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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
297308
Downloads
13886
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Related datasets
  • 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

Units sold in the last month of second most important product or service (income_8g)

Data file: GhanaBaselineSingle_la

Overview

Valid: 659
Invalid: 0
Type: Discrete
Start: 5487
End: 5512
Width: 26
Range: -
Format: character

Questions and instructions

Literal question
SECOND MOST IMPORTANT PRODUCT OR SERVICE: Units sold in the last month: (income_8g)
Categories
Value Category Cases
----- 1
0.2%
0 133
20.2%
0 yards 1
0.2%
0.05 1
0.2%
0.40 1
0.2%
0.9 1
0.2%
00 2
0.3%
1 23
3.5%
1.20 1
0.2%
10 20
3%
100 22
3.3%
1000 4
0.6%
108 cups 1
0.2%
1080 1
0.2%
10tins 1
0.2%
110 pounds 1
0.2%
112 1
0.2%
1140 1
0.2%
11520 1
0.2%
12 12
1.8%
120 7
1.1%
1200 1
0.2%
12000 1
0.2%
124 1
0.2%
13 3
0.5%
1320 1
0.2%
140 4
0.6%
144 1
0.2%
15 14
2.1%
15 PACKS 1
0.2%
15 bottles 1
0.2%
15 creates of minerals 1
0.2%
150 6
0.9%
150 transfers were made 1
0.2%
16 1
0.2%
160 2
0.3%
18 2
0.3%
18 bags 1
0.2%
180 1
0.2%
180 pairs 1
0.2%
2 16
2.4%
2 gallons 1
0.2%
2 houses 1
0.2%
2 persons 1
0.2%
2 tubers 1
0.2%
20 34
5.2%
20 pieces 1
0.2%
200 11
1.7%
2000 1
0.2%
210 2
0.3%
22 1
0.2%
224 1
0.2%
24 5
0.8%
24 days 1
0.2%
24 mini bags 1
0.2%
240 3
0.5%
2400 1
0.2%
25 6
0.9%
250 1
0.2%
250 pieces 1
0.2%
2500 1
0.2%
26 1
0.2%
260 1
0.2%
28 1
0.2%
28.5 1
0.2%
2800 1
0.2%
288 1
0.2%
2boxes 1
0.2%
3 13
2%
3 bags of rice 1
0.2%
30 19
2.9%
30 dozens 1
0.2%
30 pieces 1
0.2%
300 3
0.5%
3000 1
0.2%
35 2
0.3%
350 3
0.5%
350 skirts 1
0.2%
36 1
0.2%
360 2
0.3%
390 1
0.2%
4 18
2.7%
4 BAGS OF 30 YAMS IN A BAG 1
0.2%
4 BOXES 1
0.2%
4 BUCKETS 1
0.2%
4 baskets 1
0.2%
40 18
2.7%
40 bags 1
0.2%
40 creats of beer 1
0.2%
400 9
1.4%
400 pieces 1
0.2%
40cups 1
0.2%
44 creates 1
0.2%
45 4
0.6%
450 2
0.3%
47 1
0.2%
48 3
0.5%
480 1
0.2%
5 18
2.7%
5 perswers 1
0.2%
50 19
2.9%
500 5
0.8%
500 pieces 1
0.2%
516 1
0.2%
540 1
0.2%
55 2
0.3%
6 18
2.7%
6 cars 1
0.2%
6 houses 1
0.2%
60 13
2%
60 packs 1
0.2%
600 1
0.2%
64 2
0.3%
65 1
0.2%
650 1
0.2%
672 1
0.2%
7 9
1.4%
70 5
0.8%
720 5
0.8%
74 1
0.2%
760 1
0.2%
78 1
0.2%
8 13
2%
80 5
0.8%
80.50 1
0.2%
800 2
0.3%
84 2
0.3%
85 1
0.2%
9 2
0.3%
9 farms 1
0.2%
90 2
0.3%
900 2
0.3%
96 3
0.5%
99 1
0.2%
999 1
0.2%
NONE 7
1.1%
No product 1
0.2%
THERE IS NONE 1
0.2%
d 1
0.2%
dont know 1
0.2%
many 1
0.2%
no 1
0.2%
none 5
0.8%
nothing 1
0.2%
she sells only one product 1
0.2%
soft drinks 1
0.2%
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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