Productivity change using growth accounting and frontier-based approaches – Evidence from a Monte Carlo analysis
AbstractThis study presents some quantitative evidence from a number of simulation experiments on the accuracy of the productivity growth estimates derived from growth accounting (GA) and frontier-based methods (namely data envelopment analysis-, corrected ordinary least squares-, and stochastic frontier analysis-based malmquist indices) under various conditions. These include the presence of technical inefficiency, measurement error, misspecification of the production function (for the GA and parametric approaches) and increased input and price volatility from one period to the next. The study finds that the frontier-based methods usually outperform GA, but the overall performance varies by experiment. Parametric approaches generally perform best when there is no functional form misspecification, but their accuracy greatly diminishes otherwise. The results also show that the deterministic approaches perform adequately even under conditions of (modest) measurement error and when measurement error becomes larger, the accuracy of all approaches (including stochastic approaches) deteriorates rapidly, to the point that their estimates could be considered unreliable for policy purposes.
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Bibliographic InfoArticle provided by Elsevier in its journal European Journal of Operational Research.
Volume (Year): 222 (2012)
Issue (Month): 3 ()
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Web page: http://www.elsevier.com/locate/eor
Data envelopment analysis; Productivity and competitiveness; Monte Carlo analysis; Stochastic frontier analysis; Growth accounting;
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- TULKENS, Henry & VANDEN EECKAUT, Philippe, 1993.
"Non-Parametric Efficiency, Progress and Regress Measures for Panel Data : Methodological Aspects,"
CORE Discussion Papers
1993016, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Tulkens, Henry & Vanden Eeckaut, Philippe, 1995. "Non-parametric efficiency, progress and regress measures for panel data: Methodological aspects," European Journal of Operational Research, Elsevier, vol. 80(3), pages 474-499, February.
- Balk, B.M., 2008. "Measuring Productivity Change without Neoclassical Assumptions: A Conceptual Analysis," Research Paper ERS-2008-077-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
- Diewert, W E, 1992. "The Measurement of Productivity," Bulletin of Economic Research, Wiley Blackwell, vol. 44(3), pages 163-98, July.
- Pastor, Jesus T. & Lovell, C.A. Knox, 2005. "A global Malmquist productivity index," Economics Letters, Elsevier, vol. 88(2), pages 266-271, August.
- Massimo Del Gatto & Adriana Di Liberto & Carmelo Petraglia, 2011.
Journal of Economic Surveys,
Wiley Blackwell, vol. 25(5), pages 952-1008, December.
- Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-44, June.
- Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
- Mary O'Mahony & Marcel P. Timmer, 2009. "Output, Input and Productivity Measures at the Industry Level: The EU KLEMS Database," Economic Journal, Royal Economic Society, vol. 119(538), pages F374-F403, 06.
- Douglas Koszerek & Karel Havik & Kieran Mc Morrow & Werner R�ger & Frank Sch�nborn, 2007. "An overview of the EU KLEMS Growth and Productivity Accounts," European Economy - Economic Papers 290, Directorate General Economic and Monetary Affairs (DG ECFIN), European Commission.
- Portela, Maria C.A.S. & Thanassoulis, Emmanuel, 2010. "Malmquist-type indices in the presence of negative data: An application to bank branches," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1472-1483, July.
- Sharma, Subhash C. & Sylwester, Kevin & Margono, Heru, 2007. "Decomposition of total factor productivity growth in U.S. states," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(2), pages 215-241, May.
- Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
- Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
- Berndt, Ernst R. & Fuss, Melvyn A., 1986. "Productivity measurement with adjustments for variations in capacity utilization and other forms of temporary equilibrium," Journal of Econometrics, Elsevier, vol. 33(1-2), pages 7-29.
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