Social Networks, Gender, and Graduate Hiring in a Rentier State: Disentangling Referral Types and Ascriptive Signals in Omani Labour Markets (doi:10.7910/DVN/O5XKXR)

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Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
Entire Codebook

Document Description

Citation

Title:

Social Networks, Gender, and Graduate Hiring in a Rentier State: Disentangling Referral Types and Ascriptive Signals in Omani Labour Markets

Identification Number:

doi:10.7910/DVN/O5XKXR

Distributor:

Harvard Dataverse

Date of Distribution:

2026-03-09

Version:

1

Bibliographic Citation:

Al Hatmi, Khalifa, 2026, "Social Networks, Gender, and Graduate Hiring in a Rentier State: Disentangling Referral Types and Ascriptive Signals in Omani Labour Markets", https://doi.org/10.7910/DVN/O5XKXR, Harvard Dataverse, V1

Study Description

Citation

Title:

Social Networks, Gender, and Graduate Hiring in a Rentier State: Disentangling Referral Types and Ascriptive Signals in Omani Labour Markets

Identification Number:

doi:10.7910/DVN/O5XKXR

Authoring Entity:

Al Hatmi, Khalifa (University of Technology and Applied Sciences Al Mussanah, Oman)

Distributor:

Harvard Dataverse

Access Authority:

Al Hatmi, Khalifa

Depositor:

Al Hatmi, Khalifa

Date of Deposit:

2026-03-08

Holdings Information:

https://doi.org/10.7910/DVN/O5XKXR

Study Scope

Keywords:

Social Sciences, factorial survey experiment

Abstract:

This dataset accompanies a factorial survey experiment examining how referral type, applicant gender, and nationality jointly affect graduate hiring decisions among private-sector employers in Oman. Data were collected from 190 Omani private-sector employers, who each evaluated 12 vignettes drawn from orthogonally randomised decks, yielding 2,280 employer–vignette observations. The experimental design manipulates six attributes: referral source (institutional/university, employee, or none), applicant gender, nationality (Omani vs. expatriate), university tier, field of study, and GPA. The dataset includes employer-level survey data, vignette-level outcome ratings, R and Stata analysis scripts, a qualitative codebook, and a README file.

Notes:

Data collected via structured employer survey administered in Oman's private sector from 2019 to 2020

Methodology and Processing

Sources Statement

Data Access

Notes:

<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>

Other Study Description Materials

Other Study-Related Materials

Label:

05_qualitative_codebook-1.R

Text:

05_qualitative_codebook.R

Notes:

text/x-stata-syntax

Other Study-Related Materials

Label:

05_qualitative_codebook-2.R

Text:

05_qualitative_codebook.R

Notes:

type/x-r-syntax

Other Study-Related Materials

Label:

05_qualitative_codebook-3.R

Text:

05_qualitative_codebook.R

Notes:

type/x-r-syntax

Other Study-Related Materials

Label:

05_qualitative_codebook.R

Text:

05_qualitative_codebook.R

Notes:

type/x-r-syntax

Other Study-Related Materials

Label:

05_qualitative_codebook.R.R

Text:

05_qualitative_codebook.R

Notes:

type/x-r-syntax

Other Study-Related Materials

Label:

README.md

Text:

README.md

Notes:

text/markdown