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Australia's firm-level productivity -- a new perspective

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  • Robert Breunig

    ()
    (Research School of Social Sciences, Australian National University)

  • Marn-Heong Wong

    ()
    (Australia-Japan Research Centre, Australian National University)

Abstract

Not all firms contributed to Australia's impressive productivity growth in the 1990s. Some performed better than others, and entrants arrived even as incumbents exited. If firms make decisions on input demand and liquidation based on their productivity, the latter known to them but unobserved by the econometrician, this gives rise to simultaneity and selection problems that bias the traditional estimators of production function coefficients. We apply a semiparametric technique that endogenizes input choices and firm exit decisions to obtain production function estimates on Australian firms. Estimation is carried out using the Business Longitudinal Survey, Australia's only business longitudinal micro-dataset that tracks firm entry and exit.

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Paper provided by Stata Users Group in its series Australasian Stata Users' Group Meetings 2004 with number 2.

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Handle: RePEc:boc:osug04:2

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Web page: http://www.stata.com/meeting/1australia
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  1. Stefano Scarpetta & Philip Hemmings & Thierry Tressel & Jaejoon Woo, 2002. "The Role of Policy and Institutions for Productivity and Firm Dynamics: Evidence from Micro and Industry Data," OECD Economics Department Working Papers 329, OECD Publishing.
  2. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-97, November.
  3. Yi-Ping Tseng & Mark Wooden, 2001. "Enterprise Bargaining and Productivity: Evidence from the Business Longitudinal Survey," Melbourne Institute Working Paper Series wp2001n08, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  4. Eric J. Bartelsman & Mark Doms, 2000. "Understanding productivity: lessons from longitudinal microdata," Finance and Economics Discussion Series 2000-19, Board of Governors of the Federal Reserve System (U.S.).
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  7. Nelson, Richard R, 1981. "Research on Productivity Growth and Productivity Differences: Dead Ends and New Departures," Journal of Economic Literature, American Economic Association, vol. 19(3), pages 1029-64, September.
  8. Marc-Andreas Muendler, 2004. "Estimating Production Functions When Productivity Change is Endogenous," CESifo Working Paper Series 1143, CESifo Group Munich.
  9. Phoebus J Dhrymes, 1991. "The Structure Of Production Technology Productivity And Aggregation Effects," Working Papers 91-5, Center for Economic Studies, U.S. Census Bureau.
  10. Hopenhayn, Hugo & Rogerson, Richard, 1993. "Job Turnover and Policy Evaluation: A General Equilibrium Analysis," Journal of Political Economy, University of Chicago Press, vol. 101(5), pages 915-38, October.
  11. Andrews, Donald W K, 1991. "Asymptotic Normality of Series Estimators for Nonparametric and Semiparametric Regression Models," Econometrica, Econometric Society, vol. 59(2), pages 307-45, March.
  12. Pavcnik, Nina, 2002. "Trade Liberalization, Exit, and Productivity Improvement: Evidence from Chilean Plants," Review of Economic Studies, Wiley Blackwell, vol. 69(1), pages 245-76, January.
  13. Ericson, Richard & Pakes, Ariel, 1995. "Markov-Perfect Industry Dynamics: A Framework for Empirical Work," Review of Economic Studies, Wiley Blackwell, vol. 62(1), pages 53-82, January.
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  15. Sanghoon Ahn, 2001. "Firm Dynamics and Productivity Growth: A Review of Micro Evidence from OECD Countries," OECD Economics Department Working Papers 297, OECD Publishing.
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