Revisiting Some Productivity Debates
AbstractResearchers interested in estimating productivity can choose from an array of methodologies, each with its strengths and weaknesses. Methods differ by the assumptions they rely on and imply very different calculations. I compare five widely used techniques: (a) index numbers, (b) data envelopment analysis, and three parametric methods, (c) instrumental variables estimation, (d) stochastic frontiers, and (e) semi-parametric estimation. I compare the estimates directly and evaluate three productivity debates using a panel of manufacturing plants in Colombia. The different methods generate surprisingly similar results. Correlations between alternative productivity estimates are invariably high. All methods confirm that exporters are more productive on average and that only a small portion of the productivity advantage is due to scale economies. Productivity growth is correlated more strongly with export status, frequent investments in capital equipment, and employment of managers than with the use of imported inputs or foreign ownership. On the debate whether aggregate productivity growth is driven by plant-level changes or output share relocation, all methods point to the the importance of plant-level changes, in contrast to results from the U.S.
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Bibliographic InfoPaper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 10065.
Date of creation: Nov 2003
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Publication status: published as Van Biesebroeck, Johannes, 2008. "The Sensitivity of Productivity Estimates," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 311-328.
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- C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
- O3 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights
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- Acemoglu, Daron & Zilibotti, Fabrizio, 1998.
660, Stockholm University, Institute for International Economic Studies.
- Acemoglu, Daron & Zilibotti, Fabrizio, 2000. "Productivity Differences," CEPR Discussion Papers 2498, C.E.P.R. Discussion Papers.
- Daron Acemoglu & Fabrizio Zilbotti, 1999. "Productivity Differences," NBER Working Papers 6879, National Bureau of Economic Research, Inc.
- Acemoglu, D. & Zilibotti, F., 1998. "Productivity Differences," Papers 660, Stockholm - International Economic Studies.
- Bernard, A., 1997.
"Exceptional Exporter Performance: Cause, Effect, or Both?,"
97-21, Massachusetts Institute of Technology (MIT), Department of Economics.
- Bernard, Andrew B. & Bradford Jensen, J., 1999. "Exceptional exporter performance: cause, effect, or both?," Journal of International Economics, Elsevier, vol. 47(1), pages 1-25, February.
- Andrew B. Bernard & J. Bradford Jensen, 1997. "Exceptional Exporter Performance: Cause, Effect, or Both?," NBER Working Papers 6272, National Bureau of Economic Research, Inc.
- Richard Blundell & Stephen Bond, 2000.
"GMM Estimation with persistent panel data: an application to production functions,"
Taylor & Francis Journals, vol. 19(3), pages 321-340.
- Richard Blundell & Steve Bond, 1999. "GMM estimation with persistent panel data: an application to production functions," IFS Working Papers W99/04, Institute for Fiscal Studies.
- Richard Blundell & Steve Bond, 1995.
"Initial conditions and moment restrictions in dynamic panel data models,"
IFS Working Papers
W95/17, Institute for Fiscal Studies.
- 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.
- Blundell, R. & Bond, S., 1995. "Initial Conditions and Moment Restrictions in Dynamic Panel Data Models," Economics Papers 104, Economics Group, Nuffield College, University of Oxford.
- R Blundell & Steven Bond, . "Initial conditions and moment restrictions in dynamic panel data model," Economics Papers W14&104., Economics Group, Nuffield College, University of Oxford.
- Brynjolfsson, Erik & Hitt, Lorin M., 2004.
"Computing Productivity: Firm-Level Evidence,"
4210-01, Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Aw, Bee Yan & Chen, Xiaomin & Roberts, Mark J., 2001. "Firm-level evidence on productivity differentials and turnover in Taiwanese manufacturing," Journal of Development Economics, Elsevier, vol. 66(1), pages 51-86, October.
- 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.
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