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    Home / Central Data Catalog / IMPACT_EVALUATION / KEN_2004_GEHDS_V01_M_V01_A_RUF / variable [V1177]
impact_evaluation

Greater Eldoret Health and Development Survey (Round 1) 2004 - Research Use Files

Kenya, 2004
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Reference ID
KEN_2004_GEHDS_v01_M_v01_A_RUF
DOI
https://doi.org/10.48529/6x0c-5y08
Producer(s)
Markus Goldstein and Harsha Thirumurthy
Collection(s)
Impact Evaluation Surveys
Metadata
DDI/XML JSON
Created on
Jul 22, 2011
Last modified
Jul 07, 2016
Page views
453040
Downloads
3452
  • Study Description
  • Data Description
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  • Data files
  • aghead_a
  • aghead_b
  • aghead_c
  • aghead_d
  • aghead_e
  • aghead_e1_2
  • agspouse_a
  • agspouse_b
  • agspouse_c
  • agspouse_c_2
  • anthrop_a
  • anthrop_b
  • anthrop_c
  • assets
  • assets_I8
  • assets_I12
  • assets_I17
  • assets_II
  • assets_II5
  • assets_II11
  • assets_III
  • assets_III7
  • assets_III13
  • assets_IV
  • assets_V
  • assets_V6
  • assets_V12
  • assets_VI
  • behavior
  • behavior_c5
  • education
  • educexp
  • enterprise
  • food
  • health
  • health_c
  • health_c_I
  • health_c_II
  • health_c_III
  • health_c_IV
  • hh_roster
  • identification
  • income
  • iroster
  • othexp
  • polygamoushh
  • shocks
  • shocks_a3
  • shocks_a7
  • shocks_a11
  • shocks_a15
  • shocks_a19
  • shocks_a24
  • shocks_a27
  • shocks_b30
  • shocks_b33
  • shocks_b36
  • shocks_b40
  • shocks_c44
  • shocks_c49
  • shocks_c53
  • timealloc
  • transfers
  • transfers_a3
  • transfers_a9
  • transfers_a16
  • transfers_b3
  • transfers_d
  • youth

What type of business - Code (seb02b)

Data file: income

Overview

Valid: 352
Invalid: 3455
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 99
Format: Numeric

Questions and instructions

Literal question
What type of business or self-employment did [NAME] work at in the past 7 days? What kind of trade, industry or business is it connected with? Occupation Code.
Categories
Value Category Cases
1 Crop farmer 0
0%
2 Animal farmer 0
0%
3 Housewife 0
0%
4 Trader/merchant/salesperson 275
78.1%
5 Transport worker 10
2.8%
6 Construction worker 0
0%
7 Teacher/education professional 0
0%
8 Health professional/TBA/trad. Healer 1
0.3%
9 Secretary/clerical 0
0%
10 Factory worker 0
0%
11 Restaurant/bar/hotel 12
3.4%
12 Skilled trades (carpenter, tailor, etc.) 27
7.7%
13 Preacher/pastor 0
0%
14 Village elder 1
0.3%
15 Domestic worker 0
0%
16 Civil Servant/Government 0
0%
17 Other (specify) 26
7.4%
88 No activity/unemployed 0
0%
99 Don’t Know 0
0%
Sysmiss 3455
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
As discussed earlier, please write an exact description of the respondent's job. Then select the occupation code that is closest to that job. Do not copy the name of the code in the description column.
Question post text
If more than 1, begin with the one in which the most time is spent.

Description

Universe
All household members 8 years and older who did non-farm work in a business belonging to the household in the past 7 days.
Source of information
Primary male respondent
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