Marco Caliendo is Professor of Empirical Economics at the University of Potsdam. He studied economics at the University of Manchester and the Goethe-University of Frankfurt where he also received his PhD in April 2005. From January 2005 until July 2007 he worked for the DIW in Berlin as a Senior Research Associate in the Public Economics Department.
His current research interests include the evaluation of labor market programs, job search and unemployment dynamics, self-employment/entrepreneurship, the influence of personality traits on economic outcomes, and applied microeconometrics. His work has been published in journals such asReview of Economics and Statistics, European Economic Review, Journal of Human Resources, Research Policy, Journal of Public Economics, Journal of Applied Econometrics, Journal of Economic Behavior and Organization, Oxford Bulletin of Economics and Statistics, Journal of Population Economics, Journal of Economic PsychologyandSmall Business Economics.
He joined IZA as a Senior Research Associate in August 2007 and served as Deputy Program Director for the IZA research area "Evaluation of Labor Market Programs" until January 2009. From February 2009 until September 2011 he served as Director of Research at IZA. Since October 2011 Marco Caliendo has been acting as Program Director of IZA’s research area “Evaluation of Labor Market Programs”.
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.