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    Home / Central Data Catalog / NGA_2016-2019_GEMIE-IO_V01_M / variable [F25]
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
80850
Downloads
555
  • 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

(accountingminsales)

Data file: TableA8_1data.dta

Overview

Valid: 102
Invalid: 231
Minimum: 0
Maximum: 100000000
Type: Discrete
Decimal: 0
Start: 5415
End: 5423
Width: 9
Range: 0 - 100000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 7
6.9%
10 1
1%
15 1
1%
20 1
1%
25 1
1%
30 1
1%
5000 1
1%
16000 1
1%
25000 1
1%
35000 1
1%
40000 2
2%
50000 4
3.9%
60000 2
2%
70000 2
2%
80000 3
2.9%
100000 9
8.8%
120000 1
1%
150000 7
6.9%
180000 1
1%
200000 4
3.9%
240000 1
1%
250000 6
5.9%
300000 2
2%
420000 1
1%
500000 10
9.8%
510000 1
1%
600000 2
2%
800000 1
1%
1000000 7
6.9%
1200000 1
1%
1500000 1
1%
2000000 7
6.9%
4000000 1
1%
5000000 3
2.9%
6000000 1
1%
8000000 1
1%
10000000 2
2%
15000000 1
1%
25000000 1
1%
100000000 1
1%
Sysmiss 231
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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