Rao, B. Bhaskara and Shankar, Sriram (2011): Estimates of the long-run growth rate of Singapore with a CES production function.
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This paper estimates with the Bayesian methods a CES production function for Singapore for 1960-2009. It is found that the elasticity of substitution is 0.6, technical progress is labour augmenting and the steady state growth rate of Singapore is about 1.8%.
|Item Type:||MPRA Paper|
|Original Title:||Estimates of the long-run growth rate of Singapore with a CES production function|
|Keywords:||Bayesian methods, CES production function and Technical progress|
|Subjects:||D - Microeconomics > D2 - Production and Organizations > D24 - Production ; Cost ; Capital ; Capital, Total Factor, and Multifactor Productivity ; Capacity
C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C11 - Bayesian Analysis: General
|Depositing User:||B. Bhaskara Rao|
|Date Deposited:||15. Jun 2011 22:59|
|Last Modified:||22. Feb 2013 15:27|
Chib, S. and Greenberg, E. (1995). Understanding the Metropolis-H astings algorithm, The American Statistician, 49: 327-335.
Gelfand, A. E. and Lee, T.-M. (1993). Discussion of the meeting on the Gibbs sampler and other Markov chain Monte Carlo methods, Journal of the Royal Statistical Society, Series B 55: 72-73.
Gelfand, A. E. and Smith, A. F. M. (1990). Sampling-based approaches to calculating marginal densities, Journal of the American Statistical Association 85: 398-409.
Gelfand, A. E., Smith, A. F. M. and Lee, T.-M. (1992). Bayesian analysis of constrained parameter and trucated data problems using Gibbs sampling, Journal of American Statistical Association 87: 523-532.
Gelman, A. and Rubin, D. B. (1992) Inference from Iterative Simulation Using Multiple Sequences, Statist. Sci. 7: 457-472.
Koop, G. (2003). Bayesian Econometrics, John Wiley and Sons, Hoboken NJ.
Poirier, D. (1995) Intermediate Statistics and Econometrics: A Comparative Approach The MIT Press, Cambridge MA.
Roberts, G.O., Gelman A. and Gilks W.R. (1997) "Weak Convergence and Optimal Scaling of Random Walk Metropolis Algorithms" Annals of Applied Probability 7:110-120.