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Data · dataset · 2022

Replication Data for: Chapter 5 - Different shades of foreigner: A closer examination of Syrian and Palestinian refugees in the Jordanian labour market

Listed in IISH Dataverse and ODISSEI Portal — shown once because both records carry DOI 10.34894/q4meqv

The Middle East is a region that has known a long tradition of refugee flows.

Description

Though practices of refugee reception in the Hashemite Kingdom of Jordan have shifted over time; prior to the implementation of the 2016 Jordan Compact, all refugees are largely governed by the same regulation as applicable to other ‘guests’ as Jordan is neither signatory to the 1951 Refugee Convention nor has any domestic law pertaining to the rights of refugees.

Regardless, de facto many refugees tend to find pathways to the labour market albeit formally or informally. The question remains how effect may differ for different refugee groups as an effect of ‘recent’ displacement may be assumed. This chapter therefore seeks to understand the conditions under which Syrian and Palestinian refugees respectively engage in the labour market from a social exclusion perspective.

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To understand how nationality and camp affect labour market engagement for different groups of refugees, this study employs a Heckman two-stage sample selection model using the 2016 Jordan National Child Labour Survey. Thus, the study not only compares families with similar demographic characteristics – namely, families with at least 1 child between 5 and 17 years old -; it is moreover, set prior to the agreement on the Jordan Compact in 2016 which has led to an increased focus on formalising work of Syrians and easing their access to formal work in specific sectors.

This contains the annotated do-files (the Masterfile provide insight in the sequencing), a read me file with background information on the dataset , the household survey, and an overview of the variables in the dataset. Restrictions: This dataset is owned by the Centre for Strategic Studies (CSS), University of Jordan. As per the contract between CSS and Tamara A. Kool & Zina Nimeh, signed 1 October 2018, the data remains the property of the CSS and ILO Jordan.

Please request the corresponding data from the CSS.

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Topics

Stated by source
Social Sciences · Social Sciences
Inferred from text
Sequencing 75% · Sociology 72%
Provenance · 2 source records, 14 field assertions
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IISH Dataversedoi:10.34894/Q4MEQV11 d agoJSON v1
ODISSEI Portaldoi:10.34894/Q4MEQV7 d agoJSON v1
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