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MICHELE BATTISTI

GLOBAL DIVERGENCE IN GROWTH REGRESSIONS

  • Autori: Battisti, M; Di Vaio, G; Zeira, J.
  • Anno di pubblicazione: 2013
  • Tipologia: Articolo in rivista (Articolo in rivista)
  • OA Link: http://hdl.handle.net/10447/85807

Abstract

This paper extends the standard growth regression model by adding an assumption that a country follows the global technology frontier either fully or partially. This additional assumption changes significantly the growth regression model and its results in three main ways. First, it shows that although a country converges to its long-run growth path, this path can diverge from the countries at the global frontier. We measure the degree of divergence for each country and find that most indeed diverge from the frontier. Second, we estimate growth dynamics without controlling for additional variables. Third, our new method enables us to disentangle the effects of the explanatory variables on the long-run rate of growth from the short-run effects.