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    Home / Central Data Catalog / IMPACT_EVALUATION / JOR_2011-2013_SMPAIE_V01_M / variable [F4]
impact_evaluation

Screening and Matching with Psychometric Assessments: Randomized Experiments 2011-2013

Jordan, 2011 - 2013
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Reference ID
JOR_2011-2013_SMPAIE_v01_M
DOI
https://doi.org/10.48529/6aea-ew87
Producer(s)
Matthew Groh, David McKenzie, Nour Shammout, Tara Vishwanath
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 17, 2014
Last modified
Nov 17, 2014
Page views
105526
Downloads
1109905
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • A1_Firm_2011
  • A2_Firm_2011_Booster
  • B_FirmMidline_2012
  • C_FirmJOLTS_2013
  • D_LargeFirmSurvey_2013
  • E_Midline_2012
  • G1_EndlineAndPsychometrics
  • F_Screening_2013
  • G2_MatchResults
  • H_AdminFirm

(a) What is the opening for (e.g. sales, clerk, engineer) (q19a2)

Data file: C_FirmJOLTS_2013

Overview

Valid: 161
Invalid: 0
Type: Discrete
Start: 124
End: 149
Width: 26
Range: -
Format: character

Questions and instructions

Literal question
For each job opening:
What is the opening for (e.g. sales, clerk, engineer)
Categories
Value Category Cases
HR 1
0.6%
TV 1
0.6%
accountant 7
4.3%
architecture 1
0.6%
auditor 1
0.6%
builder 5
3.1%
chemical engineer 1
0.6%
cleaning staff 2
1.2%
customer care 2
1.2%
customer service 1
0.6%
data analysis 1
0.6%
data entry 1
0.6%
driver 3
1.9%
dustman 1
0.6%
engineer 1
0.6%
graphic designer 4
2.5%
hotel operation 1
0.6%
interor design 1
0.6%
journalist 1
0.6%
kitchen worker 1
0.6%
lab technician 1
0.6%
labor 20
12.4%
machine worker 1
0.6%
makreting manager 1
0.6%
manager 4
2.5%
marketing 6
3.7%
mechanical engineer 1
0.6%
med 1
0.6%
metal engineer 1
0.6%
nurse 2
1.2%
officeboy 1
0.6%
outdoor sales 1
0.6%
painter 1
0.6%
pharmacist 1
0.6%
physiotherapy 2
1.2%
production technician 1
0.6%
production worker 5
3.1%
purchasing officer 1
0.6%
quality assurance 1
0.6%
reception 1
0.6%
sales 16
9.9%
secretary 2
1.2%
security 1
0.6%
senior accountant 1
0.6%
software developer 6
3.7%
supervisor 1
0.6%
tailor 2
1.2%
tailors 1
0.6%
teacher 2
1.2%
technical support 2
1.2%
technican 2
1.2%
technician 26
16.1%
telecom engineer 1
0.6%
telecommunication engineer 1
0.6%
telemarketing 1
0.6%
trader 1
0.6%
waiter 1
0.6%
worker 4
2.5%
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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