Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.