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Australia's Firm-level Productivity - a New Perspective

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Author Info
Robert Breunig
Marn-Heong Wong

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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 which bias the traditional estimators of production function coefficients. We apply a semiparametric technique that endogenises 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 which tracks firm entry and exit. We analyse over twenty industries at the 2-digit ANZSIC level. Results from production function estimation provide interesting insights on the micro processes at work within industries and the differences across industries. The relative contribution of continuing and entering/exiting firms to Total Factor Productivity growth is then assessed, using a recently proposed decomposition method that corrects for earlier methods’ failure to meet the property of monotonicity in their indicator of aggregate productivity change. This highlights the role of firm dynamics, and the forces of regulation, innovation and competition propelling them, as an indelible part of the bigger productivity improvement picture.

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Paper provided by Econometric Society in its series Econometric Society 2004 Australasian Meetings with number 177.

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Date of creation: 11 Aug 2004
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Handle: RePEc:ecm:ausm04:177

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Related research
Keywords: production function; total factor productivity; semi-parametric estimation;

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Find related papers by JEL classification:
C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods
D24 - Microeconomics - - Production and Organizations - - - Production; Capital and Total Factor Productivity; Capacity

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  6. 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:
  7. Ericson, Richard & Pakes, Ariel, 1995. "Markov-Perfect Industry Dynamics: A Framework for Empirical Work," Review of Economic Studies, Blackwell Publishing, vol. 62(1), pages 53-82, January. [Downloadable!] (restricted)
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  10. 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)
  11. 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. [Downloadable!]
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  13. Dhymes, P., 1991. "The Structure of production Technology: Productivity and Aggregation Effects," Discussion Papers 1991_07, Columbia University, Department of Economics.
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  16. 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.
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  17. Mark Rogers & Yi-Ping Tseng, 2000. "Analysing Firm-Level Labour Productivity Using Survey Data," Melbourne Institute Working Paper Series wp2000n10, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne. [Downloadable!]
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