associate professionals 58.0 68.7

De facto 54.4 67.0 Tradespersons 52.0 64.3

Separated 58.5 70.2 Advanced clerical/service 56.2 65.3

Divorced 65.1 75.0 Intermediate clerical/sales/service 58.3 69.7

Widowed 57.6 62.7 Intermediate production/transport 52.9 62.4

Single 47.1 62.3 Elementary clerical/sales/service 55.0 68.1

Country of birth Labourers 50.1 62.5

Australia 58.4 69.0

Overseas Total 56.7 67.5

Main English-speaking 59.3 67.9

Other 45.5 58.9 Number responding 6,991 8,543Note: (a) Employed sub-sample only.


Table 7: Wave 12 top-up re-interview rates compared to the Wave 2 main sample, by selected characteristics Initial characteristics

In Wave 2

In Wave 12

Initial characteristics

In Wave 2

In Wave 12

Area Indigenous status

Sydney 82.4 90.7 Indigenous 80.2 92.8

Rest of New South Wales 88.2 93.0 Non-Indigenous 86.9 92.3

Melbourne 85.4 92.3 Education attainment

Rest of Victoria 88.1 94.6 Year 11 or below 84.9 90.8

Brisbane 87.5 91.4 Year 12 84.3 91.6

Rest of Queensland 89.2 91.7 Certificate 87.5 92.5

Adelaide 89.3 93.8 Diploma 89.5 94.0

Rest of South Australia 88.7 93.0 Degree or higher 91.7 93.8

Perth 88.6 90.3 Dwelling type

Rest of Western Australia 86.2 94.6 House 87.2 92.3

Tasmania 85.8 97.7 Semi-detached 87.2 89.5

Northern Territory 95.5 96.2 Flat, unit, apartment 82.5 94.9

Australian Capital Territory 90.9 96.6 Other 88.9 100.0

Sex Labour force status

Male 86.3 91.7 Employed full-time 86.7 92.2

Female 87.2 93.0 Employed part-time 87.4 92.1

Age group (years) Unemployed 81.1 95.2

15–19 79.6 90.5 Not in the labour force 87.3 92.4

20–24 76.7 91.8 Employment status in main joba

25–34 85.9 93.6 Employee 86.6 92.2

35–44 88.7 94.5 Employer 90.0 85.7

45–54 88.7 89.4 Own account worker 88.9 93.6

55–64 89.5 92.8 Contributing family worker 86.1 90.0

65–74 91.9 92.8 Occupationa

75+ 87.2 91.7 Managers 87.1 94.2

Marital status Professionals 91.0 94.8

Married 88.6 92.8 Technicians and trades workers 84.7 89.9

De facto 83.4 92.8 Community and personal service workers

Clerical and administrative workers

Sales workers

Machinery operators and drivers

Labourers

86.7

88.0

85.4

82.5

84.3

91.3

90.0

89.8

95.3

91.0

Separated 88.3 95.2

Divorced 89.2 89.8

Widowed 92.0 95.6

Single 82.1 90.8

Country of birth

Australia 88.1 93.1

Overseas Total 86.8 92.3

Main English-speaking 87.1 91.5

Other 79.9 90.3 Number responding 11,993 3,652Note: (a) Employed sub-sample only.


We also did much better in re-interviewing Indigenous persons. Whereas in the second wave of the main sample the re-interview rate among Indigenous persons was 6 percentage points lower than among non-Indigenous persons, in the second wave of the top-up sample the rate was actually slightly higher among Indigenous persons.

Other groups where the re-interview rate was relatively low in the main sample but not in the top-up sample include the following: the young (persons aged between 15 and 24), persons living in de facto relationships, and the unemployed.

On the other hand, re-interview rates among employers (as distinct from other formsofself-employment;i.e.,ownaccountworkers)wererelativelylowinthetop-up sample. Only 85.7 per cent of persons identified as employers in the first wave of the top-up sample were re-interviewed in the next wave. This compares witharateof90percentinWave2ofthemainsample.


Presentations and Publications about the HILDA Survey and Data

PublicationsWatson, N. and Wooden, M., ‘Adding a Top-Up Sample to the HILDA Survey’, Australian Economic Review,vol.46,no.4,pp.489–498.

Wilkins, R., Families, Incomes and Jobs, Volume 8: A Statistical Report on Waves 1 to 10 of the Household, Income and Labour Dynamics in Australia Survey, Melbourne Institute of Applied Economic and Social Research, University of Melbourne, July.

HILDA Discussion Paper Series Pudney, S. and Watson, N., ‘If at First You Don’t Succeed? Fieldwork Effort, Panel Attrition and Health-Employment Inferences in BHPS and HILDA’, no. 2/13, December.

Wooden, M., ‘The Measurement of Cognitive Ability in Wave 12 of the HILDA Survey?’, no. 1/13, December.

HILDA User ManualSummerfield, M., Freidin, S., Hahn, M., Ittak, P., Li, N., Macalalad, N., Watson, N., Wilkins, R. and Wooden, M., HILDA User Manual – Release 12, Melbourne Institute of Applied Economic and Social Research. [Available on-line at http://melbourne institute.com/hilda/doc/doc_hildamanual.html]

Presentations/conference papersWatson, N., ‘Evaluation of Weighting Methods to Integrate a New Top-Up Sample with an Ongoing Longitudinal Sample’. Presentation to the 2013 European Survey Research Association Conference, Ljubljana,15–19July.

Wooden, M., ‘Chasing Hard to Get Cases in Panel Surveys: Is It Worth It?’. Presentation to the Understanding Society Research Conference, University of Essex, 24–26 July.

Wooden, M., ‘The HILDA Survey: Ongoing and Future Developments’. Presentation to the 2013 HILDA Survey Research Conference, University of Melbourne, 3–4 October.


2013 HILDA Survey Research Conference

The 2013 HILDA Survey Research Conference was held on 3 and 4 October 2013 at the University of Melbourne and attracted 185 registrants.

The audience was treated to a diverse array of presentations that reflected the breadth of coverage of the HILDA Survey data. Reflecting the growing international profile of the user base, presenters were drawn from not only Australia, but also the United States of America, United Kingdom, Germany, New Zealand and Sweden. Notable here was the keynote speaker, Richard Lucas (Michigan State University), who spoke about the contribution HILDA Survey data has made to research into the impact of changing life circumstances on subjective well-being.

Innovative features of the 2013 conference included (i) the holding of a poster session,whichattracted13offeringsandwasextremelywellattendedandreceived;and (ii) the presentation of prizes for both the Best Paper and the Best Poster.

In total, there were 38 presentations. The titles and authors of these papers are listed below. Copies of many of these papers can be downloaded from the HILDA Survey website at http://www.melbourneinstitute.com/hilda/Biennial_research_conf/conf2013papers.html

Invited speakers

Richard Lucas (Keynote Address), Using Dyadic Data to Understand Subjective Well-Being.

Mark Wooden (Closing Session), Ongoing and Future Developments for the HILDA Survey.

Refereed papers

Michelle Brady (Francisco Perales), Hours of Paid Work among Single and Partnered Mothers in Australia: How Childcare Package Matters.

Lixin Cai, The Dynamics of Low Pay Employment in Australia.

Terence Cheng, Measuring the Effects of Removing Subsidies for Private Insurance on Public Expenditure for Health Care.

Xiaodong Gong (Robert Breunig), Channels of Labour Supply Responses of Lone Parents to Changed Work Incentives.

Cahit Guven (Asadul Islam), Age at Migration, Language Proficiency and Socio-Economic Outcomes: Evidence from Australia.

Syed Hasan (Robert Breunig, Mosfequs Salehin), The Immigrant Wage Gap and Assimilation in Australia: Does Unobserved Heterogeneity Matter?

Belinda Hewitt (Anne-Rigt Poortman), Household Income after Separation: Does Initiator Status Make a Difference?

David Johnston (Nicole Au), Too Much of a Good Thing? Exploring the Impact of Wealth on Weight.

Lars Kunze (Nicolai Suppa), Job Characteristics and Labour Supply.

Jinjing Li (Alan Duncan, Riyana Miranti), Underemployment among Mature Age Workers in Australia.

Ha Nguyen (Luke B. Connelly), Informal Care Intensity and Labour Market Outcomes: Evidence from Instrumental Variable Panel Data Models.

Debayan Pakrashi (Paul Frijters), Happiness Assimilation amongst Migrants: Evidence from Australia.

Satya Paul, Reversing the Causality – Does Happiness Reduce Income Inequality?

Francisco Perales (Wojtek Tomaszewski), Who Settles for Less? Subjective Dispositions, Objective Circumstances, and Housing Satisfaction.

Alexandra Spicer (Olena Stavrunova, Susan Thorp), How Portfolios Evolve after Retirement: Evidence from Australia.

Stephen Whelan (Chris Ryan), Age Pension Eligibility and Female Labour Force Participation.

Callan Windsor (Jarkko Jääskelä, Richard Finlay), Home Prices and Household Spending.

Non-refereed papers

Tom Bilston (Robert Johnson), Stress Testing Australian Households Using the HILDA Survey.

Hielke Buddelmeyer (Duncan McVicar, Mark Wooden), Non-Standard ‘Contingent’ Employment and Job Satisfaction: A Panel Data Analysis.

Andy Charlwood (David Angave, Mark Wooden), Working Time and Cigarette Smoking: Evidence from Australia and Great Britain.

William Clark, Socio-Spatial Mobility and Neighborhood Outcomes in Australia: How “Fluid” Is Australian Society.

Jane Fry (Clare Boulton), Transition Pathways in HILDA – An Analysis Using Optimal Matching and Cluster Analysis.

Edith Gray (Dharma Arunachalam), Patterns of Contraceptive Use.

Megan Gu, Retirement and Asset Allocation in Australian Households.

Michele Haynes (Lachlan Heybroek, Belinda Hewitt, Janeen Baxter),


Parenthood and Employment Outcomes: The Effect of a Birth Transition on Men’s and Women’s Employment Hours.

Olena Kaminska, Tailoring Mode of Data Collection in Longitudinal Studies.

Amina Keygan, Does Question Order Affect Reports of Childbearing Desires, Expectations and Intentions in the Household and Labour Dynamics in Australia Survey?

Inga Kristoffersen, The Age- Happiness Puzzle: The Role of Economic Circumstances and Financial Satisfaction.

Gianni La Cava (Callan Windsor, James Hansen), ‘Tell ‘Em They’re Dreamin’: Self-Assessed Home Values and Household Belief Formation.

Samba Siva Rao Pasupuleti (Santrosh Jatrana, Ken Richardson), Investigating the ‘Healthy Immigrant Effect’ in Australia Using Fixed Effects Models: Findings from a Nationally-Representative Longitudinal Survey.

Michael Rendall (Allesandra DeRose, Frauke Kreute, Trude Lappegard, Lori Reeder, Marit Ronsen, Laurent Toulemon), Employment Impacts on Entry to Parenthood in Different Family-Policy Regimes.

Peter Siminski (Jason Lindo, Oleg Yerokhin), Alcohol Policy, Drinking,

and Health Outcomes in New South Wales.

Melanie Spallek (Michele Haynes, Andrew Jones), Holistic Housing Pathways for Australian Families through the Childbearing Years.

Steven Stillman (Malatha Velamuri, Yun Liang), Measuring Individual and Household Saving in Australia.

Tsui-o Tai (Janeen Baxter, Francisco Perales), Gender, Justice and Work: A Distributive Approach to Perceptions of Housework Fairness.

Diana Warren, Pathways to Retirement: Evidence from the HILDA Survey.

Poster presenters

Nicole Au, Self-Assessed General Health: What Does It Mean and What Is It Hiding?

Elisa Birch, The Determinants of Obesity in Australia.

Brendan Churchill, Gender Roles over the Life Course Using the Household, Income and Labour Dynamics of Australia Survey.

Belinda Hewitt, Relationship Dissolution and Self-Rated Health: A Longitudinal Analysis of Transitions

from Cohabitation and Marriage in Australia and Switzerland.

Suresh Joshi, Immigrants and Smoking Behaviour: Does the Duration of Stay in Australia Matter?

Sonja Kassenboehmer, The Link between Locus of Control, Wealth Accumulation, and Asset Portfolios.

Inga Kristoffersen, The Education-Happiness Puzzle.

Tanja Kutscher, Appropriateness of the Eleven-Point Likert Scale for Assessing Job Satisfaction.

Andrea La Nauze, Refuting Gay Stereotypes: Personality Traits Cannot Explain Sexuality Based Wage Gaps in Australia.

Jinjing Li, The Impact of Gender Representations in Media on Female Employment: Evidence from HILDA and ABC News.

Evarn Ooi, Wage Discrimination in the Australian Labour Market: Evidence from the HILDA Panel Survey.

Samba Siva Rao Pasupuleti, Disability among Immigrants to Australia.

Tania Sperti, Interviewer and Respondent Effects in Longitudinal Survey Response: The Experience of the HILDA Survey.

Professor Mark Wooden presenting the closing session of the 2013 HILDA Survey Research Conference


As shown in Table 8, the total number of persons who have been approved access to at least one of the 11 public data releases has been steadily growing. There were just over 200 users of the first version released in late 2002. By the end of November2013,thistotalhadgrownto1,930.Inaddition,therewere90usersofthe HILDA-Cross-National Equivalent File (HILDA-CNEF). Further details about the compositionoftheHILDAdatausercommunityareprovidedinTable9.

Data users: How many and who are they?

The HILDA Data User Community

Table 8: HILDA data user community, Releases 1 to 11 Release

Total data orders

Orders by new users

Cumulative number of users

Release 1 204 204 204

Release 2 265 169 373

Release 3 279 157 530

Release 4 329 176 706

Release 5 387 196 902

Release 6 401 176 1,078

Release 7 455 200 1,278

Release 8 431 125 1,403

Release 9 497 141 1,544

Release 10 536 182 1,726

Release 11 520 204 1,930

Table 9: HILDA data users by type, Releases 1 to 11Type of user Rel. 1 Rel. 2 Rel. 3 Rel. 4 Rel. 5 Rel. 6 Rel. 7 Rel. 8 Rel. 9 Rel. 10 Rel. 11

Academic: Australia 84 112 126 142 169 178 206 199 241 259 258

Academic: Overseas 5 15 18 19 24 25 37 24 51 66 47

Student: Honours year 3 13 16 15 13 7 13 17 13 22 36

Student: Postgraduate 9 16 18 31 42 41 40 44 59 65 68

Government: Commonwealth 87 87 82 103 120 134 137 121 111 115 102

Government: State/Local 8 14 8 11 8 5 10 5 8 8 8

Other 8 8 11 8 11 11 12 21 14 1 1

Total 204 265 279 329 387 401 455 431 497 536 520


At the end of November 2013, there was a cumulative total of 101 organisations with an Organisational Deed of Licence covering 378 individuals. These organisations are listed below.

Organisational Licences

•ANZ Banking Group Limited•Australian Bureau of Agricultural and Resource

Economics and Sciences•Australian Bureau of Statistics•Australian Consortium for Social and Political

Research Incorporated •Australian Council for Educational Research •Australian Council of Trade Unions •Australian Government Department of Human

Services•Australian Institute of Family Studies •Australian Institute of Health and Welfare •Australian Securities and Investments

Commission•Australian Taxation Office •Australian Treasury •Bureau of Crime Statistics and Research (NSW)•Cape York Institute for Policy and Leadership•Catholic Archdiocese of Sydney •Collegio Carlo Alberto•Commonwealth Scientific and Industrial

Research Organisation, Human Nutrition Division

•CQ University, Institute for Health and Social Science Research

•Curtin University of Technology, Centre for Research in Applied Economics

•Deakin University •Deloitte Access Economics Pty Ltd•Department of Community Services (NSW)•Department of Education and Communities

(NSW)•Department of Employment•Department of Finance and Deregulation•Department of Human Services, Government

of Victoria•Department of Immigration and Border

Protection•Department of Industry•Department of Social Services•Department of the Premier and Cabinet,

Government of Western Australia•Department of the Prime Minister and Cabinet•Economic and Social Research Institute•Fair Work Commission •Flinders University•Gender and Work Database•Grattan Institute•Griffith University • Industry Super Network• Ingham Institute for Applied Medical Research• Institute for Health Policy, Sri Lanka• IZA Institute for the Study of Labor

• James Cook University•London School of Economics, Research

Laboratory•Lund University•Macquarie University •Master Builders Association•Monash University •Motu Economic and Public Policy Research•Murdoch Children’s Research Institute •Murdoch University •National Centre for Vocational Education

Research• New Zealand Social Statistics Network •Newcastle University, Institute of Health and

Society, Business School •Open University•Organisation for Economic Co-operation

and Development •Parenting Research Centre•Parliamentary Budget Office•Per Capita Australia Limited•Productivity Commission•Queensland University of Technology •Reserve Bank of Australia•Rice Warner Actuaries Pty Ltd •RMIT University

� AHURI Research Centre

� School of Economics, Finance and Marketing

•Roy Morgan Research•Swinburne University of Technology •Telethon Institute for Child Health Research •The Smith Family•The World Bank Group•Towers Watson Australia Pty Ltd•UltraFeedback Pty Ltd•UNICEF, Office of Research•Uniting Care Community, Queensland•University College Dublin•University of Adelaide •University of Bielefeld, Faculty of Sociology•University of Canberra

� CeRAPH

� NATSEM

•University of Essex, Institute for Social and Economic Research

•University of Georgia, Department of Sociology •University of Melbourne

� Centre for Human Resource Management

� Department of Economics

� School of Languages and Linguistics

� School of Population Health


•University of New South Wales

•University of Otago, Division of Commerce

•University of Queensland

•University of Sheffield

•University of South Australia

•University of St Gallen

•University of Sydney

� Faculty of Agriculture, Food and Natural Resources

� Faculty of Health Sciences

� School of Economics

� School of Public Health

•University of Technology, Sydney

•University of Washington, Foster School of Business

•University of Western Sydney

•University of Wollongong

•University of York

•University of Zurich, Institute of Political Science

•Victoria University of Wellington

HILDA user training 2013

April 2013 and September–October 2013

• GettingStarted:AnalysingHILDAwithSTATA Wednesday 3 April to Friday 5 April and Monday 30 September to Wednesday 2 October Designed for people who are new to using HILDA Survey data

December 2013

• PanelDataAnalysisTechniqueswithHILDAExamples Monday9DecembertoWednesday11December Lecture series plus hands-on training with STATA examples

The Panel Data Analysis Techniques with HILDA Examples course, December 2013


Publications by HILDA Data Users, 2013 and Forthcoming

Journal articles

Austen, S. and Ong, R., ‘The Effects of Ill Health and Informal Care Roles on the Unemployment Retention of Mid-Life Women: Does the Workplace Matter?’, Journal of Industrial Relations, vol. 55, no. 5, pp. 663–680.

Baker, E., Bentley, R. and Mason, K., ‘The Mental Health Effects of Housing Tenure: Causal or Compositional?’, Journal of Urban Studies, vol. 50, no. 2, pp. 426–442.

Barrett, G.F. and Kecmanovic, M., ‘Changes in Subjective Well-Being with Retirement: Assessing Savings Adequacy’, Applied Economics, vol.45,no.35,pp.4,883–4,893.

Baxter, J., ‘Families Working Together: Getting the Balance Right’, Family Matters, no.92,pp.77–83.

Baxter, J. and Hewitt, B., ‘Economic Independence or Bargaining Power? The Relationship between Women’s Earnings and Housework Time in Australia’, Feminist Economics, vol.109,no.1,pp.29–53.

Biddle, N., ‘Comparing Self Perceived and Observed Labour Market Discrimination in Australia’, Economic Papers,vol.32,no.2,pp.383–394.

Boreham, P., Povey, J. and Tomaszewski, W., ‘An Alternative Measure of Social Well-Being: Analysing the Key Conceptual and Statistical Components of Quality of Life’, Australian Journal of Social Issues, vol. 48, no. 2, pp. 151–172.

Boyce, C.J., Wood, A.M. and Powdthavee, N., ‘Is Personality Fixed? Personality Changes as Much as “Variable” Economic Factors and More Strongly Predicts Changes to Life Satisfaction’, Social Indicators Research, vol. 111, no. 1, pp. 287–305.

Breunig, R.V., Hasan, S. and Salehin, M., ‘The Immigrant Wage Gap and Assimilation in Australia: Does Unobserved Heterogeneity Matter?’, Economic Record,vol.89,no.287, pp.490–507.

Brown, H. and Adams, J., ‘The Role of Time Preference in Smoking Cessation: A Longitudinal Analysis of

Data from the Household Income and Labour Dynamics of Australia Survey, 2001–08’, Addiction, vol. 108, no. 1, pp.186–192.

Chapman, B. and Lounkaew, K., ‘How Many Jobs Is 23,510, Really?’, Australian Journal of Labour Economics,vol.16,no.2,pp.259–275.

Chzhen, Y., Mumford, K. and Nicodemo, C., ‘The Gender Pay Gap in the Australian Private Sector: Is Selection Relevant across the Earnings Distribution?’, Economic Record, vol.89,no.286,pp.367–381.

Clark, W.A.V., ‘Life Course Events and Residential Change: Unpacking Age Effects on the Probability of Moving’, Journal of Population Research, vol.30,no.4,pp.319–334.

Cobb-Clark, D. and Schurer, S., ‘Two Economists’ Musings on the Stability of Locus of Control’, Economic Journal, vol. 123, no. 570, pp. F358–F400.

Cooke, L., Erola, J., Evertsson, M., Gähler, M., Härkönen, J., Hewitt, B., Jalovaara, M., Kan, M.Y., Lyngstad, T.H., Mencarini, L., Mignot, J.F., Mortelmans, D., Poortman, A.R., Schmitt, C. and Trappe, H., ‘Labor and Love: Wives’ Employment and Divorce Risk in Its Socio-Political Context’, Social Politics, vol.20,no.4,pp.482–509.

Cortis, N., Bullen, J. and Hamilton, M., ‘Sustaining Transitions from Welfare to Work: The Perceptions of Employers and Employment Service Providers’, Australian Journal of Social Issues, vol. 48, no. 3, pp. 363–384.

Fok, Y., Jeon, S. and Wilkins, R., ‘Does Part-Time Employment Help or Hinder Australian Lone Mothers’ Movements into Full-Time Employment?’, Oxford Economic Papers, vol. 65, no. 2, pp. 523–547.

French, D.J., Jang, S.N., Tait, R.J. and Anstey, K.J., ‘Cross-National Gender Differences in the Socioeconomic Factors Associated with Smoking in Australia, the United States of America and South Korea’, International Journal of Public Health, vol. 58, no. 3, pp. 345–353.

Gerstorf, D., Windsor, T.D., Hoppmann, C.A. and Butterworth, P.,

‘Longitudinal Change in Spousal Similarities in Mental Health: Between-Couple and Within-Couple Perspectives’, Psychology and Aging, vol. 28, no. 2, pp. 540–554.

Gray, E., Evans, A. and Reimondos, A., ‘Childbearing Desires of Childless Men and Women: When Are Goals Adjusted?’, Advances in Life Course Research,vol.18,no.2,pp.141–149.

Green, C.P. and Leeves, G.D., ‘Job Security, Financial Security and Worker Well-Being: New Evidence on the Effects of Flexible Employment’, Scottish Journal of Political Economy, vol. 60, no. 2, pp. 121–138.

Guest, R. and Parr, N., ‘Family Policy and Couples’ Labour Supply: An Empirical Assessment’, Journal of Population Economics, vol. 26, no. 4, pp. 1,631–1,660.

Gunasekara, F.I., Carter, K. and McKenzie, S., ‘Income-Related Health Inequalities in Working Age Men and Women in Australia and New Zealand’, Australian and New Zealand Journal of Public Health, vol. 37, no. 3, pp. 211–217.

Hahn, M. and Wilkins, R., ‘Perceived Job Discrimination in Australia: Its Correlates and Consequences’, Australian Journal of Labour Economics, vol. 16, no. 1, pp. 43–64.

Headey, B., Muffels, R. and Wagner, G.G., ‘Choices which Change Life Satisfaction: Similar Results for Australia, Britain and Germany’, Social Indicators Research, vol. 112, no. 8, pp. 725–748.

Hermes, K. and Poulsen, M., ‘The Intraurban Geography of Generalised Trust in Sydney’, Environment and Planning A,vol.45,no.2,pp.276–294.

Hewitt, B., Haynes, M. and Baxter, J., ‘Relationship Dissolution and Time on Domestic Labor’, Journal of Comparative Family Studies, vol. 43, no. 3, pp. 327–340.

Higgins, T. and Sinning, M., ‘Modelling Income Dynamics for Public Policy Design: An Application to Income Contingent Student Loans’, Economics of Education Review, vol. 37, no. 1, pp. 276–285.


Hulley, H., McKibbin, R., Pedersen, A. and Thorp, S., ‘Means-Tested Income Support, Portfolio Choice and Decumulation in Retirement’, Economic Record,vol.89,no.284,pp.31–51.

Johnston, D.W. and Lee, W.S., ‘Extra Status and Extra Stress: Are Promotions Good for Us?’, Industrial and Labor Relations Review, vol. 66, no. 1, pp. 32–54.

Jokela, M., Batty, G.D., Nyberg, S.T., Virtanen, M., Nabi, H., Singh-Manoux, A. and Kivimäki, M., ‘Personality and All-Cause Mortality: Individual-ParticipantMeta-Analysisof3,947Deaths in 76,150 Adults’, American Journal of Epidemiology, vol. 178, no. 5, pp. 667–675.

Jokela, M., Hintsanen, M., Hakulinen, C., Batty, G.D., Nabi, H., Singh-Manoux, A. and Kivimäki, M., ‘Association of Personality with the Development and Persistence of Obesity: A Meta-Analysis Based on Individual-Participant Data’, Obesity Reviews, vol. 14, no. 4, pp. 315–323.

Kiely, K.M. and Butterworth, P., ‘The Contribution of Financial Hardship, Socioeconomic Position, and Physical Health to Mental Health Problems among Welfare Recipients’, Australian and New Zealand Journal of Public Health,vol.37,no.6,pp.589–590.

Kiely, K.M. and Butterworth, P., ‘Social Disadvantage and Individual Vulnerability: A Longitudinal Investigation of Welfare Receipt and Mental Health in Australia’, Australian and New Zealand Journal of Psychiatry, vol. 47, no. 7, pp. 654–666.

Kifle, T., ‘Relative Income and Job Satisfaction: Evidence from Australia’, Applied Research in Quality of Life, vol. 8, no. 2, pp. 125–143.

Kippen, R., Chapman, B., Yu, P. and Lounkaew, K., ‘What’s Love Got to Do with It? Homogamy and Dyadic Approaches to Understanding Marital Instability’, Journal of Population Research, vol. 30, no. 3, pp. 213–247.

Kortt, M.A., Dollery, B. and Grant, B., ‘The Relationship between Religious Affiliation and Returns to Human Capital for Women’, Economic Papers, vol.32,no.3,pp.395–404.

Kurdna, G. and Woodland, A., ‘Macroeconomic and Welfare Effects of the 2010 Changes to Mandatory Superannuation’, Economic Record, vol.89,no.287,pp.445–468.

LaMontagne, A.D., Krnjacki, L., Kavanagh, A.M. and Bentley, R., ‘Psychosocial Working Conditions in a Representative Sample of Working Australians 2001–2008: An Analysis of Changes in Inequalities over Time’, Occupational and Environmental Medicine, vol. 70, no.9,pp.639–647.

Loh, V. and Kendig, H., ‘Productive Engagement across the Life Course: Paid Work and Beyond’, Australian Journal of Social Issues, vol. 48, no. 1, pp. 111–137.

Luhmann, M., Lucas, R.E., Eid, M. and Diener, E., ‘The Prospective Effect of Life Satisfaction on Life Events’, Social Psychological and Personality Science, vol.4,no.1,pp.39–45.

Magee, C.A., Heaven, P.C.L. and Miller, L.M., ‘Personality Change Predicts Self-Reported Mental and Physical Health’, Journal of Personality, vol. 81, no. 3, pp. 324–335.

Magee, C.A., Miller, L.M. and Heaven, P.C.L., ‘Personality Trait Change and Life Satisfaction in Adults: The Roles of Age and Hedonic Balance’, Personality and Individual Differences,vol.55,no.6,pp.694–698.

Martel, C., Carson, D. and Taylor, A., ‘Changing Patterns of Migration to Australia’s Northern Territory: Evidence of New Forms of Escalator Migration to Frontier Regions?’, Migration Letters, vol. 10, no. 1, pp. 101–114.

Mason, K.E., Baker, E., Blakely, T. and Bentley, R.J., ‘Housing Affordability and Mental Health: Does the Relationship Differ for Renters and Home Purchasers?’, Social Science and Medicine,vol.94,pp.91–97.

Mavromaras, K., McGuinness, S., O’Leary, N., Sloane, P. and Wei, Z., ‘Job Mismatches and Labour Market Outcomes: Panel Evidence on University Graduates’, Economic Record,vol.89,no.286,pp.382–395.

Melser, D., ‘How Well Do Australian Home-Owners Know the Value of Their Home?’, Australian Economic Review, vol. 46, no. 1, pp. 31–44.

Morack, J., Infurna, F.J., Ram, N. and Gerstort, D., ‘Trajectories and Personality Correlates of Change in Perceptions of Physical and Mental Health across Adulthood and Old Age’, International Journal of Behavioral Development, vol. 37, no. 6, pp. 475–484.

Norman, R., Church, J., van den Berg, B. and Goodall, S., ‘Australian Health-Related Quality of Life Population Norms Derived from the SF-6D’, Australian and New Zealand Journal of Public Health, vol. 37, no. 1, pp. 17–23.

Oleson, S.C., Butterworth, P., Leach, L.S., Kelaher, M. and Pirkis, J., ‘Mental Health Affects Future Employment as Job Loss Affects Mental Health: Findings from a Longitudinal Population Study’, BMC Psychiatry, vol. 13, article no. UNSP 144.

Ong, R., Parkinson, S., Searle, B.S., Smith, S.J. and Wood, G., ‘Channels from Housing Wealth to Consumption’, Housing Studies, vol. 28, no. 7, pp. 1,012–1,036.

Paul, S. and Guilbert, D., ‘Income-Happiness Paradox in Australia: Testing the Theories of Adaptation and Social Comparison’, Economic Modelling,vol.30,no.1,pp.900–910.

Redmond, G., Patulny, R. and Whiteford, P., ‘The Global Financial Crisis and Child Poverty: The Case of Australia 2006–10’, Social Policy and Administration, vol. 47, no. 6, pp.709–728.

Richardson, S., ‘A Reflection on the Household, Income and Labour Dynamics in Australia Survey’, Australian Economic Review, vol. 46, no. 2, pp. 216–222.

Roy, J. and Schurer, S., ‘Getting Stuck in the Blues: Persistence of Mental Health Problems in Australia’, Health Economics,vol.22,no.9-SI, pp.1,139–1,157.

Schonlau, M., Kroh, M. and Watson, N., ‘The Implementation of Cross-


Sectional Weights in Household Panel Surveys’, Statistics Surveys, vol. 7, pp. 1–57

Scutella, R., Wilkins, R. and Kostenko, W., ‘Intensity and Persistence of Individuals’ Social Exclusion in Australia’, Australian Journal of Social Issues,vol.48,no.3,pp.273–298.

Siahpush, M., Shaikh, R.A., Tibbits, M., Huang, T.K. and Singh, G.K., ‘The Association of Lone Motherhood with Smoking Cessation and Relapse: Prospective Results from an Australian National Study’, International Journal of Environmental Research and Public Health,vol.10,no.7,pp.2,906–2,919.

Siminski, P., ‘Are Low Skill Public Sector Workers Really Overpaid?’, Applied Economics, vol. 45, no. 14, pp.1,915–1,929.

Smith, N. and Weatherburn, D., ‘Personal Stress, Financial Stress, Social Support and Women’s Experiences of Physical Violence: A Longitudinal Analysis’, Crime and Justice Bulletin, no. 168, pp. 1–20.

Soto, C.J. and Luhmann, M., ‘Who Can Buy Happiness?: Personality Traits Moderate the Effects of Stable Income Differences and Income Fluctuations on Life Satisfaction’, Social Psychological and Personality Science, vol. 4, no. 1, pp. 46–53.

Stanford, S. and Taylor, S., ‘Welfare Dependence or Enforced Deprivation? A Critical Examination of White Neoliberal Welfare and Risk’, Australian Social Work,vol.66,no.4,pp.476–494.

Tannous, K. and Smith, M., ‘Access to Full-Time Employment: Does Gender Matter?’, Australian Journal of Labour Economics, vol. 16, no. 2, pp. 237–257.

Tomaszewski, T., ‘Living Environment, Social Participation and Well-Being in Older Age: The Relevance of Housing and Local Area Disadvantage’, Journal of Population Ageing, vol. 56, no. 1/2, pp.119–156.

Watson, I., ‘Bridges or Traps? Casualisation and Labour Market Transitions in Australia’, Journal of Industrial Relations, vol. 55, no. 1, pp. 6–37.

Watson, N. and Wooden, M., ‘Adding a Top-Up Sample to the HILDA Survey’, Australian Economic Review, vol.46,no.4,pp.489–498.

Wilkins, R. and Wooden, M., ‘Gender Differences in Involuntary Job Loss: Why Are Men More Likely to Lose Their Jobs?’, Industrial Relations: A Journal of Economy and Society, vol. 52, no. 2, pp. 582–608.

Wood, G. A. and Ong, R., ‘When and Why Do Landlords Retain Property Investments?’, Urban Studies, vol. 50, no. 16, pp. 3,243–3,261.

Wood, G.A., Parkinson, S., Searle, B. and Smith, S.J., ‘Motivations for Equity Borrowing: A Welfare-Switching Effect’, Urban Studies, vol. 50, no. 12, pp. 2,588–2,607.

Forthcoming journal articles

Ambrey, C.L. and Fleming, C.M., ‘Public Greenspace and Life Satisfaction in Urban Australia’, Urban Studies.

Ambrey, C.L., Fleming, C.M. and Manning, M., ‘Perception or Reality, What Matters Most When It Comes to Crime in Your Neighbourhood?’, Social Indicators Research.

Austen, S., Jefferson, T. and Ong, R., ‘The Gender Gap in Financial Security: What We Know and Don’t Know about Australian Households’, Feminist Economics.

Azpitarte, F., ‘Was Pro-Poor Economic Growth in Australia for the Income-Poor? And for the Multidimensionally-Poor?’, Social Indicators Research.

Baker, E., Mason, K., Bentley, R. and Mallett, S., ‘Exploring the Bi-directional Relationship between Health and Housing in Australia’, Urban Policy and Research.

Biddle, N., ‘Measuring and Analysing the Well-Being of Australia’s Indigenous Population’, Social Indicators Research.

Brady, M. and Perales, F., ‘Labour Force Participation among Single and Partnered Mothers in Australia: How Childcare Package Matters’, Journal of Family Issues.

Breunig, R.V., Gong, X. and Trott, D., ‘The New National Quality Framework: Quantifying Some of the Effects on Labour Supply, Child Care Demand and Household Finances for Two-Parent Households’, Economic Record.

Brown, H. and van der Pol, M., ‘The Role of Time Preferences in the Intergenerational Transfer of Smoking’, Journal of Health Economics.

Burnett, J., Davis, K., Murawski, C., Wilkins, R. and Wilkinson, N., ‘Measuring Retirement Savings Adequacy in Australia’, JASSA: Finsia Journal of Applied Finance.

Cai, L., Mavromaras, K. and Oguzoglu, U., ‘The Effects of Health Status and Health Shocks on Hours Worked’, Health Economics.

Chesters, J. and Watson, L., ‘Returns to Education for those Returning to Education: Evidence from Australia’, Studies in Higher Education.

Clark, W.A.V. and Maas, R., ‘Interpreting Migration through the Prism of Reasons for Moves’, Population, Space and Place.

Cobb-Clark, D. and Stillman, S., ‘Emigration and the Age Profile of Retirement among Immigrants’, IZA Journal of Migration.

Cummins, R., Li, N., Stokes, M. and Wooden, M., ‘A Demonstration of Set-Points for Subjective Well-Being’, Journal of Happiness Studies.

Hérault, N. and Kalb, G., ‘Intergenerational Correlation of Labour Market Outcomes’, Review of Economics of the Household.

Horsfall, B. and Dempsey, D., ‘Grandparents Doing Gender: Experiences of Grandmothers and Grandfathers Caring for Grandchildren in Australia’, Journal of Sociology.

Kiely, K.M. and Butterworth, P., ‘Mental Health Selection and Income Support Dynamics: Multiple Spell Discrete-Time Survival Analyses of Welfare Receipt’, Journal of Epidemiology and Community Health.

Kifle, T., ‘Do Comparison Wages Play a Major Role in Determining Overall Job


Satisfaction? Evidence from Australia’, Journal of Happiness Studies.

Kortt, M.A., Dollery, B. and Grant, B., ‘Religion and Life Satisfacton Down Under’, Journal of Happiness Studies.

Milner, A., Kavanagh, A., Krnjacki, L., Bentley, R. and LaMontagne, A.D., ‘Area-Level Unemployment and Perceived Job Insecurity: Evidence from a Longitudinal Survey Conducted in the Australian Working-Age Population’, Annals of Occupational Hygiene.

Milner, A., Spittal, M.J., Page, A. and LaMontagne, A.D., ‘The Effect of Leaving Employment on Mental Health: Testing “Adaptation” versus “Sensitisation” in a Cohort of Working-Age Australians’, Occupational and Environmental Medicine.

Polidano, C. and Vu, H., ‘Differential Labour Market Impacts from Disability Onset’, Health Economics.

Sander, N. and Bell, M., ‘Migration and Retirement in the Life Course: An Event History Approach’, Journal of Population Research.

Siahpush, M., Shaikh, R.A., Tibbits, M., Huang, T.K. and Singh, G.K., ‘Prolonged Financial Stress Predicts Subsequent Obesity: Results from a Prospective Study of an Australian National Sample’, Obesity: A Research Journal.

Soto, C.J., ‘Is Happiness Good for Your Personality? Concurrent and Prospective Relations of the Big Five with Subjective Well-Being’, Journal of Personality.

Thomson, E., Lappegård, T., Carlson, M., Evans, A. and Gray, E., ‘Childbearing across Partnerships in Australia, the United States, Norway and Sweden’, Demography.

Tomaszewski, W. and Perales, F., ‘Who Settles for Less? Subjective Dispositions, Objective Circumstances, and Housing Satisfaction’, Social Indicators Research.

van Ingen, E. and Bekkers, R., ‘Generalized Trust through Civic Engagement? Evidence from Five National Panel Studies’, Political Psychology.

Watson, N. and Wilkins, R., ‘Design Matters: The Impact of CAPI on Interview Length’, Field Methods.

Watson, N. and Wooden, M., ‘Re-engaging with Survey Non-Respondents: Evidence from Three Household Panels’, Journal of the Royal Statistical Society: Series A.

Wilkins, R., ‘Evaluating the Evidence on Income Inequality in Australia in the 2000s’, Economic Record.

West, T. and Worthington, A.C., ‘Macroeconomic Conditions and Australian Financial Risk Attitudes, 2001–2010’, Journal of Family and Economic Issues.

Wooden, M. and Li, N., ‘Panel Conditioning and Subjective Well-Being’, Social Indicators Research.

Other publications

Australian Institute of Health and Welfare, The Desire to Age in Place among Older Australians, Bulletin no. 114,Cat.no.AUS169,Canberra,May.

Azpitarte, F., ‘The Missing Dimension: Chronic Disadvantage in Australia’, Brotherhood Comment, April, pp. 4–5.

Azpitarte, F., Social Exclusion Monitor Bulletin, Brotherhood of St Laurence and Melbourne Institute of Applied Economic and Social Research, October.

Baker, D., Tough on Crime: The Rhetoric and Reality of Property Crime and Feeling Safe in Australia, Policy Brief no. 56, The Australia Institute, August.

Baker, D., Trouble with Childcare: Affordability, Availability and Quality, PolicyBriefno.49,TheAustraliaInstitute, March.

Baker, E., Lester, L., Beer, A., Mason, K. and Bentley, R., Acknowledging the Health Effects of Poor Quality Housing: Australia’s Hidden Fraction, Centre for Housing, Urban and Regional Planning, University of Adelaide and the Centre for Women’s Health, Gender and Society, University of Melbourne.

Baxter, J., Australian Mothers’ Participation in Employment: Analyses of Social, Demographic and Family

Characteristics Using the Household, Income and Labour Dynamics in Australia (HILDA) Survey, Research Paper no. 52, Australian Institute of Family Studies, September.

Bilston, T. and Rodgers, D., ‘A Model for Stress Testing Household Lending in Australia’, Reserve Bank of Australia Bulletin, December, pp. 27–38.

Bray, J.R., Reflections of the Evolution of the Minimum Wage in Australia: Options for the Future, HC Coombs Policy Forum, Crawford School of Public Policy, Australian National University, May.

Bray, J.R., Young Carers in Receipt of Carer Payment and Carer Allowance 2001 to 2006: Characteristics, Experiences and Post-Care Outcomes, Occasional Paper no. 47, Department of Families, Housing, Community Services and Indigenous Affairs, Canberra, July.

Breunig, R.V., Gong, X. and Leslie, G., The Dynamics of Satisfaction with Working Hours in Australia: The Usefulness of Panel Data in Evaluating the Case for Policy Intervention, Australian National University, December.

Buddelmeyer, H., Leung, F., McVicar, D. and Wooden, M., Training and Its Impact on the Casual Employment Experience, Research Report, National Centre for Vocational Education Research, June.

Campbell, I., Parkinson, S. and Wood, G., The Housing Security Consequences of Underemployment, Positioning Paper no. 152, Australian Housing and Urban Research Institute, April.

Cruwys, T., Berry, H., Cassells, R., Duncan, A., O’Brien, L., Sage, B. and D’Souza, G., Marginalised Australians: Characters and Predictors of Exit over Ten Years 2001–10, Research Report, University of Canberra, October.

Daly, A. and Gebremedhin, T., Can an “Indigenous Employment Program” Work? A Case Study of National Australia Bank, Research Report, Faculty of Business, Government and Law, University of Canberra, September.

Dockery, A.M., Ong, R., Colquhous, S., Li, J. and Kendall, G., Housing and


Children’s Development and Wellbeing: Evidence from Australian Data, Final Report no. 201, Australian Housing and Urban Research Institute, March.

Emerson, E., Honey, A. and Llewellyn, G., Left Behind: 2013, Monitoring the Social Inclusion of Young Australians with Disabilities, 2001–2011, Technical Report, Faculty of Health Sciences, University of Sydney, March.

Gordon, C. and Tranton, R., Incorporating Measures of Subjective Well-Being into the Measurement of Transport Equity, National Centre for Social and Economic Modelling, University of Canberra, October.

Guest, R., Comparison of the New Zealand and Australian Retirement Income Systems, Background Paper prepared for the 2013 Review of Retirement Income Policy by the Commission for Financial Literacy and Retirement Income, Griffith University, February.

Homel, J. and Ryan, C., Welfare Agencies and the Provision of Emergency Relief in Australia, Occasional Paper no. 43, Department of Families, Housing, Community Services and Indigenous Affairs, Canberra, April.

Jatrana, S., Investigating the Dynamics of Migration and Health in Australia: A Longitudinal Study, Project funded by the Australian Research Council, Deakin Research Institute, September.

Katic, P. and Leigh, A., Top Wealth Shares in Australia 1915–2012, Joint paper by the International Water Management Institute West Africa Office and Parliament of Australia, Canberra, March.

Markey, R., Parr, N., Kyng, T., Muhidin, S., O’Neill, S., Thornthwaite, L., Wright, C.F., Lavermicocca, C. and Ferris, S., The Case for a National Portable Long Service Scheme in Australia, Report for Centre for Workforce Futures, McKell Institute, June.

Miller, S.M., Risk Sharing, Vulnerability and the Global Financial Crisis, Working Paper, Department of Economics, Monash University, July.

Mujcic, R. and Frijters, P., Conspicuous Consumption, Conspicuous Health, and Optimal Taxation, Discussion Paper, School of Economics, University of Queensland, August.

Ong, R., Haffner, M., Wood, G., Jefferson, T. and Austen, S., Assets, Debt and the Drawdown of Housing Equity by an Ageing Population, Positioning Paper no. 153, Australian Housing and Urban Research Institute, May.

Ong, R., Jefferson, T., Wood, G., Haffner, M. and Austen, S., Housing Equity Withdrawal: Uses, Risks, and Barriers to Alternative Mechanisms in Later Life, Final Report no. 217, Australian Housing and Urban Research Institute, October.

Pakrashi, D. and Frijters, P., Happiness Assimilation amongst Migrants: Evidence from Australia, Job Market Paper, University of Queensland, November.

Parkinson, S., Cidgem, M., Ong, R. and Taylor, E., Wellbeing Outcomes of Lower Income Renters: A Multi-Level Analysis of Area Effects, Positioning Paper no. 154, Australian Housing and Urban Research Institute, June.

Productivity Commission, Looking Back on Structural Change in Australia: 2002–2012, Supplement to Annual Report 2011–12, Canberra, September.

Smith, N. and Weatherburn, D., Personal Stress, Financial Stress, Social Support and Women’s Experiences of Physical Violence: A Longitudinal Analysis, Crime and Justice Bulletin no. 168, New South Wales Bureau of Crime Statistics and Research, March.

Stone, W., Reynolds, M. and Hulse, K., Housing and Social Inclusion: A Household and Local Area Analysis, Final Report no. 207, Australian Housing and Urban Research Institute, May.

Thompson, D., Fisher, K., Purcal, C., Deeming, C. and Sawrikar, P., Community Attitudes to People with Disability: Scoping Project, Occasional Paperno.39,DepartmentofFamilies,Housing, Community Services and Indigenous Affairs, Canberra, July.

Verikios, G., Dixon, P.B., Rimmer, M.T. and Harris, A.H., The Impact of Changes in Health Status: An Economywide Analysis for Australia, General Paper no. G-231, Centre of Policy Studies and The Impact Project, Monash University, February.

Weston, R., Qu, L. and Baxter, J., Australian Families with Children and Adolescents, Australian Family Trends no. 5, Australian Institute of Family Studies, July.

Wood, G., Smith, S.J., Ong, R. and Cigdem, M., The Edges of Home Ownership, Final Report no. 216, Australian Housing and Urban Research Institute, October.


Accessing the Data

Each year, data files are made publicly available. Release 12 became available in early December 2013. The Release 12 DVD includes unit record data for Wave 12 together with revised data files for the previous waves. All data are provided in SAS, SPSS and Stata format. In addition, the DVD includes codebooks and other relevant documentation.

A number of small adjustments have been made to the financial year income and tax models across all waves. These are described in detail in a Technical Paper, but the following is a summary:

• RegularpaymentsofSuperannuation,Worker’sCompensation,Paymentsfromnon-resident parents, and Transfers from non-household members have been moved to new variables and are added to income. Person-level imputation is supplied for regular payments of Superannuation (and Worker’s Compensation) for the purpose of estimating Superannuation taxation.

• Lumpsumsuperannuationandpaymentsfromco-residentparentsareexcluded from the income models.

• Themodeloutputs(grossincome/taxes/disposableincome)areprovidedfor‘regular income’ (the model in all earlier HILDA releases) and, in addition, a second set of gross income/taxes/disposable income outputs for ‘total income’ (which includes irregular income). An estimate of taxes on redundancy and severance payments is included in the taxes on total income. An estimate of tax on regular superannuation payments is included in both tax outputs.

• Anadjustmenthasbeenmadeforotheroffsets(additionaltotheprevioustaxmodel estimates of LITO, SATO, PETO, SAPTO, MATO and SPOUTO).

• AnadjustmentforWaves1–9hasbeenmadeforsalarysacrificedincome‘usually included’ in reported wages which affects the tax estimated. The salary sacrificed income reported from Wave 10 onwards is used instead of this adjustment in later waves.

• Thesecondsetofoutputsofgrossincome/taxes/disposableincomefor‘totalincome’ (including irregular) is also supplied at the household level.

• GovernmentBonuspayments(fortheCleanEnergyAdvancePaymentandSchoolkids Bonus) have been estimated for 2011–12 and are included in Australian Government non-income support payments.

• TheMedicareLevySurchargeisestimatedfor2011–12forthosewhodidnothave hospital (insurance) cover for the whole 12 months and is added to estimated taxes.

A number of other corrections can be found in the ‘Readme 120.pdf’ file on the DVD.

Individual Licences

Requests for a copy of the Release 12 DVD can be made by sending the appropriate forms to the Department of Social Services. A charge of A$77.00 (GST inclusive) to cover postage and administrative costs is payable to the Melbourne Institute, University of Melbourne (A$121.00 for overseas users). The Deed of Licence is available from the HILDA Survey website.

The Release 12 DVD

Improvements to the Release 12 DVD

Data requests


HILDA website

Organisational Licences

A flat fee of A$330.00 (GST inclusive) is charged for each release of data. Overseas organisations pay A$330.00 which is GST exclusive. The fee covers all datasets until the next release is available.

Please contact the Department of Social Services at [email protected] if your organisation would like to apply for an Organisational Licence. Organisational Licences are ongoing and do not have to be signed each year. However, users at organisations with an existing Organisational Licence who wish to obtain access to the latest data release will need to complete a new Deed of Confidentiality, which can be obtained from your Data Manager.

http://www.melbourneinstitute.com/hilda/

The HILDA Survey website provides further details about the HILDA Survey and its progress. Copies of all survey instruments, the User Manual and various discussion and technical papers can be viewed and downloaded from the HILDA Survey website. Individual Licence Order Forms and Deeds of Licence for the dataset can also be found on this site.

HILDA Survey

Annual�Report�2013

Funded by the Australian Government Department of Social Services

Documents

Household, Income and Labour Dynamics in Australia (HILDA) …library.bsl.org.au/jspui/bitstream/1/1834/1/www... · 2015-09-16 · Page 5 – HILDA Survey Annual Report 2013 Wave