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    Home / Central Data Catalog / IMPACT_EVALUATION / GHA_2008_MGFERE_V01_M / variable [F2]
impact_evaluation

Microenterprise Growth and the Flypaper Effect, Randomized Experiment 2008-2010

Ghana, 2008 - 2010
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Reference ID
GHA_2008_MGFERE_v01_M
DOI
https://doi.org/10.48529/0gsj-b583
Producer(s)
David McKenzie, Marcel Fafchamps, Simon Quinn, Christopher Woodruff
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 23, 2015
Last modified
Apr 23, 2015
Page views
222071
Downloads
13240
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • GhanaBaselineMultiple_la
  • GhanaBaselineSingle_la
  • GhanaRound2Multiple_la
  • GhanaRound2Single_la
  • GhanaRound3Single_la
  • GhanaRound4Multiple_la
  • GhanaRound4Single_la
  • GhanaRound5Single_la
  • GhanaRound6Multiple_la
  • GhanaRound6Single_la
  • r7tomerge
  • ReplicationDataGhanaJDE
  • TreatmentAssignment

Total value of kiosk/shed/building when starting the business (balance_4b)

Data file: GhanaBaselineSingle_la

Overview

Valid: 317
Invalid: 0
Type: Discrete
Start: 2199
End: 2220
Width: 22
Range: -
Format: character

Questions and instructions

Question pretext
When you started, did you have any kiosk/shed/building? (balance_4a)
Literal question
If yes, enter the total value. (balance_4b)
Categories
Value Category Cases
0 18
5.7%
0.05 1
0.3%
00 1
0.3%
1 2
0.6%
1,000,000 2
0.6%
1,200,000 1
0.3%
1,500,000 1
0.3%
1,800,000 1
0.3%
10 4
1.3%
10.0 1
0.3%
100 11
3.5%
100,000 1
0.3%
1000 4
1.3%
10000 2
0.6%
100000 5
1.6%
1000000 4
1.3%
110 1
0.3%
1100 1
0.3%
11000000 1
0.3%
1194 1
0.3%
12 rent for two years 1
0.3%
12,000 1
0.3%
12,000000 1
0.3%
1200 4
1.3%
1200000 1
0.3%
12000000 2
0.6%
13 1
0.3%
130 1
0.3%
13000000 2
0.6%
148 1
0.3%
15 2
0.6%
150 10
3.2%
150,000 2
0.6%
1500 1
0.3%
150000 2
0.6%
1500000 9
2.8%
15000000 1
0.3%
160000 1
0.3%
168 1
0.3%
1700000 2
0.6%
1800 1
0.3%
1800000 1
0.3%
18000000 1
0.3%
2 1
0.3%
2 000 000 1
0.3%
2 500 000 1
0.3%
20 8
2.5%
20,000 1
0.3%
200 12
3.8%
2000 3
0.9%
20000 2
0.6%
200000 3
0.9%
2000000 2
0.6%
22.50 1
0.3%
24000 1
0.3%
25 1
0.3%
250 3
0.9%
2500 2
0.6%
250000 1
0.3%
2500000 2
0.6%
280 1
0.3%
30 6
1.9%
300 15
4.7%
3000 2
0.6%
30000 2
0.6%
300000 3
0.9%
3000000 3
0.9%
350000 1
0.3%
3500000 4
1.3%
360 1
0.3%
4 1
0.3%
40 2
0.6%
400 8
2.5%
400 000 1
0.3%
40000 1
0.3%
400000 1
0.3%
4000000 3
0.9%
4200000 2
0.6%
430 1
0.3%
45 1
0.3%
450 1
0.3%
450000 1
0.3%
4500000 1
0.3%
5,000,000 1
0.3%
50 9
2.8%
500 7
2.2%
500,000 1
0.3%
50000 2
0.6%
500000 4
1.3%
5000000 5
1.6%
50000000 1
0.3%
50pesewas 1
0.3%
550 2
0.6%
6,500,000 1
0.3%
60 3
0.9%
600 4
1.3%
600 000 1
0.3%
600,000 1
0.3%
6000 1
0.3%
600000 1
0.3%
6000000 4
1.3%
6500 1
0.3%
670,000 1
0.3%
7 2
0.6%
7,000,000 1
0.3%
7,400,000 1
0.3%
7.50 1
0.3%
70 2
0.6%
70,000 1
0.3%
700 1
0.3%
700000 4
1.3%
7000000 2
0.6%
72 1
0.3%
750 2
0.6%
8 2
0.6%
80 5
1.6%
800 4
1.3%
800000 2
0.6%
8000000 1
0.3%
900,000 1
0.3%
900000 1
0.3%
94 1
0.3%
940 1
0.3%
99 1
0.3%
99.50 1
0.3%
CANT REMEMBER THE COST 1
0.3%
cannot determine 1
0.3%
don't know 1
0.3%
family land 1
0.3%
for the family 1
0.3%
i will not know 1
0.3%
rented 1
0.3%
renting 2
0.6%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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