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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
78245
Downloads
519
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • 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

1. Tools and utensils (G15_b_1)

Data file: CleanedFU1.dta

Overview

Valid: 626
Invalid: 127
Minimum: 0
Maximum: 5000000
Type: Discrete
Decimal: 2
Start: 7198
End: 7207
Width: 10
Range: 0 - 5000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 571
91.2%
2500 1
0.2%
4200 1
0.2%
5000 3
0.5%
7000 1
0.2%
10000 3
0.5%
12000 1
0.2%
15000 1
0.2%
17000 1
0.2%
20000 2
0.3%
24400 1
0.2%
30000 3
0.5%
40000 2
0.3%
42500 1
0.2%
45000 1
0.2%
50000 7
1.1%
60000 1
0.2%
70000 1
0.2%
80000 1
0.2%
83333 1
0.2%
90000 1
0.2%
100000 1
0.2%
120000 1
0.2%
150000 5
0.8%
200000 3
0.5%
300000 1
0.2%
370000 1
0.2%
450000 1
0.2%
500000 2
0.3%
1000000 1
0.2%
1200000 1
0.2%
1500000 1
0.2%
2000000 1
0.2%
3750000 1
0.2%
5000000 1
0.2%
Sysmiss 127
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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