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INFO 7470/ECON 7400/ILRLE 7400 Measuring Business and
Economic Activity
John M. Abowd and Lars Vilhuber with contributions by Jim Davis, Brent Moulton
and Wayne GrayFebruary 18, 2013
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Outline
• Structure of the economic statistics in the U.S.• The National Income and Product Accounts• Industry and Product Classification• Input/Output Tables• The Economic Census• The Business Register• Economic Surveys
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Economic Statistics in the U.S.
Department of Commerce• Economics and Statistics
Administration– Census Bureau
• Economic Censuses• Annual, Quarterly, Monthly
Surveys of Sectors and Indicators• NAICS, NAPCS
– Bureau of Economic Analysis• Inputs from Census + BLS + Fed
+ many other sources• National accounts, International
trade, Regional accounts, Industry accounts, Financial accounts, Integrated accounts
Department of Labor• Bureau of Labor Statistics
– Wage, salary, compensation, prices, productivity
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What are the National Accounts?• One of the most watched sets of statistics worldwide• Standards developed by many national statistical agencies• Simon Kuznets was awarded the 1971 Nobel Memorial Prize in Economics for his
development of national income accounting http://www.nobelprize.org/nobel_prizes/economics/laureates/1971/
• The National Income and Product Accounts (NIPAs) are a set of economic accounts that track economic flows within the U.S. economy
• Two key NIPA measures are:– Gross Domestic Product (GDP): Measures the total value of goods and services produced
within the U.S. in a period– Gross Domestic Income (GDI): Measures the incomes earned and the costs incurred in
producing those goods and services
• http://bea.gov/national/pdf/nipa_primer.pdf
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The Circular Flow
Households Businesses
Goods and services
Labor
Income
Expenditures
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NIPA Seven-account Summary
• Domestic Income and Product Account • Private Enterprise Income Account• Personal Income and Outlay Account• Government Receipts and Expenditures
Account• Foreign Transactions Current Account• Domestic Capital Account• Foreign Transactions Capital Account
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GDP As Value Added
• Value added is measured as: Output less intermediate consumption Both measured at market prices
• Example: Wheat to flour to bread to you– GDP is value of bread– Equals sum of value added of farmer, miller, baker, grocery
store• GDP– Sum of industry value added– Also equals sum of final expenditures– Also equals sum of income earned in production
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Detail of Bread Example
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Intermediate Product Income Sales Value Added
Farmer, wheat 0 1 1 1Miller, flour 1 2 3 2Baker, bread 3 4 7 4Supermarket 7 2 9 2
TOTAL 11 9 20 9
GDP Final sales to consumers 9 Product side Income 9 Income side Value added 9 Value added
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Account 1: Domestic Income and Product
Personal consumption expenditures
Gross private domestic investment
Net exports of goods and services
Government consumption expenditures and gross investment
Compensation of employees, paid
Taxes on production and imports
Less: Subsidies
Net operating surplus
Consumption of fixed capital
Gross Domestic Income Gross Domestic Product
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Expenditure components of GDP (2012)
GDP = C + I + G + X - M
= GDPConsumption Investment Government Exports less: Imports
70.5%
13.2%19.6%
13.9%
-17.2%
Components of GDP (2012:III)
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Account 1: Domestic Income and ProductPersonal consumption expenditures
Gross private domestic investment
Net exports of goods and services
Government consumption expenditures and gross investment
Compensation of employees, paid Taxes on production and imports Less: Subsidies Net operating surplus Consumption of fixed capital
Gross domestic income
Statistical discrepancy
Gross Domestic Product Gross Domestic Product
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Income Components of GDP (2012)
= GDPCompen
sation of e
mployees,
paid
Taxe
s on pro
duction an
d imports
less: S
ubsidies
Net opera
tion surp
lus
Consumption of fi
xed ca
pital
Statisti
cal Disc
repan
cy
54.3%
7.1%
-0.4%
25.3%
12.8%
0.9%
GDP: Income Side (2012:III)
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Account 1: Value Added EquivalencePersonal consumption expenditures
Gross private domestic investment
Net exports of goods and services
Government consumption expenditures and gross investment
Value added by business
Value added by households and institutions
Value added by government
Gross Domestic Product Gross Domestic Product
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Value Added Components of GDP (2012)
= GDPBusiness Households and Institutions Government
75.9%
12.2% 11.9%
GDP: Value Added (2012:III)
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Features of national accounts
• Inflation-adjusted (“real” GDP)
• Quarterly frequency
• Seasonally adjusted
• Annualized
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Estimation Cycle
• “Advance” estimates are released about 31/2
weeks after a calendar quarter concludes
• “Preliminary” and “final” estimates are released 30 and 60 days after the advance
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Annual Revisions and Benchmarking
• “Annual revisions” are released in July of non-comprehensive revision years
• “Comprehensive revisions” occur about every 4-5 years (most recent: 2010)
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Featured Measures• Real GDP growth, as indicated by the percent change in the
chain-type quantity index
• Contributions to real GDP growth reflect the role that individual components of GDP play in producing the growth in GDP
• Gross domestic purchases price index (and personal consumption expenditures price index)—inflation measures that reflect prices of goods and services purchased by U.S. residents
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Other Important GDP-related Measures
• Current-dollar GDP represents the value of production at a point in time
• GDP percentage shares provide a measure of the size and importance of a component
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Chained-Dollar GDP
• Chained-dollar GDP is the product of current-dollar GDP in the reference year and the GDP quantity index (divided by 100)
• Chained-dollar components do not add to the total
• See “Chained-Dollar Indexes” from the November 2003 Survey of Current Business
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NBER RecessionsReal GDP growth
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Source Data: Economic Census
• Primary source data for benchmark input-output accounts– Estimates supply of products by industry and use
of products by industry and final expenditures– Critical because it provides details necessary to
separate intermediate consumption from final expenditures
http://www.bea.gov/industry/io_annual.htm
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Annual Survey Source Data
• Annual Retail Trade Survey– Personal consumption expenditures (PCE) for goods;
inventories• Services Annual Survey – PCE services• Annual Survey of Manufactures– Investment in equipment; inventories
• Value of construction put in place – structures• Annual Trade Survey – inventories• Foreign trade data• Government Finances Survey2/18/2013
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Example: Equipment Investment
“Commodity flow” method:• ASM data on shipments of detailed durable goods
product categories• Subtract those going to intermediate uses• Add imports: “domestic supply”• Subtract goods going to exports, government, PCE• Add margins• Result is estimate of private investment in
equipment
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Example: Retail Trade
• Sales by retail industry• Merchandise lines (products) data by industry
from last economic census• Estimate products, controlling the total to
total retail sales for categories selling primarily to consumers
• Deflate using detailed CPIs• Result is estimate of PCE for goods
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Quarterly Source Data
Census indicator surveys:• Manufacturers’ Shipments, Inventories, and
Orders (M3): shipments and inventories for equipment investment, manufacturing inventories
• Monthly retail trade for PCE goods, retail inventories
• Wholesale trade inventories• Value put in place for structures• Foreign trade data
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Data Issues
• Business births may not be promptly captured or included in samples.
• Non-participation in voluntary surveys may be problem – Economic Census is mandatory– Annual, quarterly and monthly surveys are not
• Respondents may not follow instructions.– Example: may report worldwide shipments or
inventories2/18/2013
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Diagnosing Data Problems
• Statistical discrepancy is high level indicator of problems
• Monitor revisions: persistent large revisions or revisions in the same direction
• Research on data issues
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The Economic Census and Business Register
• Overview of provenance• Economic Census• Methods• Classifications• Business Register• Record structure• Identifiers• Creating establishment analysis files• Creating Company (Alpha) Files• Using bridges to other data2/18/2013
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Economic Census (EC) 2012
• Target population– Employer and non-employer establishments in
covered industries (essentially everything except agriculture and government)
• Methods– Large employers and a sample of small employers
covered by mail questionnaire– Remaining establishments estimated from
administrative records (mostly tax returns)
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Methods for the Economic Census
• The EC is a mandatory survey of business establishments
• Because sampling is used for small entities in all industries, it is not technically an enumeration
• Main objective is to capture information needed to measure business volume (sales) and operations in detail that permits– Frame updating for the Business Register and business
sampling frames– Intermediate goods consumption in support of value added
concepts for the national accounts2/18/2013
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Economic Activity Classifications
• North American Industry Classification System (NAICS) http://www.census.gov/eos/www/naics/
– Updated for each Census since 1997 (2002, 2007, 2012)– Jointly maintained by the U.S. Economic Classification Policy
Committee (OMB, BEA, BLS, Census)– Main classification system for economic activity– Sectors, Sub-sectors (3-digits), Industry groups (4-digits), Industry
(5-digits), Country-specific codes for U.S., Canada, Mexico (6-digits)• North American Product Classification System
– Within each NAICS classifies the products produced in trilateral (all three countries) or country-specific
– Still in development
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Economic Census Files in RDC
* Not in RDC data warehouse** Included in Services*** 2012 in the fieldhttps://www.census.gov/ces/dataproducts/economicdata.html
Industry19631967
1972
1977
1982
1987
1992
1997
2002
2007
2012
CMI Mining X X X X X ***CCN Construction X X X X X X X X ***CMF Manufacturing X X X X X X X X X ***CUT Transportation
and Utilities X X X X X ***
CWH Wholesale X X X X X X X ***CRT Retail X X X X X X X ***CFI Finance,
Insurance and Real Estate
X X X X ***
CSR Services X X X X X X X ***AUX Auxiliaries X X X X X ** ** **
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Questionnaires and Procedures• 1997 Economic Census forms
http://www.census.gov/epcd/www/ec97form.html• 2002 and 2007 Economic Census forms
http://bhs.econ.census.gov/bhs/pages/formarchive.html • 2012 Economic Census forms
http://bhs.econ.census.gov/ec12/php/census-form.php • History of the 1997 Economic Census
http://www.census.gov/prod/ec97/pol00-hec.pdf• Procedural history of the 2002 Economic Census
http://www.census.gov/prod/ec02/ec02-00r-hist.pdf• History and archive of the 2007 Economic Census
http://www.census.gov/econ/census07/www/methodology/history.html • Operational guide to the 2012 Economic Census
http://bhs.econ.census.gov/ec12/index.html
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Employer Business Register (BR)
• Target Population:– Employer establishments in the same industries as
are covered by the Economic Census• Methods:– Continuously updated database of establishments
divided into multi-unit and single-unit businesses
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Maintenance of the BR
• Businesses are classified based on whether or not they have multiple establishments as of the last Economic Census (MU and SU, resp.)
• Currently approximately 160,000 MU companies with 1.8 million affiliated establishments; 5 million SU establishments; 21 million non-employer businesses
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Maintenance of the BR II
• Known MU companies surveyed in the Report of Organization Survey to update structure between Economic Censuses
• “Discovered” MU companies (respondents to surveys) added to ROS frame between censuses
• Weekly updates by Employer Identification Number from business income tax returns and information reports– SU: used directly– MU: allocated based on information from the ROS
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Record Structure
• Economic Census– All establishments whether from mail
questionnaire or administrative record– Separate files for Construction, Manufactures,
Mining, Retail Trade, Services, (Transportation, Communications, and Utilities), Wholesale Trade
– Example files are from Census of Manufactures
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Record Structure
• Employer Business Register Single-units (SU)– One record for each single unit establishment– One record, called a submaster, for each multiunit
company
• Employer Business Register Multi-units (MU)– One record for each establishment for each multi-unit– Report of Organization Survey http://
bhs.econ.census.gov/2002forms/nc99002.pdf (2002) http://bhs.econ.census.gov/bhs/cos/form.html (most recent)
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Identifiers
• Entity Identifiers– Census File Number (CFN)– Employer Identification Number (EC: EI; BR: EIN)– Permanent Plant Number (PPN)– LBD number (LBDNUM) (LBD-version specific)– Census Alpha (EC: EIALPHA; BR: derived)
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Census File Number (CFN)• Used for both the EC and BR as the sort order and
main index for the file• Always Character 10 ($10.)• For Single-units– First character “0”– Last 9 characters Federal Employer Identification Number
(EIN)• For Multi-units– First character nonzero– First six characters Census Alpha– Last four characters establishment ID
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Employer Identification Number
• Taxable (legal) entity identifier• Always Character 9 ($9.)• For SUs, equivalent to CFN and unique• For MUs, applies to the owning entity– An Alpha (see below) may be associated with
multiple EINs
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Permanent Plant Number
• Longitudinal link based on CFN• Always Character 10 ($10.)• Quality improves since inception in 1982• Longitudinal links from Longitudinal Business
Database are preferable (LBDNUM) (Jarmin and Miranda)
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Census Alpha
• Identifies the business that owns (50% or greater interest) the establishment for MUs
• EC and BR-SU– Character 6 ($6.) and never has a leading 0– Called EIALPHA
• BR-MU– Character 10 ($10.)– Called ALPHA
• Used to construct enterprise-level entities
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Business Register Redesign• 2002 Business Register redesigned• SURVU_ID replaced CFN• SURVU_TYPE– MU/SU– ARU = Alternative reporting unit– SBM = EIN level reporting
• File Structure– Base/Misc– Line/Trailer – line code (LCODE) observations
• Historical identifiers (e.g., CFN, PPN) carried forward for continuers
• Newer versions of microdata have LBDNUM2/18/2013
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Identifiers
• Geography Identifiers– State identifiers– County identifiers– City identifiers– Full Census geography (BR only)
• Activity Identifiers– Industry Codes (NAICS, SIC)– Product Codes
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Geography Identifiers
• EC and BR– State (Census and FIPS)– County (Census and FIPS)– Consolidate Metropolitan Statistical Area (FIPS)
• BR only– Census Block – Zip– County Business Patterns Geography
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Geography Identifiers
• Contemporaneous geographic definitions• Virginia city-counties
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County Changes Since 1977• La Paz, Arizona (created 1983) back into Yuma
– replace fips=4027 if fips==4012• Cibola, New Mexico (created 1981) back into Valencia
– replace fips=35061 if fips==35006• Washabaugh, South Dakota (merged 1979) back into Jackson
– replace fips=46071 if fips==46131• St. Genevieve, Missouri renumbered in 1982
– replace fips=29186 if fips==29193• Muskogee, Georgia renumbered in 1982
– replace fips=13215 if fips==13510• Denver
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Activity Identifiers
• NAICS (2002, 2007, 2012)– Full U.S. Industry code (Char 6)– Derived industry codes
• SIC– Full 1987 SIC (6-digits to product class code)
• Contemporaneous industry definitions• NAICS to SIC bridge codes– McKinney (see Assignment)– Klimek and Fort
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RDC 1997, 2002 and 2007 NAICS Sector Files
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NAICS Sectors RDC 1997/2002/2007 Files31-33 CMF (Manufactures)22, 48-49 CUT (Utilities)42 CWH (Wholesale)44-45, 72 CRT (Retail)51, 54, 56, 61, 62, 71, 81 CSR (Services)52, 53 CFI (FIRE)55 CSR in 2002 2007
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Finding Active Entities
• EC– Use sample weight (WT>0)
• BR-SU– Exclude submasters (PDIV=“M”)– Payroll or employment positive (see example)
• BR-MU– Exclude ghosts (ACT=“G”)– Payroll or employment positive (see example)
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Creating Custom Entities• Establishment-level files– EC: natural organization– BR-SU: exclude submaster records– BR-MU: exclude ghosts
• Company-level files– EC: use EIALPHA to find related establishments– BR: create compatible ALPHA10 in SU to get information
on submasters to link to establishments on MU• Pseudo-establishments– Combine establishments based on EIN, geography and
activity
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Variety of Uses
• Population Census = size of population?• Economic Census = size of economy?• Aggregate economic growth • Published disaggregation– Industry, Geography, Plant size
• Also confidential micro-data• Public Policy topics (and academic)
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Business Surveys and Research Tools
• The Annual Survey of Manufactures• The Longitudinal Research Database• Other business burveys• National Income and Product Accounts• Industry-level Research• Plant-level Research
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ASM Overview
• Nature of the survey• Sampling frame and plan• Documentation• ASM data in RDCs
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Basic ASM Concepts
• “manufactures,” not “manufacturers”• manufacture (plural: manufactures)– The making of goods or wares by manual labor or
by machinery, especially on a large scale.– The making of producing of something; generation– the thing manufactured– (Webster's College Dictionary, 1996)
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Nature of the Survey
• To provide key intercensal measures of manufacturing activity, products, and location for the public and private sectors
• Best measure of current U.S. manufacturing industry outputs, inputs, and operating status
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ASM Essentials• The Annual Survey of Manufactures (ASM) provides sample
estimates of statistics for all manufacturing establishments with one or more paid employee
• The U.S. Census Bureau conducts the ASM in each of the 4 years between the economic census which is collected for years ending in 2 and 7
• The economic census - manufacturing is the sample frame from which the ASM is chosen and presents more detailed data than the ASM
• Both input and output measures collected http://www.census.gov/manufacturing/asm/
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Target Population
• All manufacturing establishments with one or more paid employees
• Multi-activity locations are broken into separate “establishments,” at the discretion of the reporting entity, “if the plant records permit such a separation and if the activities are substantial in size”
• Exclusions:– Central administrative offices– Non-employers
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Sampling Frame and Plan• Frame population: Economic Census of Manufactures in the 2 and 7 years• Sample is drawn in the 3 and 8 years, then used for five consecutive years (4-
8 and 9-3)– This means that a component of any Census of Manufactures is the ASM sample,
which was drawn from a frame population based on the previous EC– Supplemental frame of new establishments is used to refresh sample between ECs
• Base sample is a multistage probability sample with large establishments sampled with probability one (self-representing)
• Consequence: a component of any Census of Manufactures is the ASM sample, which was drawn from a frame population based on the previous CM
• Refreshing: Supplemental frame of new establishments is used to refresh sample between CMs
• There have been many significant redesigns of the ASM sample• Historical information is in McGuckin and Pascoe (CES WP 88-2)
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Frame Maintenance ASM
• Between Economic Censuses– Internal Revenue Service administrative records
(=> Business Register updates, Register-based statistics) are used to include new single-unit manufacturers
– Report of Organization Survey (administered simultaneously) identifies new establishments of multi-unit firms
– Manufacturers’ Classification Survey identifies kinds of business
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Sampling Method
• Sampling method:– ~ 15,000 establishments with certainty (about
67% of total value of shipments in 2007)– ~ 35,000 establishments with probability
proportional to a composite measure of establishment size (.05 to 1.00 in 2007)
http://www.census.gov/manufacturing/asm/how_the_data_are_collected/index.html
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Survey Content
• Employment• Payroll• Value added by manufacture • Cost of materials consumed• Value of shipments • Detailed new capital expenditures, • Supplemental labor costs • Fuels and electric energy used • Inventories by stage of fabrication2/18/2013
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Documentation• Questionnaire– http://bhs.econ.census.gov/bhs/asm/form.html
• Publications:– http://www.census.gov/manufacturing/asm/
• Purpose: measure size of aggregate economy and individual industries, compute components for the National Income and Product Accounts
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ASM Uses
• Official publications:– Statistics for Industry Groups and Industries– Value of Product Shipments– Geographic area statistics (by state)
• Publications: last for 2005 data http://www.census.gov/prod/2006pubs/am0531gs1.pdf
• Tabular data (replaces printed publication since 2006 data) http://factfinder2.census.gov/faces/nav/jsf/pages/searchresults.xhtml?refresh=t#none
• Documentation/methods http://www.census.gov/manufacturing/asm/definitions/index.html2/18/2013
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ASM Uses (continued)
• Microdata analysis in RDCs• Documentation at:
https://www.census.gov/ces/dataproducts/economicdata.html http://www.census.gov/manufacturing/asm/definitions/index.html
• Annual Survey of Manufactures data available at RDCs for 1973 to 2011
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Linkages to the ASM
• Data elements:– By CFN– By name– By EIN– By location
• Dimensions– To CM– To other surveys– Across time (LRD, LBD)
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Longitudinal Business Database LBD
• Historical Longitudinal Research Database (LRD)– Longitudinal integration of ASM and CM (Census
of Manufactures) data• Linking the LRD to other data• Using the LRD in RDCs• The LBD and ILBD
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Why Longitudinal (LRD)?
• Follow entities over time• Total Factor Productivity growth
Growth accounting methodTFP growth = output growth – input growth
• Capital stockPerpetual inventory method(investment flows, depreciation rate)Example: Becker & Grey (2005)
http://www.nber.org/data/nbprod2005.html
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Longitudinal Integration of ASM/CM
• Described in detail in McGuckin and Pascoehttp://www.census.gov/econ/overview/ma0800.html
• Large establishments have a different dynamic pattern than small establishments due to sample design (self-representing vs. sampled)
• Consistent variable definitionshttp://www.census.gov/econ/overview/ma0800.html
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Linking the LRD to Other Data
• Establishment identifiers are provided, can link to other Census-collected datasets
• Some links to non-Census data already exist (Compustat, EPA data, ES-202)
• Other links are accomplished by using the Business Register and record linking software
• A more extensive set of links is available using the Longitudinal Business Database (discussed later)
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Using the LRD in RDCs
• LRD includes ASM and CM data• LRD is requested by requesting the
appropriate years of ASM and CM (“Longitudinal” part comes from the establishment-specific linkages included in the CES-based versions of the ASM and CM data files)
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Extension to LBD and ILBD
• Longitudinal Business Database (1976-2010)https://www.census.gov/ces/dataproducts/datasets/lbd.html
• Improved longitudinal linkages• Extended to non-manufacturing
– May be non-establishment aggregates– Fewer data variables available– Less annual data available– Will be treated extensively later in the course
• Integrated Longitudinal Business Database (ILBD)– Includes non-employer businesses– There are holes and research issues
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Overview LBD
• Jarmin & Miranda (2002) CES-WP-02-17http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2128793
• Improved longitudinal linkages– Based on the Business Register only– Fixes broken linkages using probabilistic matching
based on name and location– (similar data in other countries is often linked by
worker flows only, see LEHD data later in the course for similar linkages)2/18/2013
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Additional Benefits/Costs LBD
• Linkage to ASM, CM, other surveys• Extended to non-manufacturing– May be non-establishment aggregates– Fewer data variables available– Less annual data available
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Supreme Benefit of LBD
• A synthetic version is available outside the RDChttp://www2.vrdc.cornell.edu/news/data/lbd-synthetic-data/
• Kinney et al. (2011) http://www.census.gov/ces/pdf/CES-WP-11-04.pdf
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Key identifier: LBDNUM
• LBDNUM is a time-consistent identifier• Not permanent: is readjusted with every release
of newer LBD data• Available in other economic Census data
(CFI/CUT/CWH/CSR/CRT)– “The variables LBDNUM_200500, LBDNUM_C200907,
and LBDNUM_C201002 indicate the LBDNUMs that can be linked to the C200500, C200907, and C201002 versions of the LBD. The variable LBDNUM … [links to] the latest version of the LBD”
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Other Business Data
• Censuses of Construction, Finance (FIRE), Manufactures, Mining, Retail Trade, Services, Transportation Communication and Utilities (CUT), Wholesale Trade
• Linking tools: Compustat, IRS Form 5500 (pension and benfit plans), LBD, ILBD, Ownership Change Database, Business Register
https://www.census.gov/ces/dataproducts/economicdata.html
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832/18/2013
Other Business Data II
• Establishment Surveys– ASM– Current Industrial Reports (from the Energy Information
Administration)– Medical Expenditure Panel (from AHRQ)– National Employer Survey (from Department of Education)– Quarterly Survey of Plant Capacity Utilization (from Federal
Reserve)– Survey of Manufacturing Technology– Pollution Abatement Costs and Expenditures Survey
https://www.census.gov/ces/dataproducts/economicdata.html
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842/18/2013
Other Business Data III• Firm Surveys
– Annual Capital Expenditure Survey– Annual Surveys of Retail Trade, Wholesale Trade, Services– Business Expenditure Survey (every 5 years)– Business Research and Development (new, NSF)– Survey of Industrial Research and Development (discontinued, NSF)– Exporter Database (International Trade Administration)– Kauffman Firm Survey– Manufacturers’ Shipments, Inventories, Orders (M3)– Quarterly Financial Report– Survey of Business Owners (every 5 years)
• Transaction Surveys– Commodity Flow Survey (DOT)– Foreign Trade Data (Imports/Exports)
https://www.census.gov/ces/dataproducts/economicdata.html
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852/18/2013
Census of Manufactures
• Includes Annual Survey questions, plants• Includes all establishments (not just ASM)• Includes many additional questions– Expenditures on computers– Inventory valuation– Materials consumed– Questions vary over time
• Published detail: geography, size classes
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86
Using ASM to Complement CM
• Foster, L.; Haltiwanger, J. C. & Krizan, C. J. (2001), “Aggregate Productivity Growth. Lessons from Microeconomic Evidence”, in Charles R. Hulten & Edwin R. Dean & Michael J. Harper, ed., New Developments in Productivity Analysis
• Example of issue: “for plants that were not in the Annual Survey of Manufactures [...] but in the mail universe of the CM, book-value data are imputed in years other than 1987.”
• Solution: use ASM as control for larger model2/18/2013
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872/18/2013
PACE Survey
• Pollution Abatement Costs and Expenditures• Subsample of ASM (high-pollution sectors)• Capital expenditures and operating costs• 1973-1986, 1988-1994, 1999, 2004/5+• Published with geography, industry detail
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88
PACE Research Usage
• http://www.ces.census.gov/index.php/ces/searchpapers?search_terms=pace&allpapers=1
• CES-WP-93-6, “Environmental Regulation And Manufacturing Productivity At The Plant Level” (Gray and Shadbegian) http://ideas.repec.org/p/cen/wpaper/93-6.html – PACE => abatement capital stock– ASM => productivity, size– EPA data => emissions– “a $1 increase in compliance costs appears to reduce TFP by
the equivalent of $3 to $4” 2/18/2013
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892/18/2013
Industry-level Research
• NBER-CES Manufacturing Industry Database (Bartelsmann, Becker, Gray)– Latest at
http://www.nber.org/data/nbprod2005.html – Annual industry-level data on output, employment,
payroll and other input costs, investment, capital stocks, TFP, and various industry-specific price indexes
• Available in RDC• Other Published Data• Research Examples
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902/18/2013
CES-NBER Manufacturing Industry Productivity Database
• Available on NBER websitehttp://www.nber.org/nberces/nbprod96.htm
• Documented in Bartelsman and Gray http://www.nber.org/nberces/t0205.pdfand Bartelsman, Becker, Grayhttp://www.nber.org/nberces/
• Basic ASM-CM data• Also prices, capital stock, productivity• Consistent industries (SIC/NAICS)• Currently to 2005
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912/18/2013
Other Published Data
• Other ASM data– Labor costs, investment, inventories
• Economic Censuses– Geography, some size classes
• Complications– Changes in industry definitions– Hard to get older years in electronic form
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922/18/2013
Research Examples
• Impact of Pollution Abatement Costs– Combine PACE and ASM data– Geographic (SMSA) variation, employment– Industry variation, productivity slowdown
• Impact of Trade on Employment– Combine import/export data with ASM data
• Impact of Computers on TFP– Combine CM-computers and ASM data
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932/18/2013
Plant-Level Research
• Advantages and Disadvantages• Standard Procedures• Research Examples
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942/18/2013
Advantages and Disadvantages
• Advantages– Many more observations– Comparisons within industry– Micro/Plant foundations of Macro/Industry
• Disadvantages– More work to understand/clean data– Need to work at RDC (time, $)
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95
Standard Procedures
• Often examining plants in single industry– Easier to justify common “production function”
• Nearly always linking to external data– Usually plant-specific external data– Sometimes geography-specific data
2/18/2013
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962/18/2013
Research Examples
• CES working papers http://ideas.repec.org/s/cen/wpaper.html
• Shadbegian and Gray (2003)– PACE => abatement capital stock– ASM => productivity, size– EPA data => emissions
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97
BLS Surveys
• National Compensation Survey (NCS) http://www.bls.gov/ncs/
• Occupational Employment Statistics (OES) http://www.bls.gov/oes/
• Job Openings and Labor Turnover Survey (JOLTS) http://www.bls.gov/jlt/
• Current Employment Statistics (CES) http://www.bls.gov/ces/
2/18/2013
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98
BLS RDC
• Access to the confidential versions of these surveys is only feasible at the BLS RDC in Washington (not the Census RDC)
• Protocols are different (more resource constrained)
http://www.bls.gov/bls/blsresda.htm
2/18/2013