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What the Keynesian theory said about Portugal?

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  • Martinho, Vítor João Pereira Domingues

Abstract

With this work it is intended to analyze the contributions of the Keynesian theory to the explanation of the regional evolution in Portugal. Considering the Keynesian models in different perspectives and taking into account the Verdoorn (1949) relationship it is did data and econometric analysis for the Portuguese economy in the period from 1995 to 1999. There are not many or none works based in the Keynesian theory and in the Verdoorn relationship for Portugal, namely at regional level. On the other hand the models based in this theory are regularly used to explain the regional economic growth in many countries. So, it is thought that analyze the economic Portuguese context with this theory is an important contribution to the economic theory and to the Portuguese understanding. As main conclusion it can be said that the Keynesian theory show for Portugal, in this period, regional and sectoral divergence.

Suggested Citation

  • Martinho, Vítor João Pereira Domingues, 2012. "What the Keynesian theory said about Portugal?," EconStor Preprints 59007, ZBW - German National Library of Economics.
  • Handle: RePEc:zbw:esprep:59007
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    Cited by:

    1. Martinho, Vítor João Pereira Domingues, 2011. "What said the economic theory about Portugal. Another approach," MPRA Paper 33022, University Library of Munich, Germany.
    2. Martinho, Vítor João Pereira Domingues, 2011. "Application of keynesian theory and new economic geography in Portugal. Differences and similarities," MPRA Paper 32911, University Library of Munich, Germany.

    More about this item

    Keywords

    Keynesian theory; Verdoorn law; Portuguese regions;

    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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