Home / Central Data Catalog / IMPACT_EVALUATION / GHA_2008_MGFERE_V01_M / variable [F8]
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
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309705
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Unit of most important product or service (income_7b_1)

Data file: GhanaRound5Single_la

Overview

Valid: 754
Invalid: 0
Type: Discrete
Start: 816
End: 858
Width: 43
Range: -
Format: character

Questions and instructions

Literal question
MOST IMPORTANT PRODUCT OR SERVICE Unit: (income_7b_1)
Categories
Value Category Cases
. 5
0.7%
0 1
0.1%
0.50 1
0.1%
1 7
0.9%
1 cream 2
0.3%
1 attire 1
0.1%
1 bread 2
0.3%
1 bulbs 2
0.3%
1 chair 2
0.3%
1 contract 1
0.1%
1 cup 1
0.1%
1 design on attire 2
0.3%
1 dozen 2
0.3%
1 glass 1
0.1%
1 grown pig 2
0.3%
1 hair 2
0.3%
1 hair wash 2
0.3%
1 house 2
0.3%
1 kaba and slit 2
0.3%
1 kenkey and fish 2
0.3%
1 labtop 2
0.3%
1 mobile phone 2
0.3%
1 omo 2
0.3%
1 plaited hair 2
0.3%
1 plantain chips 2
0.3%
1 plate 8
1.1%
1 pound 2
0.3%
1 shirt 2
0.3%
1 sultana bag rice 2
0.3%
1 washing 1
0.1%
1 yard 2
0.3%
10 4
0.5%
100 1
0.1%
100 pieces of oranges 1
0.1%
11 1
0.1%
12 2
0.3%
120 1
0.1%
14.5 1
0.1%
15 6
0.8%
150 2
0.3%
18 2
0.3%
19 1
0.1%
1pampers 2
0.3%
2 6
0.8%
2 bags 2
0.3%
2 stick of plantain 1
0.1%
20 5
0.7%
230 1
0.1%
25 4
0.5%
26 2
0.3%
27 1
0.1%
28 1
0.1%
3 6
0.8%
3.5 1
0.1%
30 1
0.1%
35 1
0.1%
4 2
0.3%
40 5
0.7%
42 1
0.1%
45 2
0.3%
490 1
0.1%
5 4
0.5%
50 1
0.1%
6 1
0.1%
6 yards 1
0.1%
60 4
0.5%
7 1
0.1%
9 2
0.3%
Bags 1
0.1%
Bowl 1
0.1%
Cassaava in bags 1
0.1%
Gallon 1
0.1%
Ibs 1
0.1%
a bag 7
0.9%
a bag of orange 1
0.1%
a bag of rice 1
0.1%
a bottle 4
0.5%
a bowl 2
0.3%
a bowl of kenkey 1
0.1%
a bowl of rice 1
0.1%
a crate 1
0.1%
a house 1
0.1%
a pack 1
0.1%
a pair of shoe 1
0.1%
a pair of shoes 1
0.1%
a pair of slippers 1
0.1%
a room or house 1
0.1%
a watch 1
0.1%
alcoholic drink 1
0.1%
art 1
0.1%
attire 1
0.1%
bag 13
1.7%
bag of sachet water 1
0.1%
bags 6
0.8%
bail 1
0.1%
ball of kenkey 1
0.1%
balls 8
1.1%
balls of kenkey 1
0.1%
banku with peper and fish 1
0.1%
bar/carton 1
0.1%
bed 1
0.1%
biscuits 1
0.1%
blastering 1
0.1%
blocks 1
0.1%
bottle 8
1.1%
bottle per malta in create 1
0.1%
bowl 3
0.4%
bowls 1
0.1%
box 5
0.7%
bread 1
0.1%
bucket 1
0.1%
bulk 2
0.3%
bundle 1
0.1%
bundles 2
0.3%
by cloth 1
0.1%
by hair 1
0.1%
by kaba and slit 1
0.1%
by one 1
0.1%
by pair 1
0.1%
by shirt 2
0.3%
by table 2
0.3%
by wire 1
0.1%
calabash 1
0.1%
can 1
0.1%
card 2
0.3%
carton 4
0.5%
cartons 1
0.1%
case 1
0.1%
cateen 1
0.1%
ceiling per single room 1
0.1%
charcoal 1
0.1%
charcoal per bag 1
0.1%
charging battery 1
0.1%
club beer 1
0.1%
construction of desks 2
0.3%
container 1
0.1%
cooked peeled corn and groundnut 2
0.3%
cornmiling 1
0.1%
cow 1
0.1%
crate 6
0.8%
cream craker per box 1
0.1%
cream per tin 1
0.1%
creat 1
0.1%
create 8
1.1%
create per 1
0.1%
create per guniness 1
0.1%
creats 1
0.1%
credit 1
0.1%
credit transfer 1
0.1%
cup 5
0.7%
cup of tea and sandwich 2
0.3%
cups 2
0.3%
daily sales 1
0.1%
design cloths 1
0.1%
designs 1
0.1%
detergents 1
0.1%
dozen 2
0.3%
dress 2
0.3%
drinks 2
0.3%
eggs 1
0.1%
extension boards 1
0.1%
fault 3
0.4%
fish per box 1
0.1%
five pieces for unit 1
0.1%
forty crates 1
0.1%
frames 1
0.1%
fridge 1
0.1%
fried egg 1
0.1%
fried fish 1
0.1%
fried plantain chips 2
0.3%
fried yams and fish 1
0.1%
full pan of porridge 2
0.3%
gallon 1
0.1%
gari and beans with fried plantain 1
0.1%
gari n beans 1
0.1%
gari per bag 1
0.1%
garments. 1
0.1%
general repairs 1
0.1%
grinding of 1ngredients 1
0.1%
hair dressing 2
0.3%
hair washing 1
0.1%
hairdressing 1
0.1%
hard liquour 1
0.1%
heap 4
0.5%
house building 2
0.3%
ice block 1
0.1%
ice kenkey per sachet 1
0.1%
indomie noodles 1
0.1%
inserticide per litre 1
0.1%
kaba 1
0.1%
kaba and slit 3
0.4%
kaba n slit 2
0.3%
kilogram 1
0.1%
kpanla 1
0.1%
kunu masara 1
0.1%
ladies trousers 1
0.1%
loaf 1
0.1%
maize per bag 4
0.5%
millet per bag 1
0.1%
mini bag 1
0.1%
nails ,padlock metal cutter ,mettalic goods 1
0.1%
number 7
0.9%
numbers 3
0.4%
oil per gallon 1
0.1%
olonka 2
0.3%
one 19
2.5%
one one 1
0.1%
one bag 1
0.1%
one bag of wheat 1
0.1%
one house or one shore 1
0.1%
one kilogram 1
0.1%
one loaf of bread 1
0.1%
one one 4
0.5%
one pair 1
0.1%
one tin 1
0.1%
orange 1
0.1%
oranges 1
0.1%
pack 5
0.7%
pack of sachet water 1
0.1%
packs 1
0.1%
pair 10
1.3%
pair of ear rings 1
0.1%
pair of slippers 1
0.1%
pair one 1
0.1%
pair phone 1
0.1%
pan 1
0.1%
pastrie per pack 1
0.1%
per 1
0.1%
per 4 litre in a box. 1
0.1%
per a day 2
0.3%
per a dress 1
0.1%
per a head 1
0.1%
per bag 1
0.1%
per bag of millet 1
0.1%
per bag. 2
0.3%
per ball 1
0.1%
per baskert. 1
0.1%
per bottle 1
0.1%
per box. 1
0.1%
per building 1
0.1%
per bundle 1
0.1%
per canopies 1
0.1%
per car 1
0.1%
per card 1
0.1%
per cards. 1
0.1%
per cartoon 1
0.1%
per cow 1
0.1%
per creams. 1
0.1%
per creat. 1
0.1%
per creats. 1
0.1%
per design 1
0.1%
per dress 1
0.1%
per engine machine 1
0.1%
per gallon 2
0.3%
per grils wear. 1
0.1%
per hair. 1
0.1%
per head 2
0.3%
per ice cream. 1
0.1%
per kaba 1
0.1%
per kaba and slit. 1
0.1%
per ladies wear 1
0.1%
per machine 1
0.1%
per maske 1
0.1%
per paint robber. 1
0.1%
per plantain 1
0.1%
per plate 1
0.1%
per rice bag. 1
0.1%
per room 2
0.3%
per sack. 4
0.5%
per sacks. 1
0.1%
per shirt 1
0.1%
per speaker 1
0.1%
per sugarcane. 1
0.1%
per table. 1
0.1%
per tin. 1
0.1%
per top and skirt. 1
0.1%
per trouser 1
0.1%
per yam. 1
0.1%
per yard 1
0.1%
persons 1
0.1%
phone housing 1
0.1%
picture frame 1
0.1%
pie 1
0.1%
piece 1
0.1%
pieces 3
0.4%
pipe 1
0.1%
plastering 1
0.1%
plate 7
0.9%
pocket 1
0.1%
polo 1
0.1%
pot 9
1.2%
pressing board 1
0.1%
program 1
0.1%
pure water 2
0.3%
purified water 1
0.1%
repair service 1
0.1%
retauching per hair 1
0.1%
retouch and setting of hair 2
0.3%
rice 3
0.4%
rice and beans 1
0.1%
rice per bag 1
0.1%
rice per mini bag 1
0.1%
roofing 4
0.5%
roofing of single room. 1
0.1%
roofing sheet 1
0.1%
sachet 5
0.7%
sachet per pack 1
0.1%
sachets 2
0.3%
sack 1
0.1%
satchet 2
0.3%
scotch light. 1
0.1%
second hand clothing. 1
0.1%
service 5
0.7%
services 1
0.1%
services on building 1
0.1%
set 4
0.5%
set of chair 1
0.1%
set of seven pieces 1
0.1%
seven thousands pieces 1
0.1%
sew children,s dress 2
0.3%
shirt 8
1.1%
shirt[one bale] 1
0.1%
shirts 2
0.3%
shoe repairing 1
0.1%
silt and keba 1
0.1%
single 39
5.2%
single bed 1
0.1%
single cars 1
0.1%
single eggs 1
0.1%
single persons 1
0.1%
single roof 1
0.1%
single room painting 1
0.1%
single window 1
0.1%
singles 42
5.6%
skirt and top 1
0.1%
skirt n blouse 2
0.3%
slice 1
0.1%
slit & kaba 1
0.1%
slit and kaba 1
0.1%
snap cards 1
0.1%
soap 1
0.1%
soap per box 1
0.1%
socket fixing per room 1
0.1%
socks 1
0.1%
styling hair 1
0.1%
ten cars 1
0.1%
ten piece 1
0.1%
thousand pieces 1
0.1%
three pairs 1
0.1%
tiling tiles 1
0.1%
tillapia 1
0.1%
tin 12
1.6%
tins 1
0.1%
top 1
0.1%
top and down 2
0.3%
tort 1
0.1%
tot 3
0.4%
touch up of hair 2
0.3%
tube 1
0.1%
turkey tail n gizzard 1
0.1%
tv 1
0.1%
two bags maize 1
0.1%
type of body works. 1
0.1%
unit 1
0.1%
unit card 1
0.1%
up and down 2
0.3%
various 5
0.7%
waakye 2
0.3%
wardrope 1
0.1%
washing 2
0.3%
washing n setting 1
0.1%
washing n styling 2
0.3%
weaving per hair 1
0.1%
wege 1
0.1%
yam 2
0.3%
yard 2
0.3%
yards 2
0.3%
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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