Productivity of Nations: a stochastic frontier approach to TFP decomposition
This paper tackles the problem of aggregate TFP measurement using stochastic frontier analysis (SFA). Data from Penn World Table 6.1 are used to estimate a world production frontier for a sample of 75 countries over a long period (1950-2000) taking advantage of the model offered by Battese & Coelli (1992). We also apply the decomposition of TFP suggested by Bauer (1990) and Kumbhakar (2000) to a smaller sample of 36 countries over the period 1970-2000 in order to evaluate the effects of changes in efficiency (technical and allocative), scale effects and technical change. This allows us to analyze the role of productivity and its components in economic growth of developed and developing nations in addition to the importance of factor accumulation. Although not much explored in the study of economic growth, frontier techniques seem to be of particular interest for that purpose since the separation of efficiency effects and technical change has a direct interpretation in terms of the catch-up debate. The estimated technical efficiency scores reveal the efficiency of nations in the production of non tradable goods since the GDP series used is PPP-adjusted. We also provide a second set of efficiency scores corrected in order to reveal efficiency in the production of tradable goods and rank them. When compared to the rankings of productivity indexes offered by non-frontier studies of Hall & Jones (1996) and Islam (1995) our ranking shows a somewhat more intuitive order of countries. Rankings of the technical change and scale effects components of TFP change are also very intuitive. We also show that productivity is responsible for virtually all the differences of performance between developed and developing countries in terms of rates of growth of income per worker. More important, we find that changes in allocative efficiency play an important role in explaining differences in the productivity of developed and developing nations, even larger than the one played by the technology gap.
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- 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.
- Robert E. Hall & Charles I. Jones, 1999.
"Why Do Some Countries Produce So Much More Output per Worker than Others?,"
NBER Working Papers
6564, National Bureau of Economic Research, Inc.
- Robert E. Hall & Charles I. Jones, 1999. "Why Do Some Countries Produce So Much More Output Per Worker Than Others?," The Quarterly Journal of Economics, MIT Press, vol. 114(1), pages 83-116, February.
- Hall, Robert E & Jones, Charles I, 1997.
"Levels of Economic Activity across Countries,"
American Economic Review,
American Economic Association, vol. 87(2), pages 173-77, May.
- Peter Klenow & Andrés Rodríguez-Clare, 1997. "The Neoclassical Revival in Growth Economics: Has It Gone Too Far?," NBER Chapters, in: NBER Macroeconomics Annual 1997, Volume 12, pages 73-114 National Bureau of Economic Research, Inc.
- Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-32.
- Paul W. Bauer, 1988. "Decomposing TFP growth in the presence of cost inefficiency, nonconstant returns to scale, and technological progress," Working Paper 8813, Federal Reserve Bank of Cleveland.
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