Research data

Systematic review on family demographic processes and in-work poverty

Polizzi, Antonino; Struffolino, Emanuela; van Winkle, Zachary

WZB - Berlin Social Science Center. Data File Version 2.0.0, https://doi.org/10.7802/2366

Abstract: This archive includes all data compiled in the course of a systematic review on the association between family demographic processes and in-work poverty that represents the empirical material used in the following paper: Polizzi, Antonino; Struffolino, Emanuela; van Winkle, Zachary (2022): Family demographic processes and in-work poverty: A systematic review. In: Advances in Life Course Research 52, Article 100462. DOI: https://doi.org/10.1016/j.alcr.2022.100462 This article reviews ever published quantitative evidence on in-work poverty and family demographic processes in OECD and EU-28 co ... more

Availability: Free access (without registration)

Embargo until: 2022-03-04

Subject area: [Social Sciences [=] Sociology [=] Employment Research]

Methodology

Date(s) of Data Collection: 2019-07; 2019-11

Mode of Data Collection: Compilation/Synthesis

Bibliographic information

Primärforschende, Institution: Polizzi, Antonino; Leverhulme Centre for Demographic Science, Nuffield College, University of Oxford | Struffolino, Emanuela; University of Milan, Humboldt-Universität zu Berlin | van Winkle, Zachary; Science Po, CNRS, Nuffield College, University of Oxford

Publication year: 2022

DOI: 10.7802/2366

Study number: SDN-10.7802-2366

Publisher: WZB - Berlin Social Science Center

Versions

Current Version: 2.0.0, https://doi.org/10.7802/2366

Version history: ... more

Reference publications

Publications: Polizzi, Antonino; Struffolino, Emanuela; van Winkle, Zachary (2022): Family demographic processes and in-work poverty: A systematic review. In: Advances in Life Course Research 52, Article 100462. DOI: https://doi.org/10.1016/j.alcr.2022.100462

Systematic review on family demographic processes and in-work poverty

Methodology

Bibliographic information

Versions

Reference publications

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MD5:	b74ed9842ba1eaa67d832ddd1f489d74
Type of file:	Research Data
File size:	60.99 KB
Version number:	2.0.0
Version date:	2022-02-23
Language:	English / en
Number of variables:	71
Number of units:	84
Software and Version	Microsoft Excel 2019
Additional information about the file	This file is licensed under the Creative Commons Attribution International License (CC BY 4.0: https://creativecommons.org/licenses/by/4.0/).

MD5:	3cdf50da70282483e336164f5cf7ef31
Type of file:	Research Data
File size:	38.83 KB
Version number:	2.0.0
Version date:	2022-02-23
Language:	English / en
Software and Version	Microsoft Excel 2019
Additional information about the file	This file is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives International License (CC BY-NC-ND 4.0: https://creativecommons.org/licenses/by-nc-nd/4.0/).

MD5:	b5e94f79fa363fbfcd8bb4684d7c4804
Type of file:	Research Data
File size:	11.59 KB
Version number:	2.0.0
Version date:	2022-02-23
Language:	English / en
Software and Version	Microsoft Excel 2019
Additional information about the file	This file is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives International License (CC BY-NC-ND 4.0: https://creativecommons.org/licenses/by-nc-nd/4.0/).

MD5:	4707bbc501861376275d79a782137b8e
Type of file:	Research Data
File size:	11.74 KB
Version number:	2.0.0
Version date:	2022-02-23
Language:	English / en
Software and Version	Microsoft Excel 2019
Additional information about the file	This file is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives International License (CC BY-NC-ND 4.0: https://creativecommons.org/licenses/by-nc-nd/4.0/).