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A Richer Understanding of Australia’s Productivity Performance in the 1990s: Improved estimates based upon firm-level panel data

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Author Info
Robert Breunig
Marn-Heong Wong

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Abstract

Australia’s productivity performance is characterized by important differences across continuing firms, frequent entry of new firms, and substantial exit of firms which, for one reason or another, decide to cease production. These basic facts call into question the appropriateness of measuring productivity using an aggregate production function that is based upon a representative firm. This study relaxes the standard assumptions that industries are comprised of a set of homogeneous firms, the set of which are constant over time. Instead, we apply a semi-parametric production to continue production. The model controls for the relationship between productivity shocks and input choices and the inter-relationship between these and the decision to continue production. Using the Business Longitudinal Survey we estimate an improved set of production functions for twenty-five two-digit industries in Australia. We use these results to examine aggregate industry-level productivity performance. We use a new aggregation method in calculating these changes which allows us to separate productivity changes and output composition changes which sheds new light on industry-level productivity performance in Australia.

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Publisher Info
Paper provided by Centre for Economic Policy Research, Research School of Social Sciences, Australian National University in its series CEPR Discussion Papers with number 545.

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Date of creation: Mar 2007
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Handle: RePEc:auu:dpaper:545

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Related research
Keywords: Firm-level production function estimation; multi-factor productivity; semiparametric estimation; Australian economic performance;

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Find related papers by JEL classification:
D21 - Microeconomics - - Production and Organizations - - - Firm Behavior
D24 - Microeconomics - - Production and Organizations - - - Production; Capital and Total Factor Productivity; Capacity
L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General
C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods

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  1. Dean Parham, 2004. "Sources of Australia's Productivity Revival," The Economic Record, The Economic Society of Australia, vol. 80(249), pages 239-257, 06. [Downloadable!] (restricted)
  2. 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. [Downloadable!] (restricted)
    Other versions:
  3. Blalock, Garrick & Gertler, Paul J., 2004. "Learning from exporting revisited in a less developed setting," Journal of Development Economics, Elsevier, vol. 75(2), pages 397-416, December. [Downloadable!] (restricted)
  4. Amil Petrin & James Levinsohn, 2005. "Measuring Aggregate Productivity Growth Using Plant-Level Data," NBER Working Papers 11887, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  5. Chiara Criscuolo & Ralf Martin, 2005. "Multinationals and US Productivity Leadership: Evidence from Great Britain," CEP Discussion Papers dp0672, Centre for Economic Performance, LSE. [Downloadable!]
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  6. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," Review of Economic Studies, Blackwell Publishing, vol. 70(2), pages 317-341, 04. [Downloadable!] (restricted)
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  7. 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. [Downloadable!] (restricted)
  8. Marc-Andreas Muendler, 2004. "Estimating Production Functions When Productivity Change Is Endogenous," University of California at San Diego, Economics Working Paper Series 2004-05, Department of Economics, UC San Diego. [Downloadable!]
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  9. 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. [Downloadable!] (restricted)
  10. Eric J. Bartelsman & John Haltiwanger & Stefano Scarpetta, 2004. "Microeconomic Evidence of Creative Destruction in Industrial and Developing Countries," Tinbergen Institute Discussion Papers 04-114/3, Tinbergen Institute. [Downloadable!]
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  11. Marc-Andreas Muendler, 2004. "Trade, Technology, and Productivity: A Study of Brazilian Manufacturers, 1986-1998," University of California at San Diego, Economics Working Paper Series 2004-06, Department of Economics, UC San Diego. [Downloadable!]
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  12. Ariel Pakes, 1991. "Dynamic Structural Models: Problems and Prospects. Mixed Continuous Discrete Controls and Market Interactions," Cowles Foundation Discussion Papers 984, Cowles Foundation, Yale University. [Downloadable!]
  13. 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.). [Downloadable!]
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  14. Pavcnik, Nina, 2002. "Trade Liberalization, Exit, and Productivity Improvement: Evidence from Chilean Plants," Review of Economic Studies, Blackwell Publishing, vol. 69(1), pages 245-76, January.
    Other versions:
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