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Product Innovation and Population Dynamics in the German Insurance Market

Empirical research in organizational ecology has mainly focused on analyzing founding and mortality rates using life history data of the organizations. We try to extend this approach in our study in a number of ways. In contrast to most empirical studies in organizational ecology, we chose a population of service organizations, in particular the German insurance companies, the development dynamics of which are rather obvious in the innovative activities of existing organizations than in founding activities. We further discuss the points of contact between the organizational ecology approach and the theory of industry life cycles and extend the analysis to the relationship between innovative activities and population dynamics. The study examines the effects of population density, former events, and organizational size and age structure in the population of property & casualty insurance companies on the number of product innovations generated. We will further develop a concept for an insurance specific industry life cycle with a non-typical maturation and degeneration phase.

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File URL: http://www.wiwi.uni-augsburg.de/vwl/institut/paper/240.pdf
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Paper provided by Universitaet Augsburg, Institute for Economics in its series Discussion Paper Series with number 240.

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Length: pages
Date of creation: May 2003
Date of revision:
Handle: RePEc:aug:augsbe:0240
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Web page: http://www.wiwi.uni-augsburg.de/vwl/institut
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  1. Michael Hagerty, 1999. "Testing Maslow's Hierarchy of Needs: National Quality-of-Life Across Time," Social Indicators Research, Springer, vol. 46(3), pages 249-271, March.
  2. Jovanovic, B. & MacDonald, G.M., 1992. "The Life-Cycle of Competitive Industry," Papers 92-09, Rochester, Business - Financial Research and Policy Studies.
  3. Gort, Michael & Klepper, Steven, 1982. "Time Paths in the Diffusion of Product Innovations," Economic Journal, Royal Economic Society, vol. 92(367), pages 630-53, September.
  4. Klepper, Steven, 1996. "Entry, Exit, Growth, and Innovation over the Product Life Cycle," American Economic Review, American Economic Association, vol. 86(3), pages 562-83, June.
  5. Abhijit Banerjee & Andrew F. Newman, 1989. "Risk-Bearing and the Theory of Income Distribution," Discussion Papers 877, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  6. Klepper, Steven, 1997. "Industry Life Cycles," Industrial and Corporate Change, Oxford University Press, vol. 6(1), pages 145-81.
  7. Cameron, A Colin & Trivedi, Pravin K, 1986. "Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
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