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    Home / Central Data Catalog / IMPACT_EVALUATION / KEN_2004_GEHDS_V01_M_V01_A_RUF / variable [V1264]
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
459871
Downloads
3464
  • 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

Item code (item)

Data file: othexp

Overview

Valid: 11877
Invalid: 0
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 31
Format: Numeric

Questions and instructions

Question pretext
I would like to ask you about non-food items you (and only you) may have purchased for you or anyone in your household in the past four weeks. Don't include items that were purchased for school.
Literal question
Item name
Categories
Value Category Cases
1 Adult clothing 923
7.8%
2 Clothing for children under 12 (exclude school clothing) 796
6.7%
3 Fabric or Cloth & Tailored clothes 122
1%
4 Other clothing 162
1.4%
5 Footwear (not for school) 786
6.6%
6 Jewelry, watches, bracelets 40
0.3%
7 Toys 71
0.6%
8 Haircuts, hair dressing 727
6.1%
9 Umbrellas, handbags, wallets 129
1.1%
10 Food outside the home (at restaurants, bars, bought on street) 568
4.8%
11 Beverages outside home 355
3%
12 Tobacco, cigarettes 115
1%
13 Toilet soap, washing 1154
9.7%
14 powder, toothpaste, etc. 855
7.2%
15 Transportation 201
1.7%
16 Bedding 188
1.6%
17 Newspapers, books (not for school) 247
2.1%
18 Kitchen utensils, pots & pans 315
2.7%
19 Charcoal 1137
9.6%
20 Kerosene 34
0.3%
21 Gas 50
0.4%
22 Other fuel (specify) 2
0%
23 Weddings/engagements (excluding gifts) 713
6%
24 Funerals 356
3%
25 Naming ceremonies 22
0.2%
26 Circumcision ceremonies 150
1.3%
27 Other ceremonies (excluding gifts) 46
0.4%
28 Harambee (non-school) 304
2.6%
29 Church contributions 1037
8.7%
30 Vacations/Holidays 242
2%
31 Birthdays 30
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.

Description

Source of information
Primary male and female respondent

Imputation and derivation

Derivation
Item code is created from an item list in the questionnaire.
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