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Bayesian analysis of growth using stochastic frontier model


  • Arkadiusz Wisniowski

    () (Warsaw School of Economics)


We employ Bayesian approach to the analysis of economic growth in Poland. The results of estimation of a stochastic frontier model applied to production function of Polish voivodships in 2000 - 2004 are presented. Stochastic frontier approach allows to decompose growth into technological change, input change and efficiency change. In order to compute the posterior characteristics of the growth components we employ the Gibbs MCMC sampler.

Suggested Citation

  • Arkadiusz Wisniowski, 2008. "Bayesian analysis of growth using stochastic frontier model," Working Papers 23, Department of Applied Econometrics, Warsaw School of Economics.
  • Handle: RePEc:wse:wpaper:23

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    References listed on IDEAS

    1. Arnaud Mehl, 2009. "The Yield Curve as a Predictor and Emerging Economies," Open Economies Review, Springer, vol. 20(5), pages 683-716, November.
    2. Balvers, Ronald J. & Huang, Dayong, 2007. "Productivity-based asset pricing: Theory and evidence," Journal of Financial Economics, Elsevier, vol. 86(2), pages 405-445, November.
    3. Campbell R. Harvey, 1997. "The Relation between the Term Structure of Interest Rates and Canadian Economic Growth," Canadian Journal of Economics, Canadian Economics Association, vol. 30(1), pages 169-193, February.
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    More about this item


    Bayesian analysis; Gibbs sampler; economic growth; stochastic frontier analysis;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • O49 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Other

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