revised version published as 'Is it Socially Efficient to Impose Job Search Requirements on Unemployed Benefit Claimants with Hyperbolic Preferences?' in: Journal of Public Economics, 2014, 113, 80-95
This paper develops a partial equilibrium job search model to study the behavioral and welfare implications of an Unemployment Insurance (UI) scheme in which job search requirements are imposed on UI recipients with hyperbolic preferences. We show that, if the search requirements are well chosen, a perfect monitoring scheme can in principle increase the job finding rate and, contrary to what happens with exponential discounting, it can raise the expected lifetime utility of the current and future selves of sophisticated hyperbolic discounters. The same holds for naive agents if the welfare criterion ignores their misperception problem.
In sum, introducing a perfect monitoring scheme can be a Pareto improvement. However, if claimants have the opportunity to withdraw from the UI scheme, their long-run utility can even be lower than in the absence of job search requirements. Imperfections in the measurement of job-search effort further reduce the chances that monitoring raises the welfare of the unemployed.
We use cookies to provide you with an optimal website experience. This includes cookies that are necessary for the operation of the site as well as cookies that are only used for anonymous statistical purposes, for comfort settings or to display personalized content. You can decide for yourself which categories you want to allow. Please note that based on your settings, you may not be able to use all of the site's functions.
Cookie settings
These necessary cookies are required to activate the core functionality of the website. An opt-out from these technologies is not available.
In order to further improve our offer and our website, we collect anonymous data for statistics and analyses. With the help of these cookies we can, for example, determine the number of visitors and the effect of certain pages on our website and optimize our content.