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Demography and Innovative Entrepreneurship

  • Werner Bönte
  • Oliver Falck
  • Stephan Heblich

Demographic change will be one of the major challenges for economic policy in the developed world in the next decades. In this article, we analyze the relationship between age structure and the number of startups. We argue that an individual’s decision to start a business is determined by his or her age and, therefore, that a change in a region’s age distribution affects the expected number of startups in the region. Using German regional data, we estimate a count-data model and find that the expected number of startups is positively influenced by the fraction of individuals of working age—20–64 years old. A more detailed analysis of the working-age distribution suggests that startups in knowledge-based (high-tech) manufacturing industries are affected by changes in this distribution whereas firms in other industries are not. In particular, increases in the fraction of individuals in the 20–30 age range and individuals in the 40–50 age range have a positive effect on the number of high-tech startups.

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File URL: http://www.cesifo-group.de/portal/page/portal/DocBase_Content/WP/WP-CESifo_Working_Papers/wp-cesifo-2007/wp-cesifo-2007-10/cesifo1_wp2115.pdf
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Paper provided by CESifo Group Munich in its series CESifo Working Paper Series with number 2115.

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Date of creation: 2007
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Handle: RePEc:ces:ceswps:_2115
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  1. Richard Blundell & Rachel Griffith & John Van Reenen, 1994. "Dynamic count data models of technological innovation," IFS Working Papers W94/10, Institute for Fiscal Studies.
  2. Bernard M.S. van Praag & Adam S. Booij, 2003. "Risk Aversion and the Subjective Time Discount Rate: A Joint Approach," CESifo Working Paper Series 923, CESifo Group Munich.
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  5. Brunow, Stephan & Hirte, Georg, 2005. "Age Structure and Regional Income Growth," Discussion Papers 1/2005, Dresden University of Technology, Faculty of Transportation and Traffic Sciences "Friedrich List", Institute for Transport and Economics.
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  16. Fritsch, Michael & Falck, Oliver, 2007. "New business formation by industry over space and time: A multidimensional analysis," Munich Reprints in Economics 20306, University of Munich, Department of Economics.
  17. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages S71-102, October.
  18. Acs, Zoltan J. & Armington, Catherine, 2004. "The impact of geographic differences in human capital on service firm formation rates," Journal of Urban Economics, Elsevier, vol. 56(2), pages 244-278, September.
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