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    Home / Central Data Catalog / IMPACT_EVALUATION / GHA_2008_MGFERE_V01_M / variable [F10]
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
217924
Downloads
13215
  • 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

Type/Name of new product(s) or service(s) (product_3)

Data file: GhanaRound6Single_la

Overview

Valid: 53
Invalid: 0
Type: Discrete
Start: 976
End: 1023
Width: 48
Range: -
Format: character

Questions and instructions

Question pretext
Have you started manufacturing or selling any new product or offering any new service in the last three months that you didn't previously make or sell? (product_2)
Literal question
What is/are the new product(s) or service(s)? (product_3)
Categories
Value Category Cases
. 10
18.9%
20 1
1.9%
25 1
1.9%
Minerals ,flour,beans, mineral water. 1
1.9%
Shirts 1
1.9%
baking 1
1.9%
banana, eggs, pear, 1
1.9%
barbering 1
1.9%
biscutt 1
1.9%
clothes 1
1.9%
cloths 1
1.9%
cocacola, malta, pure water and bread and eggs. 1
1.9%
contruction 1
1.9%
cooking oil. 1
1.9%
ekoegbeemii 1
1.9%
footwear. 1
1.9%
fried yams. 1
1.9%
furniture 1
1.9%
game center 1
1.9%
groundnut 1
1.9%
jeans 1
1.9%
kelewele. 1
1.9%
laptops 1
1.9%
maize 1
1.9%
mineral 1
1.9%
mobail phone. 1
1.9%
mosquito net , torking, brush 1
1.9%
noodles 1
1.9%
perfumes. 1
1.9%
poriage 1
1.9%
provisions 1
1.9%
pure water 2
3.8%
pure water. 1
1.9%
repair works 1
1.9%
repairs,installs computers 1
1.9%
rice 1
1.9%
sachet water 1
1.9%
sandals 1
1.9%
selling cream 1
1.9%
sells water and minerals 1
1.9%
toffees,gari and sugar 1
1.9%
unit transfer 1
1.9%
units . 1
1.9%
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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