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Growth Empirics: a Bayesian Semiparametric Model With Random Coefficients for a Panel of OECD Countries

In: Essays in Honor of Cheng Hsiao

Author

Listed:
  • Badi H. Baltagi
  • Georges Bresson
  • Jean-Michel Etienne

Abstract

This chapter proposes semiparametric estimation of the relationship between growth rate of GDP per capita, growth rates of physical and human capital, labor as well as other covariates and common trends for a panel of 23 OECD countries observed over the period 1971–2015. The observed differentiated behaviors by country reveal strong heterogeneity. This is the motivation behind using a mixed fixed- and random coefficients model to estimate this relationship. In particular, this chapter uses a semiparametric specification with random intercepts and slopes coefficients. Motivated by Lee and Wand (2016), the authors estimate a mean field variational Bayes semiparametric model with random coefficients for this panel of countries. Results reveal nonparametric specifications for the common trends. The use of this flexible methodology may enrich the empirical growth literature underlining a large diversity of responses across variables and countries.

Suggested Citation

  • Badi H. Baltagi & Georges Bresson & Jean-Michel Etienne, 2020. "Growth Empirics: a Bayesian Semiparametric Model With Random Coefficients for a Panel of OECD Countries," Advances in Econometrics, in: Tong Li & M. Hashem Pesaran & Dek Terrell (ed.), Essays in Honor of Cheng Hsiao, volume 41, pages 217-253, Emerald Publishing Ltd.
  • Handle: RePEc:eme:aecozz:s0731-905320200000041007
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    More about this item

    Keywords

    GDP per capita; growth empirics; mean field variational Bayes approximation; panel data; random coefficients; semiparametric model; C11; C14; C23; O47;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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