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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
105456
Downloads
1109900
  • 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) (q19a1)

Data file: C_FirmJOLTS_2013

Overview

Valid: 420
Invalid: 0
Type: Discrete
Start: 81
End: 106
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
IT developer 1
0.2%
Operations manager 1
0.2%
TV 1
0.2%
TV presenter 1
0.2%
accountant 22
5.2%
accountants 2
0.5%
administrative assistant 1
0.2%
agricultural worker 1
0.2%
analyst 1
0.2%
audit 2
0.5%
auditor 1
0.2%
biomedical engineer 1
0.2%
blacksmith 2
0.5%
builder 9
2.1%
business management 1
0.2%
cargo 1
0.2%
cashier 4
1%
chemical engineer 3
0.7%
cleaning staff 3
0.7%
cook 2
0.5%
counter staff 1
0.2%
customer care 6
1.4%
customer service 2
0.5%
data analysis 1
0.2%
designer 3
0.7%
developer 7
1.7%
driver 6
1.4%
editor 2
0.5%
electromechanical engineer 1
0.2%
engineer 1
0.2%
factory worker 7
1.7%
financial manager 1
0.2%
flowers coordinator 1
0.2%
geological engineer 1
0.2%
graphic design 2
0.5%
graphic designer 1
0.2%
indoor marketing 1
0.2%
indoor sales 2
0.5%
inventory 1
0.2%
jeweler 1
0.2%
jewelry formulation 1
0.2%
journalist 3
0.7%
lab technician 1
0.2%
labor 77
18.3%
lawyer 3
0.7%
mainteance worker 1
0.2%
marketing 8
1.9%
meat butcher 1
0.2%
mechanic engineer 1
0.2%
metalwork's man 1
0.2%
network engineer 1
0.2%
nurse 1
0.2%
nursing 1
0.2%
office worker 1
0.2%
officer 1
0.2%
painter 1
0.2%
pharmacist 1
0.2%
pharmacy senior 1
0.2%
physiotherapy 2
0.5%
plastic technician 2
0.5%
prodcution engineer 1
0.2%
production worker 11
2.6%
programmer 6
1.4%
project manager 2
0.5%
quality assurance 1
0.2%
quality manager 1
0.2%
reception 7
1.7%
receptionist 1
0.2%
retail 3
0.7%
sales 54
12.9%
sales and marketing 1
0.2%
sales represintative 2
0.5%
secretary 13
3.1%
security 1
0.2%
shoe tailor 1
0.2%
software developer 6
1.4%
supervisor 2
0.5%
tailor 15
3.6%
tailors 2
0.5%
teacher 17
4%
technical support 6
1.4%
technican 6
1.4%
technician 26
6.2%
telecommunication engineer 1
0.2%
teller 3
0.7%
waiter 2
0.5%
warehouse officer 1
0.2%
worker 10
2.4%
workers 1
0.2%
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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