Economic Growth Decomposition. An Empirical Analysis Using Bayesian Frontier Approach
This paper presents an empirical analysis of economic growth in respect of its components, namely input change, technological progress and changes in efficiency. In this work the Bayesian Stochastic Frontier method as well as the output change decomposition procedure, are used in order to evaluate their influence on economic growth. The use of panel data in the study allows for a detailed analysis of economic growth in a given economy and enables the search for general patterns that govern the process. The study is carried using a set of sixteen countries over the period 1995 - 2005.
Volume (Year): 1 (2009)
Issue (Month): 4 (December)
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- KOOP, Gary & STEEL, MarkÂ F. & OSIEWALSKI, Jacek, 1994. "Posterior Analysis of Stochastic Frontier Models using Gibbs Sampling," CORE Discussion Papers 1994061, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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- Paul Schreyer, 2007. "Old and New Asset Boundaries: A Review Article on Measuring Capital in the New Economy," International Productivity Monitor, Centre for the Study of Living Standards, vol. 15, pages 75-80, Fall.
- repec:ebl:ecbull:v:15:y:2007:i:3:p:1-8 is not listed on IDEAS
- Osiewalski, J. & Koop, G. & Steel, M.F.J., 1997.
"A Stochastic Frontier Analysis of Output Level and Growth in Poland and Western Economies,"
1997-85, Tilburg University, Center for Economic Research.
- Koop, Gary & Osiewalski, Jacek & Steel, Mark F J, 2000. " A Stochastic Frontier Analysis of Output Level and Growth in Poland and Western Economies," Economic Change and Restructuring, Springer, vol. 33(3), pages 185-202.
- 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.
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