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

39609

Downloads

1420

5AM-6AM (e_q210a)

Data file: gem_endline_nopii_nov2018release

Overview

Valid: 1192

Invalid: 0

Minimum: 1

Maximum: 13

Type: Discrete

Decimal: 0

Start: 1433

End: 1434

Width: 2

Range: 1 - 13

Format: Numeric

Questions and instructions

Question pretext

Now I would like to know how you spent your time on the last weekday -- not Saturday or Sunday. Start with waking up and tell me what you were doing every hour until you went to sleep. So, what were you doing on [LAST WEEKDAY] between [TIME]?

Sasa ningependa kujua vile ulivyotumia muda wako kwa siku iliyopita ya wiki - sio jumamosi au jumapili. Anza na wakati unaamka na unieleze ulichokuwa ukifanya kila lisaa hadi ulipoenda kulala. Kwa hivyo, ulikuwa ukifanya nini siku ya [LAST WEEKDAY] kati ya saa [TIME]?

Categories

Value	Category	Cases
1	Education/school/training	7	0.6%
2	Personal Care (bathing, dressing, eating)	49	4.1%
3	Unpaid work at home (e.g. cooking, cleaning, or washing clothes)	140	11.7%
4	Unpaid work outside the home (e.g. going to the market or fetching water)	14	1.2%
5	Unpaid work in family business or on family farm	8	0.7%
6	Paid work (wage work or work for others)	17	1.4%
7	In own business	3	0.3%
8	Social leisure time (chatting or watching TV with friends, family gatherings, gr	0	0%
9	Non-social leisure time (reading or watching TV by yourself)	1	0.1%
10	Church/Mosque	3	0.3%
11	Rest and Sleep	912	76.5%
12	Assisted a child/dependent or sibling with homework, to/from school, or with som	24	2%
13	Other (specify)	14	1.2%

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.

Interviewer instructions

ENUMERATOR: Indicate one activity per hour. Activities that do not fit into category (e.g. funerals) can be listed on the next page. There should be one activity selected per hour.

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