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Non-structural Analysis of Productivity Growth for the Industrialized Countries: A Jackknife Model Averaging Approach

Author

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  • Isaksson, Anders

    (United National Industrial Development Organization)

  • Shang, Chenjun

    (Freddie Mac)

  • Sickles, Robin C.

    (Rice U)

Abstract

Various structural and non-structural models of productivity growth have been proposed in the literature. In either class of models, predictive measurements of productivity and efficiency are obtained. This paper examines the model averaging approaches of Hansen and Racine (2012), which can provide a vehicle to weight predictions (in the form of productivity and efficiency measurements) from different non-structural methods. We first describe the jackknife model averaging estimator proposed by Hansen and Racine (2012) and illustrate how to apply the technique to a set of competing stochastic frontier estimators. The derived method is then used to analyze productivity and efficiency dynamics in 25 highly-industrialized countries over the period 1990 to 2014. Through the empirical application, we show that the model averaging method provides relatively stable estimates, in comparison to standard model selection methods that simply select one model with the highest measure of goodness of fit.

Suggested Citation

  • Isaksson, Anders & Shang, Chenjun & Sickles, Robin C., 2018. "Non-structural Analysis of Productivity Growth for the Industrialized Countries: A Jackknife Model Averaging Approach," Working Papers 18-012, Rice University, Department of Economics.
    • Handle: RePEc:ecl:riceco:18-012
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    Cited by:

    1. 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: Essays in Honor of Cheng Hsiao, volume 41, pages 217-253, Emerald Group Publishing Limited.
    2. Kok Fong See & Shawna Grosskopf & Vivian Valdmanis & Valentin Zelenyuk, 2021. "What do we know from the vast literature on efficiency and productivity in healthcare? A Systematic Review and Bibliometric Analysis," CEPA Working Papers Series WP072021, School of Economics, University of Queensland, Australia.

    More about this item

    JEL classification:

    • 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
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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