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Firm growth and productivity in Belarus : new empirical evidence from the machine building industry

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  • Cuaresma, Jesus Crespo
  • Oberhofer, Harald
  • Vincelette, Gallina A.

Abstract

Using a unique dataset comprising information for more than 900 firms in the machine building sector in Belarus, this paper investigates the determinants of firm growth for an economy where state ownership of enterprises is widespread. It uses panel data models based on generalizations of Gibrat's law, total factor productivity estimates and matching methods to assess the differences in firm growth between private and state-owned firms. The results indicate that labor hoarding and soft budget constraints play a particularly important role in explaining differences in performance between these two groups of firms.

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Bibliographic Info

Paper provided by The World Bank in its series Policy Research Working Paper Series with number 6005.

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Date of creation: 01 Mar 2012
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Handle: RePEc:wbk:wbrwps:6005

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Keywords: Microfinance; Labor Policies; Economic Theory&Research; Economic Growth; Labor Markets;

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References

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  3. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
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  5. Ioannis Giotopoulos & Georgios Fotopoulos, 2010. "Intra-Industry Growth Dynamics in the Greek Services Sector: Firm-Level Estimates for ICT-Producing, ICT-Using, and Non-ICT Industries," Review of Industrial Organization, Springer, vol. 36(1), pages 59-74, February.
  6. Janos Kornai & Eric Maskin & Gerard Roland, 2002. "Understanding the Soft Budget Constraint," Economics Working Papers 0019, Institute for Advanced Study, School of Social Science.
  7. Blandina Oliveira & Adelino Fortunato, 2005. "Firm Growth and Liquidity Constraints: A Dynamic Analysis," GEMF Working Papers 2005-07, GEMF - Faculdade de Economia, Universidade de Coimbra.
  8. M. Del Gatto & A. Di Liberto & C. Petraglia, 2008. "Measuring Productivity," Working Paper CRENoS 200818, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
  9. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
  10. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 277-97, April.
  11. Buddelmeyer, Hielke & Jensen, Paul H. & Oguzoglu, Umut & Webster, Elizabeth, 2008. "Fixed Effects Bias in Panel Data Estimators," IZA Discussion Papers 3487, Institute for the Study of Labor (IZA).
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  13. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, 01.
  14. Goddard, John & Wilson, John & Blandon, Peter, 2002. "Panel tests of Gibrat's Law for Japanese manufacturing," International Journal of Industrial Organization, Elsevier, vol. 20(3), pages 415-433, March.
  15. Deborah A. Cobb-Clark & Thomas Crossley, 2003. "Econometrics for Evaluations: An Introduction to Recent Developments," The Economic Record, The Economic Society of Australia, vol. 79(247), pages 491-511, December.
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Cited by:
  1. Tadesse WODAJO, Tadesse & Dawit SENBET, Dawit, 2013. "Distributions Of Public And Private Manufacturing Firms And Determinants Of Productivity In Ethiopia," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 13(1).
  2. Ghosh, Saibal, 2013. "Do economic reforms matter for manufacturing productivity? Evidence from the Indian experience," Economic Modelling, Elsevier, vol. 31(C), pages 723-733.

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