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Plants' Entry and Exit in Swedish Municipalities

Author

Listed:
  • Berglund, Elisabet

    (Department of Economics, Umeå University)

  • Brännäs, Kurt

    (Department of Economics, Umeå University)

Abstract

Plants' entry and exit behaviour in Swedish municipalities are studied within a fixed-effect, integer-valued autoregressive model. Based on eight industrial sectors, 1985--1993, and all municipalities, models are estimated by a generalized method of moment estimator. Influences on entry and exit are systematic and spatially variable. Responses to explanatory variables differ between sectors. Average income, local unemployment and higher education are found to be important determinants of both entry and exit.

Suggested Citation

  • Berglund, Elisabet & Brännäs, Kurt, 1999. "Plants' Entry and Exit in Swedish Municipalities," Umeå Economic Studies 497, Umeå University, Department of Economics.
    • Handle: RePEc:hhs:umnees:0497
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    Cited by:

    1. Feike C. Drost & Ramon Van Den Akker & Bas J. M. Werker, 2008. "Local asymptotic normality and efficient estimation for INAR(p) models," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(5), pages 783-801, September.
    2. Brixy, Udo & Grotz, Reinhold, 2006. "Regional patterns and determinants of new firm formation and survival in western Germany," IAB-Discussion Paper 200605, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Calá, Carla Daniela, 2014. "Regional issues on firm entry and exit in Argentina: core and peripheral regions," Nülan. Deposited Documents 2023, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    4. Sven-olov Daunfeldt & Niklas Rudholm & Fredrik Bergström, 2006. "Entry into Swedish Retail and Wholesale Trade Markets," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 29(3), pages 213-225, November.
    5. Stephan Brunow & Peter Nijkamp, 2019. "Firm Formation And Industrial Agglomeration Under Monopolistic Competition - A Study On German Regions," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 13(2), pages 1-25, DECEMBER.
    6. Schanne, Norbert & Weyh, Antje, 2009. "What makes start-ups out of unemployment different?," IAB-Discussion Paper 200904, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. Calá, Carla Daniela, 2015. "Firm dynamics in developing countries: a single policy for all regions?," Nülan. Deposited Documents 2650, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    8. Feike C. Drost & Ramon van den Akker & Bas J. M. Werker, 2009. "Efficient estimation of auto‐regression parameters and innovation distributions for semiparametric integer‐valued AR(p) models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(2), pages 467-485, April.
    9. Berglund, Elisabet, 1999. "Human Capital and Regional Entry of Firms," Umeå Economic Studies 500, Umeå University, Department of Economics.
    10. Niklas Elert, 2014. "What determines entry? Evidence from Sweden," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 55-92, August.
    11. Burhan Can Karahasan, 2014. "The Spatial Distribution Of New Firms:Can Peripheral Areas Escape From The Curse Of Remoteness?," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 8(2), pages 1-28, DECEMBER.
    12. A. Colin Cameron & Tong Li & Pravin K. Trivedi & David M. Zimmer, 2004. "Modelling the differences in counted outcomes using bivariate copula models with application to mismeasured counts," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 566-584, December.
    13. Drost, F.C. & van den Akker, R. & Werker, B.J.M., 2008. "Efficient Estimation of Autoregression Parameters and Innovation Distributions forSemiparametric Integer-Valued AR(p) Models (Revision of DP 2007-23)," Other publications TiSEM cef533d0-6b49-4ce9-8cd2-7, Tilburg University, School of Economics and Management.
    14. Stefan Buehler & Christian Kaiser & Franz Jaeger, 2012. "The geographic determinants of bankruptcy: evidence from Switzerland," Small Business Economics, Springer, vol. 39(1), pages 231-251, July.
    15. repec:tiu:tiutis:6b90fe6f-4de9-4192-9f4d-99ae9220af75 is not listed on IDEAS
    16. Drost, F.C. & van den Akker, R. & Werker, B.J.M., 2009. "The asymptotic structure of nearly unstable non negative integer-valued AR(1) models," Other publications TiSEM ac0494ae-7a32-43ca-b5b4-d, Tilburg University, School of Economics and Management.
    17. Stefan Buehler & Christian Kaiser & Franz Jaeger, 2007. "On the Geographic and Cultural Determinants of Bankruptcy," SOI - Working Papers 0701, Socioeconomic Institute - University of Zurich, revised Jun 2007.
    18. Stephan Brunow & Peter Nijkamp, 2013. "Firm Formation and Agglomeration under Monopolistic Competition," Tinbergen Institute Discussion Papers 13-134/VIII, Tinbergen Institute.
    19. Berglund, Elisabet, 1999. "Options, Timing, and Regional Entry of Firms," Umeå Economic Studies 505, Umeå University, Department of Economics.
    20. Håkansson, Johan & Macuchova, Zuzana & Rudholm, Niklas, 2011. "Firm migration in the Swedish wholesale trade sector," HUI Working Papers 52, HUI Research.
    21. Jean-Pierre Huiban, 2011. "The spatial demography of new plants: urban creation and rural survival," Small Business Economics, Springer, vol. 37(1), pages 73-86, July.
    22. Canfei He & Rudai Yang, 2016. "Determinants of Firm Failure: Empirical Evidence from China," Growth and Change, Wiley Blackwell, vol. 47(1), pages 72-92, March.
    23. Kiarash Motamedi & Nathalie Picard & André de Palma, 2013. "Employment and Business Evolution and Location Choice in Paris Area Firmographics approach," THEMA Working Papers 2013-28, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.

    More about this item

    Keywords

    Industrial sector; Integer-Valued Autoregression; Panel Data; GMM Estimation;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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