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The South Sudan Experimental Phone Survey: Experiences and Lessons. Gabriel Demombynes April 20. 2011 Workshop on “More Frequent, More Timely & More Comparable Data for Better Results”. Outline. Why? How? What Worked? What Didn’t Work? Lessons for the Future. Why?. - PowerPoint PPT Presentation
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The South Sudan Experimental Phone Survey: Experiences and Lessons
Gabriel DemombynesApril 20. 2011
Workshop on “More Frequent, More Timely & More Comparable Data for Better Results”
Outline
• Why?• How?• What Worked?• What Didn’t Work?• Lessons for the Future
Why?
• To see if it would work• The PA• A data generating platform
How? Phase I
• Phones delivered to 1000 households
• Representative sample of 10 state capitals (urban only, in a rural country)
• Delivery done by Southern Sudan Centre for Census, Statistics and Evaluation in Oct 2010
Some key features of delivery• Pilot conducted in 2 towns in July 2010• Agreement letter• Calendar• 2 types of phones: Nokia vs. solar• 2 levels of airtime credit: 5 vs. 10 SDG• WB supervision in half of locations• Airtime lottery• Backup phone number collected• Choice of language: Juba Arabic, Dinka, Nuer, English• Attempt to get age, gender diversity
July 2010 Pilot
July 2010 Pilot
July 2010 Pilot
November 2010 Phase 1
November 2010 Phase 1
November 2010 Phase 1
November 2010 Phase 1
November 2010 Phase 1
November 2010 Phase 1
Phase II: December 2010-March 2011
• Calls made monthly by Horizon Contact Center, Nairobi-based call center
• Callers: South Sudanese living in Nairobi• “Core” questions from Afrobarometer• “Special” questions asked each month• 15-20 minute interview
Figure 1: Views on the Referendum on the Independence of Southern Sudan
57
90
98
10 20 30 40 50 60 70 80 90 100%
Expect long term peace
Favor independence
Aware of the referendum
Figure 3: Responses to “Looking back, how do you rate the following compared to twelve months ago: Your living conditions?“
0 10 20 30 40 50 60 70 80 90 100%
ZimbabweNigeriaGhanaLiberia
NamibiaMalawi
MozambiqueBurkina Faso
ZambiaMali
UgandaTanzania
BotswanaSouth Africa
BeninSenegal
Cape VerdeMadagascar
SOUTHERN SUDANKenya
Lesotho
''Better'' or ''Much Better'' ''Worse'' or ''Much Worse''
Figure 5: Responses to “Looking ahead, do you expect the following to be better or worse: Your living condition in twelve months time?”
0 10 20 30 40 50 60 70 80 90 100%
NigeriaZimbabwe
Cape VerdeGhana
MaliBurkina FasoMozambique
LiberiaBenin
BotswanaSOUTHERN SUDAN
MadagascarNamibiaMalawi
UgandaSenegalZambia
South AfricaKenya
TanzaniaLesotho
''Better'' or ''Much Better'' ''Worse'' or ''Much Worse''
Figure 8: Responses to “In the last year, have you or anybody in your family gone without enough food?”
6147
4141
4040
393737
3632
2827
262525
242020
1513
0 10 20 30 40 50 60 70 80%
ZimbabweBenin
SOUTHERN SUDANLesotho
MadagascarLiberia
Burkina FasoZambia
NamibiaSenegal
MalawiNigeria
MozambiqueKenya
TanzaniaMali
BotswanaUganda
South AfricaCape Verde
Ghana
Figure 10: Responses to “Over the past year, how often, if ever have you or
anyone in your family been physically attacked?”
98
7777
66
54
3333333
222
1
0 10 20 30 40 50 60 70 80%
NamibiaNigeria
UgandaSouth Africa
LiberiaBurkina Faso
ZimbabweSOUTHERN SUDAN
KenyaMalawiZambia
TanzaniaMali
LesothoCape Verde
BotswanaBenin
SenegalMozambique
GhanaMadagascar
Figure 11: Responses to “Over the past year, how often, if ever, have you or anyone in your family had something stolen from your house?”
7024
2323
1916161616
151414
1312
1111
109
87
4
0 10 20 30 40 50 60 70 80%
SOUTHERN SUDANBurkina Faso
UgandaLiberia
MozambiqueSouth Africa
SenegalNamibia
MaliZimbabwe
NigeriaBenin
GhanaBotswana
MalawiLesothoZambiaKenya
TanzaniaCape VerdeMadagascar
What Worked Well
• Outsourcing major work with coordination by Bank consultant
• Arrangement with South Sudan stats office• Contract with call center
What Didn’t Work Well
• Timing of Airtime Transfers• High-frequency coordination of payments with
Juba and Khartoum offices
Attrition Over TimePercentages of Households Completing The Interview Each Month
5 SDG 10 SDG0
102030405060 54 50
% Responding in Month 4, by Airtime Credit
Nokia Solar0
102030405060
51 53
% Responding in Month 4, by Phone Type
BORJU
BA
RUMBEKTORIT
MALAKAL
KWAJOK
AWEIL
BENTIUWAU
YAMBIO0
10
20
30
40
50
60
70
80
90
27
63
4536
78
28
58
43
6472
% Responding in Month 4, by City
BORJU
BA
RUMBEKTORIT
MALAKAL
KWAJOK
AWEIL
BENTIUWAU
YAMBIO0
10
20
30
40
50
60
70
80
90
27
63
4536
78
28
58
43
6472
% Responding in Month 4, by City
Owned other phone No other phone0
1020304050607080
68
42
% Responding in Month 4, by Ownership of Other Phone
Conclusions
• Outsourcing components, with WB management, worked well
• Lower attrition, lower cost in places with higher cell phone ownership, e.g. Kenya
• More analysis on substance and attrition to come
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