IDEAS home Printed from https://ideas.repec.org/p/deg/conpap/c015_020.html
   My bibliography  Save this paper

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 Please do not quote without permission)

Author

Listed:
  • 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.

Suggested Citation

  • Davide Fiaschi & Angela Parenti, 2010. "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 Please do not quote without permission)," DEGIT Conference Papers c015_020, DEGIT, Dynamics, Economic Growth, and International Trade.
  • Handle: RePEc:deg:conpap:c015_020
    as

    Download full text from publisher

    File URL: http://degit.sam.sdu.dk/papers/degit_15/c015_020.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Quah, Danny, 1993. "Empirical cross-section dynamics in economic growth," European Economic Review, Elsevier, vol. 37(2-3), pages 426-434, April.
    2. Nikolay Nenovsky & S. Statev, 2006. "Introduction," Post-Print halshs-00260898, HAL.
    3. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 107(2), pages 407-437.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

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

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:deg:conpap:c015_020. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jan Pedersen). General contact details of provider: http://edirc.repec.org/data/iehhsdk.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.