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

Kenya, 2013 - 2015

Get Microdata

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

32980

Downloads

1278

7PM-8PM (e_q210zc)

Data file: gem_endline_nopii_nov2018release

Overview

Valid: 1192

Invalid: 0

Minimum: 1

Maximum: 13

Type: Discrete

Decimal: 0

Start: 2229

End: 2230

Width: 2

Range: 1 - 13

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Education/school/training	10	0.8%
2	Personal Care (bathing, dressing, eating)	239	20.1%
3	Unpaid work at home (e.g. cooking, cleaning, or washing clothes)	474	39.8%
4	Unpaid work outside the home (e.g. going to the market or fetching water)	39	3.3%
5	Unpaid work in family business or on family farm	15	1.3%
6	Paid work (wage work or work for others)	72	6%
7	In own business	24	2%
8	Social leisure time (chatting or watching TV with friends, family gatherings, gr	167	14%
9	Non-social leisure time (reading or watching TV by yourself)	28	2.3%
10	Church/Mosque	7	0.6%
11	Rest and Sleep	68	5.7%
12	Assisted a child/dependent or sibling with homework, to/from school, or with som	30	2.5%
13	Other (specify)	19	1.6%

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.

Back to Catalog