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    Home / Central Data Catalog / DIME / KEN_2013-2014_MFNIE_V01_M / variable [F7]
dime

Estimating the Impacts of Microfranchising on Young Women in Nairobi 2013-2015, Baseline, Midline and Endline Surveys

Kenya, 2013 - 2015
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Reference ID
KEN_2013-2014_MFNIE_v01_M
DOI
https://doi.org/10.48529/mccx-9c96
Producer(s)
Pamela Jakiela, Owen Ozier
Collection(s)
Development Impact Evaluation (DIME) Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Dec 14, 2018
Last modified
Apr 22, 2019
Page views
97209
Downloads
2535
  • Study Description
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  • Data files
  • gem_baseline_nopii_nov2018release
  • gem_midline_nopii_nov2018release
  • gem_endline_nopii_nov2018release

Additional Item 1: In the past 7 days, what else did you spend money on for pers (e_q534a)

Data file: gem_endline_nopii_nov2018release

Overview

Valid: 116
Invalid: 0
Type: Discrete
Start: 2913
End: 2982
Width: 70
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Alinunua weave 1
0.9%
Blow dry 1
0.9%
Blow dry her hair 1
0.9%
Blowdry, Saloon 1
0.9%
Bought a decoder 1
0.9%
Bought a towel for herself 1
0.9%
Bought books. 1
0.9%
Bought cell phone 1
0.9%
Bought flour for my kid. 1
0.9%
Bought fruit(Orange) and spent money on food in own house. 1
0.9%
Bought maize meal 1
0.9%
Bought medicine 1
0.9%
Bought milk and bread for break fast 1
0.9%
Bought my 2 young brothers shoes 1
0.9%
Bought pampers for her child 1
0.9%
Burial contribution 1
0.9%
Buy clothes for expected child 1
0.9%
Buy diapers 1
0.9%
Buy drugs 1
0.9%
Buy niece clothes 1
0.9%
Buying food 2
1.7%
Buying milk 1
0.9%
Buying pads 1
0.9%
Candle 1
0.9%
Cantain. 1
0.9%
Chama 1
0.9%
Children's snack 1
0.9%
Childs clothing 1
0.9%
Clothes for her niece 1
0.9%
Contributed for food in the house 1
0.9%
Daipers. 1
0.9%
Do her air 1
0.9%
Educational expenses 1
0.9%
Electricity bill 1
0.9%
Electricity units 1
0.9%
Food 1
0.9%
Food expenses 1
0.9%
Food staff 1
0.9%
Gave mother 1
0.9%
Getting family planning injection. 1
0.9%
Giving my mother money 1
0.9%
Going to the salon to make her hair 1
0.9%
Grandmother sickness 1
0.9%
Hair 1
0.9%
Household items like sugar,tea leaves,cooking oil and maize 1
0.9%
I bought food for my family. 1
0.9%
Make her hair 1
0.9%
Making her hair 2
1.7%
Making her own hair 1
0.9%
Making my hair 3
2.6%
Making my hair in the salon 1
0.9%
Matchbox 1
0.9%
Medical expense 2
1.7%
Merry go round 2
1.7%
Neck chain and belt. 1
0.9%
Pads 1
0.9%
Paid for toilet services 1
0.9%
Paid salon for my kid. 1
0.9%
Pampas 1
0.9%
Pampers 1
0.9%
Pay Market fees 1
0.9%
Paying electricity bill 1
0.9%
Paying for clothes to be ironed 1
0.9%
Paying for toilet use 1
0.9%
Phone charging 1
0.9%
Pocket money for sister at school 1
0.9%
Pocket money to her cousin 1
0.9%
Purchasing medicine fornmy kid. 1
0.9%
Putting braids 1
0.9%
Salon 3
2.6%
Salon expense. 1
0.9%
Salon fee for my hair 1
0.9%
Salon_ making her hair 1
0.9%
Sanitary pads 2
1.7%
Sanitary towel 1
0.9%
Sanitary towels 10
8.6%
Sanitary towels. 1
0.9%
School project 1
0.9%
Send money for my child upkeep 1
0.9%
Sending money to my father 1
0.9%
Sent money to parents at home 1
0.9%
Sent for her parents money 1
0.9%
Sent to mum 1
0.9%
Shoe 1
0.9%
Shopping for household items 1
0.9%
To buy pads. 1
0.9%
To go to the toilet. 1
0.9%
Toilet expenses 1
0.9%
Toilet fee 1
0.9%
Toilet services 1
0.9%
Unborn baby stuff like clothes and laundry items like basin and bucket 1
0.9%
Use for grainding maize 1
0.9%
Went to saloon 1
0.9%
books 1
0.9%
hand bag 1
0.9%
salon 1
0.9%
saloon 1
0.9%
spray 1
0.9%
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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