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Age-structured Human Capital and Spatial Total Factor Productivity Dynamics

Author

Listed:
  • Mishra, Tapas

    (World Population Program, International Institute for Applied Systems Analysis, Laxenburg, Austria)

  • Jumah, Adusei

    (Department of Economics and Finance, Institute for Advanced Studies, Vienna, Austria, and Department of Economics, University of Vienna, Vienna, Austria)

  • Parhi, Mamata

    (BETA, Louis-Pasteur University, Strasbourg, France)

Abstract

This paper models total factor productivity (TFP) in space and proposes an empirical model for TFP interdependence across spatial locations. The interdependence is assumed to occur due to age-structured human capital dynamics. A semi-parametric spatial vector autoregressive framework is suggested for modeling spatial TFP dynamics where the role of demographic state and technological change are explicitly incorporated in the model to influence their spatial TFP co-movements. Empirical scrutiny in case of Asian countries suggests that cross-country human capital differences in their accumulation and appropriation pattern significantly influenced TFP volatility interdependence. The finding of complementarity in TFP in spatial locations calls for joint policy program for improving aggregate and individual country welfare.

Suggested Citation

  • Mishra, Tapas & Jumah, Adusei & Parhi, Mamata, 2008. "Age-structured Human Capital and Spatial Total Factor Productivity Dynamics," Economics Series 226, Institute for Advanced Studies.
    • Handle: RePEc:ihs:ihsesp:226
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    File URL: https://irihs.ihs.ac.at/id/eprint/1860
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    References listed on IDEAS

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    1. Claude Diebolt & Tapas Mishra & Bazoumana Ouattara & Mamata Parhi, 2010. "Does democratic distance matter for cross-country growth interdependence?," Working Papers 10-12, Association Française de Cliométrie (AFC).

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    More about this item

    Keywords

    Total factor productivity; Spatial growth; Non-linearity; Human capital; Age-structure; Semi-parametric VAR;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
    • N10 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - General, International, or Comparative
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • 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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