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    Home / Central Data Catalog / IMPACT_EVALUATION / GHA_2008_MGFERE_V01_M / variable [F5]
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
202987
Downloads
13033
  • 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

Items bought with cash received (treatment_a_2)

Data file: GhanaRound3Single_la

Overview

Valid: 511
Invalid: 0
Type: Discrete
Start: 2424
End: 2473
Width: 50
Range: -
Format: character

Questions and instructions

Literal question
What did you buy with the cash that you received? (treatment_a_2)
Categories
Value Category Cases
. 399
78.1%
0 7
1.4%
0il 1
0.2%
10 bags 1
0.2%
1bill of ladys shirt 1
0.2%
2nd Hand Cloths. 1
0.2%
75 1
0.2%
A1 sheet, tools 1
0.2%
BREAD 1
0.2%
DEEP FREEZER 1
0.2%
F I S H 1
0.2%
I did not Receive the GIFT 1
0.2%
Nothing.[I'LL USE IT AFTER DELIVERY ] 1
0.2%
Tables and chairs 1
0.2%
To help pay my sch FEE of 950 Cedis 1
0.2%
a bundle of materials 1
0.2%
alcoholic beverages 1
0.2%
bottles 1
0.2%
bottles for the business and dry gin 1
0.2%
bought ice chess and built a shed 1
0.2%
brassier 1
0.2%
building shop for my buisness. 1
0.2%
business materials 2
0.4%
carrot cabbage 1
0.2%
cigarettes 1
0.2%
coke,fanta and oranges. 1
0.2%
cooking oil 1
0.2%
corn, ingredients.cooking utensils 1
0.2%
deepter metre 1
0.2%
didnit go for the money because l lost my id 1
0.2%
drinks 1
0.2%
dryer 1
0.2%
electricals 1
0.2%
embrodry machine 1
0.2%
equipment 1
0.2%
fabrics 1
0.2%
fire wood. 1
0.2%
gallon of oil, bag of rice and table top fridge. 1
0.2%
groundnut beans 1
0.2%
hair creams,pomades,shampoo etc 1
0.2%
household expenses 1
0.2%
i use it to buy trolley bags 1
0.2%
inventary 1
0.2%
inventories 1
0.2%
inventories and a kiosk 1
0.2%
iron, fan etc 1
0.2%
kente 1
0.2%
knitting thread 1
0.2%
linning 1
0.2%
linning; electric iron; stiff; zips 1
0.2%
maize and food items. 1
0.2%
manicure machine, shampoo, hair cream 1
0.2%
materials 1
0.2%
materials and other designs 1
0.2%
materials for garment 1
0.2%
metals 1
0.2%
millet 1
0.2%
mobile phone 1
0.2%
mobile phone credit 1
0.2%
more wheat 1
0.2%
no Cash received 1
0.2%
no cash received 7
1.4%
nothing 2
0.4%
part for item and part for future use for the bus. 1
0.2%
pay debt 1
0.2%
pentium 4 computer set 1
0.2%
phone housing and accessories 1
0.2%
picture frame 1
0.2%
plantain. 1
0.2%
provisions 2
0.4%
provisions, fish charcoal 1
0.2%
provisons 1
0.2%
pure water 1
0.2%
raw materials 2
0.4%
rawmaterial [onions] 1
0.2%
received no cash 1
0.2%
received no gift 1
0.2%
registered the shop with gift gh150 1
0.2%
rice,oil,fish,flour 1
0.2%
rice;oil soap 1
0.2%
second hand clothes 1
0.2%
sewing machine 2
0.4%
shampool,spring 1
0.2%
shope 1
0.2%
suger milk pot 1
0.2%
t-shirts 1
0.2%
take away packs 1
0.2%
tin tomatoes 1
0.2%
to register the company 1
0.2%
tools 1
0.2%
tools [srew driver,plier,hammer,chisel etc 1
0.2%
toyota goods. 1
0.2%
used part of the money to buy wig 1
0.2%
wigs 1
0.2%
wood nails and tools 1
0.2%
yam 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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