1. Immigrant inventors and local income taxes: Evidence from Swiss municipalities
- Author
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Widmann, Rainer
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Education -- Finance ,Personal finance -- Taxation ,Tax rates ,Business schools ,Tax law ,Immigrants -- Taxation ,Elasticity (Economics) ,New business enterprises ,Income tax ,Tax law ,Business ,Economics ,Government - Abstract
Keywords Inventor mobility; Personal income taxes; Regional development Highlights * This study exploits drops in top personal net-of-tax rates across Swiss state borders. * Finds a local elasticity in immigrant inventors' location choices of 3.2. * These choices matter for the localization of new ventures and knowledge spillovers. Abstract This paper studies the relationship between local personal income tax rates and the attractiveness of municipalities as residential locations for immigrant inventors in Switzerland. Exploiting sharp differences in top income tax rates across state borders, I find an elasticity of the probability that an inventor takes residence in a border municipality with respect to the top net-of-tax rate of around 3.2. Additional evidence suggests that inventors' residential location choices are consequential for the localization of entrepreneurial activity and local knowledge spillovers. Author Affiliation: Max Planck Institute for Innovation and Competition, Germany Article History: Received 26 October 2020; Revised 19 October 2022; Accepted 16 January 2023 (footnote)[white star] I thank Benjamin F. Jones, Craig Garthwaite, Nicola Persico, David Besanko, Matthew Notowidigdo, Fabian Gaessler, Pere Arqué-Castells, Nicola Bianchi, Elena Prager, Michael Powell, Christopher Ody, Amanda Starc, Dietmar Harhoff, Raphael Parchet, Martin Wörter, Kurt Schmidheiny and Enrico Berkes. Moreover, I would like to thank the editor, two anonymous referees and seminar participants at Kellogg School of Management, the Swiss Workshop on Local Public Finance and Regional Economics, the Geography of Innovation conference, LMU Munich, EPFL Lausanne, Max-Planck Institute for Innovation and Competition, TU Munich and at the University of Wisconsin at Whitewater for their feedback. I am indebted to Raphael Parchet, Ernest Miguélez and Carsten Fink for providing me with data. I gratefully acknowledge financial support from the General Motors Research Center and the Kellogg School of Management. Byline: Rainer Widmann [rainer.widmann@ip.mpg.de]
- Published
- 2023
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