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A Bayesian Analysis of Total Factor Productivity Persistence

Author

Listed:
  • Tapas Mishra
  • Claude Diebolt
  • Mamata Parhi
  • Asit Ranjan Mohanty

Abstract

This paper endeavors to study Spanish protectionism on the Italian mirror. On the assumption that the literature presents both European peripheral countries at a similar stage of development and commercial policy replies to late 19th century economic globalization. Italian tariff policy was much more moderate and influenced by fiscal duties than the Spanish one that enjoined a very high tariffs on the manufacture sector. This paper present by first time a unified data base of effective protection and revealed comparative advantage for both countries and develop a new test based on the infant industry argument. Conclusions emphasize the existence of significant different tariff policies in Spain and Italy between 1870-1930 as a relevant variable in the configuration their respective export manufacture competitiveness and specialization in the long run.

Suggested Citation

  • Tapas Mishra & Claude Diebolt & Mamata Parhi & Asit Ranjan Mohanty, 2010. "A Bayesian Analysis of Total Factor Productivity Persistence," Historical Social Research (Section 'Cliometrics'), Association Française de Cliométrie (AFC), vol. 35(1), pages 363-372.
    • Handle: RePEc:afc:histor:v:35:y:2010:i:1:p:363-372
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    References listed on IDEAS

    as
    1. Jean-Luc Demeulemeester & Claude Diebolt, 2011. "Education and Growth: What Links for Which Policy?," Historical Social Research (Section 'Cliometrics'), Association Française de Cliométrie (AFC), vol. 36(4), pages 323-346.
    2. Sims, Christopher A., 1988. "Bayesian skepticism on unit root econometrics," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 463-474.
    3. David Le Bris, 2009. "The French Stock Market in War," Working Papers 09-01, Association Française de Cliométrie (AFC).
    4. Steven N. Durlauf, 1989. "Output Persistence, Economic Structure, and the Choice of Stabilization Policy," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 20(2), pages 69-136.
    5. Schotman, Peter & van Dijk, Herman K., 1991. "A Bayesian analysis of the unit root in real exchange rates," Journal of Econometrics, Elsevier, vol. 49(1-2), pages 195-238.
    6. Sims, Christopher A & Uhlig, Harald, 1991. "Understanding Unit Rooters: A Helicopter Tour," Econometrica, Econometric Society, vol. 59(6), pages 1591-1599, November.
    7. Koop, G, 1992. "Aggregate Shocks and Macroeconomic Fluctuations: A Bayesian Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(4), pages 395-411, Oct.-Dec..
    8. David Le Bris & Pierre-Cyrille Hautcoeur, 2009. "A Challenge to Triumphant Optimists? A New Index for the Paris Stock-Exchange (1854-2007)," Working Papers 09-02, Association Française de Cliométrie (AFC).
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    More about this item

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space 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
    • O55 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Africa

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