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    Home / Central Data Catalog / NGA_2016-2019_GEMIE-IO_V01_M / variable [F15]
central

Growth & Employment Program - Insourcing and Outsourcing Impact Evaluation Data 2016-2019

Nigeria, 2016 - 2019
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Reference ID
NGA_2016-2019_GEMIE-IO_v01_M
Producer(s)
David McKenzie, Stephen Anderson
Metadata
DDI/XML JSON
Created on
Oct 14, 2021
Last modified
Oct 14, 2021
Page views
78113
Downloads
519
  • Study Description
  • Data Dictionary
  • Downloads
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  • Data files
  • publicuseround1.dta
  • publicuseround2.dta
  • trainerhumancapital.dta
  • consultanthumancapital.dta
  • gemprovidersurveys.dta
  • informationbaseline.dta
  • FullApplicationSample.dta
  • takeupusage.dta
  • trainingusage.dta
  • bdsactivities.dta
  • iomonitoringdata.dta
  • iotasks.dta
  • SocialMediaRatings.dta
  • typeofio.dta
  • CleanedFU1.dta
  • CleanedFU2.dta
  • SocialMediaScores.dta
  • ConsultantsHumanCapital.dta
  • IOHumanCapital.dta
  • TrainersHumanCapital.dta
  • Figure1data.dta
  • Figure2data.dta
  • TableA2_1data.dta
  • TableA2_2data.dta
  • TableA8_1data.dta
  • Tablep4.dta
  • Tablep5.dta
  • Tablep6.dta
  • Tablep7.dta
  • Tablep9.dta
  • Nigeriamainpvals.dta
  • Nigeriamechpvals.dta
  • adjustedmainqvals.dta
  • adjustedmechqvals.dta

13. How many hours per week does your spouse typically work in your business? E (E13)

Data file: CleanedFU1.dta

Overview

Valid: 501
Invalid: 252
Minimum: 0
Maximum: 40000
Type: Discrete
Decimal: 2
Start: 6741
End: 6748
Width: 8
Range: 0 - 40000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 271
54.1%
1 7
1.4%
2 19
3.8%
3 14
2.8%
4 10
2%
5 13
2.6%
6 11
2.2%
7 4
0.8%
8 15
3%
10 23
4.6%
11 1
0.2%
12 10
2%
14 2
0.4%
15 9
1.8%
17 1
0.2%
18 1
0.2%
20 12
2.4%
21 3
0.6%
22 1
0.2%
24 5
1%
25 2
0.4%
28 1
0.2%
30 16
3.2%
35 3
0.6%
36 4
0.8%
40 9
1.8%
45 3
0.6%
48 8
1.6%
50 3
0.6%
54 2
0.4%
56 2
0.4%
60 3
0.6%
63 2
0.4%
65 1
0.2%
70 3
0.6%
80 1
0.2%
100 2
0.4%
112 1
0.2%
10000 1
0.2%
18000 1
0.2%
40000 1
0.2%
Sysmiss 252
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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