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Exit Dynamics with Adjustment Costs

We use the Stock and Wise approximation of stochastic dynamic programming in order to identify the extent to which profitability can explain exit behavior. In our econometric model, heterogeneous firms engage in Bertrand (price) competition. Firms produce heterogeneous products, using labor, materials and capital as inputs. The stock of capital is changed through investments and disinvestments, where the firm incurs adjustment costs due to partial irreversibilities. The model is estimated for six manufacturing industries using Norwegian micro data for the period 1993-2002. We find that increased profitability lowers the exit probability, and this effect is statistically significant in all industries, while, ceteris paribus, high adjustment costs significantly decrease the probability of exit in five of the industries. Exiting firms are characterized by persistently, although only moderately higher, annual exit probabilities than the average firm. There is no tendency for exiting firms to have a high probability of exit just prior to exit.

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Paper provided by Research Department of Statistics Norway in its series Discussion Papers with number 442.

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Date of creation: Dec 2005
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Handle: RePEc:ssb:dispap:442
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  1. Melitz, Marc J, 2002. "The Impact of Trade on Intra-Industry Reallocations and Aggregate Industry Productivity," CEPR Discussion Papers 3381, C.E.P.R. Discussion Papers.
  2. Tor Jakob Klette & Zvi Griliches, 1997. "Empirical Patters of Firm Growth and R&D Investment: A Quality Ladder Model Interpretation," Harvard Institute of Economic Research Working Papers 1795, Harvard - Institute of Economic Research.
  3. Tor Jakob Klette & Samuel Kortum, 2004. "Innovating Firms and Aggregate Innovation," Journal of Political Economy, University of Chicago Press, vol. 112(5), pages 986-1018, October.
  4. G. Steven Olley & Ariel Pakes, 1992. "The Dynamics of Productivity in the Telecommunications Equipment Industry," NBER Working Papers 3977, National Bureau of Economic Research, Inc.
  5. Arvid Raknerud & Dag Rønningen & Terje Skjerpen, 2007. "A Method For Improved Capital Measurement By Combining Accounts And Firm Investment Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 53(3), pages 397-421, 09.
  6. Ricardo J. Caballero & Eduardo M. R. A. Engel, 1999. "Explaining Investment Dynamics in U.S. Manufacturing: A Generalized (S,s) Approach," Econometrica, Econometric Society, vol. 67(4), pages 783-826, July.
  7. Nicholas Bloom & Steve Bond & John Van Reenen, 2001. "The dynamics of investment under uncertainty," IFS Working Papers W01/05, Institute for Fiscal Studies.
  8. Boeri, Tito & Bellmann, Lutz, 1995. "Post-entry behaviour and the cycle: Evidence from Germany," International Journal of Industrial Organization, Elsevier, vol. 13(4), pages 483-500, December.
  9. Kenneth Train, 2003. "Discrete Choice Methods with Simulation," Online economics textbooks, SUNY-Oswego, Department of Economics, number emetr2, December.
  10. Dunne, T. & Roberts, M.J. & Samuelson, L., 1988. "Pattenrs Of Firm Entry And Exit In U.S. Manufacturing Industries," Papers 1-88-2, Pennsylvania State - Department of Economics.
  11. Das, Sanghamitra, 1992. "A Micro-econometric Model of Capital Utilization and Retirement: The Case of the U.S. Cement Industry," Review of Economic Studies, Wiley Blackwell, vol. 59(2), pages 277-97, April.
  12. Abel, Andrew B & Eberly, Janice C, 1996. "Optimal Investment with Costly Reversibility," Review of Economic Studies, Wiley Blackwell, vol. 63(4), pages 581-93, October.
  13. Sanford J. Grossman & Guy Laroque, 1987. "Asset Pricing and Optimal Portfolio Choice in the Presence of Illiquid Durable Consumption Goods," NBER Working Papers 2369, National Bureau of Economic Research, Inc.
  14. Øivind Anti Nilsen & Fabio Schiantarelli, 2003. "Zeros and Lumps in Investment: Empirical Evidence on Irreversibilities and Nonconvexities," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 1021-1037, November.
  15. John Van Reenen & Nick Bloom & Steve Bond, 2006. "Uncertainty and investment dynamics," LSE Research Online Documents on Economics 2645, London School of Economics and Political Science, LSE Library.
  16. Mata, Jose & Portugal, Pedro & Guimaraes, Paulo, 1995. "The survival of new plants: Start-up conditions and post-entry evolution," International Journal of Industrial Organization, Elsevier, vol. 13(4), pages 459-481, December.
  17. Kjell G. Salvanes & Ragnar Tveteras, 2004. "Plant Exit, Vintage Capital and the Business Cycle," Journal of Industrial Economics, Wiley Blackwell, vol. 52(2), pages 255-276, 06.
  18. Tor Jakob Klette & Zvi Griliches, 1998. "Empirical Patterns of Firm Growth and R&D Investment: A QuUality LadderModel Interpretation," NBER Working Papers 6753, National Bureau of Economic Research, Inc.
  19. Doms, Mark & Dunne, Timothy & Roberts, Mark J., 1995. "The role of technology use in the survival and growth of manufacturing plants," International Journal of Industrial Organization, Elsevier, vol. 13(4), pages 523-542, December.
  20. J. Durbin, 2002. "A simple and efficient simulation smoother for state space time series analysis," Biometrika, Biometrika Trust, vol. 89(3), pages 603-616, August.
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