Measuring the effects of welfare time limits

Chan, MK

Measuring the effects of welfare time limits

Chan, MK

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Publication Type:: Journal Article
Citation:: Journal of Human Resources, 2018, 53 (1), pp. 232 - 271
Issue Date:: 2018-12-01

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Field	Value	Language
dc.contributor.author	Chan, MK https://orcid.org/0000-0002-1010-7587	en_US
dc.date.issued	2018-12-01	en_US
dc.identifier.citation	Journal of Human Resources, 2018, 53 (1), pp. 232 - 271	en_US
dc.identifier.issn	0022-166X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/130365
dc.description.abstract	© 2018 by the Board of Regents of the University of Wisconsin System. This paper develops a simple regression model that incorporates the behavioral dynamics of time limits and is estimable by panel data techniques. By relating this model to reduced-form analysis, I clarify an implicit assumption that underlies a popular difference-in-differences (DID) specification, which understates the overall effects of time limits. I also find that a considerable amount of dynamics is due to individuals reducing welfare use, as their stock of remaining welfare eligibility depletes. This generates more plausible predictions related to counterfactuals, cumulative welfare use patterns, and mechanical termination of benefits.	en_US
dc.relation.ispartof	Journal of Human Resources	en_US
dc.relation.isbasedon	10.3368/jhr.53.1.0814-6554R2	en_US
dc.subject.classification	Economics	en_US
dc.title	Measuring the effects of welfare time limits	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	53	en_US
utslib.for	1402 Applied Economics	en_US
utslib.for	1801 Law	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Economics Discipline
utslib.copyright.status	closed_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	53	en_US

Abstract:

© 2018 by the Board of Regents of the University of Wisconsin System. This paper develops a simple regression model that incorporates the behavioral dynamics of time limits and is estimable by panel data techniques. By relating this model to reduced-form analysis, I clarify an implicit assumption that underlies a popular difference-in-differences (DID) specification, which understates the overall effects of time limits. I also find that a considerable amount of dynamics is due to individuals reducing welfare use, as their stock of remaining welfare eligibility depletes. This generates more plausible predictions related to counterfactuals, cumulative welfare use patterns, and mechanical termination of benefits.

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http://hdl.handle.net/10453/130365