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    Home / Central Data Catalog / NGA_2016-2019_GEMIE-IO_V01_M / variable [F16]
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
77649
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

6. Why was the worker fired? (give the main reason) (GR6)

Data file: CleanedFU2.dta

Overview

Valid: 10
Invalid: 743
Minimum: 1
Maximum: 8
Type: Discrete
Decimal: 2
Start: 7417
End: 7420
Width: 4
Range: 1 - 8
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 They did not increase profits enough to justify the wages I was paying them 6
60%
2 They did not get along well with other workers in the firm 0
0%
3 I realized that I prefer to do the tasks they were doing myself 0
0%
4 I found another worker who could do the job better or more cheaply 1
10%
5 the worker was unreliable 2
20%
6 the worker got sick or had an accident 0
0%
7 they completed all the tasks I had for them and I had nothing left for them to do 0
0%
8 other (specify)_____________ 1
10%
Sysmiss 743
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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