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The Determinants of Distribution Dynamics: A Novel Methodology with an Application to the Cross-Country Distribution of Productivity Preliminary version. Please do not quote without permission)

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  • Davide Fiaschi
  • Angela Parenti

Abstract

In this paper we present a novel methodology for estimating the determinants of distribution dynamics and discuss an application to the distribution dynamics of (labour) productivity across a large sample of countries. We perform a Monte Carlo study of methodology taking as base Mankiw et al. (1992)’s model. We finally apply the methodology to a sample of 84 countries for the period 1960-2006. The level of output per worker in 1960 strongly contributed to reduce inequality. All the other variables (unexplained source of high-productivity, human capital, investment rate, employment growth) positively contributed (in decreasing order of importance) to inequality. Both the unexplained source of high-productivity and the level of output per worker in 1960 increased polarization. Also investment rate favoured polarization, but the such effect appears not statistically significant. Finally human capital and employment growth appear not to affect the polarization of distribution.

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Bibliographic Info

Paper provided by DEGIT, Dynamics, Economic Growth, and International Trade in its series DEGIT Conference Papers with number c015_020.

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Length: 45 pages
Date of creation: Sep 2010
Date of revision:
Handle: RePEc:deg:conpap:c015_020

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Related research

Keywords: convergence; inequality; distribution dynamics; polarization; nonparametric methods.;

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  1. Danny Quah, 1992. "Empirical Cross-Section Dynamics in Economic Growth," FMG Discussion Papers dp154, Financial Markets Group.
  2. N. Gregory Mankiw & David Romer & David N. Weil, 1990. "A Contribution to the Empirics of Economic Growth," NBER Working Papers 3541, National Bureau of Economic Research, Inc.
  3. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
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