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Speed and Sequencing of Transition Reforms and Income Inequality: a Panel Data Analysis

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  • David Aristei

    (Department of Economics, Finance and Statistics, University of Perugia)

  • Cristiano Perugini

    (Department of Economics, Finance and Statistics, University of Perugia)

Abstract

An extensive literature has analysed the economic effects of transition patterns in Central and Eastern European and former Soviet Union countries. With few recent exceptions, analysis of the impacts of speed and sequencing of reforms has not concerned the dynamics of income inequality. In this paper we analyse the heterogeneous effects of transition reforms on inequality by explicitly considering their speed and sequencing. To this aim we identify seven transition models in which the 27 countries considered can be classified. The dynamic panel econometric analysis for the period 1989–2006 reveals that balanced transition patterns, which favoured a coordination of reforms especially in specific fields, were relatively less pro-inequality.

Suggested Citation

  • David Aristei & Cristiano Perugini, 2011. "Speed and Sequencing of Transition Reforms and Income Inequality: a Panel Data Analysis," Working Papers 302, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    • Handle: RePEc:ost:wpaper:302
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    2. Florian Dorn & Clemens Fuest & Niklas Potrafke, 2017. "Globalisation and Income Inequality Revisited," European Economy - Discussion Papers 056, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    3. Magda, Iga & Gromadzki, Jan & Moriconi, Simone, 2021. "Firms and wage inequality in Central and Eastern Europe," Journal of Comparative Economics, Elsevier, vol. 49(2), pages 499-552.
    4. Florian Dorn & Clemens Fuest & Niklas Potrafke, 2022. "Trade openness and income inequality: New empirical evidence," Economic Inquiry, Western Economic Association International, vol. 60(1), pages 202-223, January.
    5. Joanna Tyrowicz & Magdalena Smyk, 2019. "Wage Inequality and Structural Change," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(2), pages 503-538, January.
    6. Jens Holscher & Cristiano Perugini & Fabrizio Pompei, 2011. "Wage inequality, labour market flexibility and duality in Eastern and Western Europe," Post-Communist Economies, Taylor & Francis Journals, vol. 23(3), pages 271-310.
    7. Barhoom Faeyzh, 2023. "Revisiting the Financial Development and Income Inequality Nexus: Evidence from Hungary," Acta Universitatis Sapientiae, Economics and Business, Sciendo, vol. 11(1), pages 227-257, October.
    8. Jürgen Jerger, 2012. "Zur Akzeptanz politischer und marktwirtschaftlicher Reformen in Osteuropa: Empirische Befunde und Erklärungsansätze," Working Papers 315, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    9. Tomáš Domonkos & Filip Ostrihoň & Brian König, 2021. "Hurdling through the great recession: winners and losers among post-communist EU countries in pro-poor growth," Empirical Economics, Springer, vol. 60(2), pages 893-918, February.
    10. Brzezinski, Michal, 2018. "Income inequality and the Great Recession in Central and Eastern Europe," Economic Systems, Elsevier, vol. 42(2), pages 219-247.
    11. Michał Brzeziński & Katarzyna Sałach & Marcin Wroński, 2020. "Wealth inequality in Central and Eastern Europe: Evidence from household survey and rich lists’ data combined," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 28(4), pages 637-660, October.
    12. Michal Brzezinski & Katarzyna Salach, 2022. "Determinants of inequality in transition countries," IZA World of Labor, Institute of Labor Economics (IZA), pages 496-496, June.
    13. Michal Brzezinski & Katarzyna Sałach & Marcin Wroński, 2019. "Wealth inequality in Central and Eastern Europe: evidence from joined household survey and rich lists’ data," Working Papers 2019-09, Faculty of Economic Sciences, University of Warsaw.

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    More about this item

    Keywords

    Inequality; Transition; Reform speed and sequencing; Dynamic panel models;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • P21 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Planning, Coordination, and Reform
    • P36 - Political Economy and Comparative Economic Systems - - Socialist Institutions and Their Transitions - - - Consumer Economics; Health; Education and Training; Welfare, Income, Wealth, and Poverty

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