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The evolution of earnings inequality in Romania

Author

Listed:
  • Maria Denisa VASILESCU

    (National Scientific Research Institute for Labour and Social Protection,Bucharest,Academy of Economic Studies)

  • Larisa STANILA

    (National Scientific Research Institute for Labour and Social Protection,Bucharest,Academy of Economic Studies)

  • Amalia CRISTESCU

    (National Scientific Research Institute for Labour and Social Protection,Bucharest Academy of Economic Studies)

Abstract

In this paper we investigated the earnings inequalities in Romania. Our approach starts with a statistical analysis regarding the Gini index among several personal characteristics (level of education, seniority, economic activity), for males and females and for the major groups of occupation. Second, we estimated two panel data models corresponding to each gender, aiming at observing different influences upon gross monthly earnings at industry level. We included in the analysis the turnover and the employees by educational attainment level for each gender and obtained that the variables considered have a positive impact on earnings, but with different intensities.

Suggested Citation

  • Maria Denisa VASILESCU & Larisa STANILA & Amalia CRISTESCU, 2014. "The evolution of earnings inequality in Romania," Romanian Journal of Economics, Institute of National Economy, vol. 39(2(48)), pages 88-99, December.
    • Handle: RePEc:ine:journl:v:39:y:2014:i:48:p:88-99
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    References listed on IDEAS

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    1. repec:agr:journl:v:1(590):y:2014:i:1(590):p:27-36 is not listed on IDEAS
    2. Mark B. Stewart, 2012. "Wage inequality, minimum wage effects, and spillovers," Oxford Economic Papers, Oxford University Press, vol. 64(4), pages 616-634, October.
    3. Amalia CRISTESCU & Larisa STANILĂ, 2014. "Earnings analysis at industry level," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(590)), pages 27-36, January.
    4. Gastwirth, Joseph L & Glauberman, Marcia, 1976. "The Interpolation of the Lorenz Curve and Gini Index from Grouped Data," Econometrica, Econometric Society, vol. 44(3), pages 479-483, May.
    5. Kakwani, N C & Podder, N, 1973. "On the Estimation of Lorenz Curves from Grouped Observations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(2), pages 278-292, June.
    6. George Psacharopoulos & Harry Anthony Patrinos, 2004. "Returns to investment in education: a further update," Education Economics, Taylor & Francis Journals, vol. 12(2), pages 111-134.
    7. repec:bla:etrans:v:15:y:2007:i::p:733-758 is not listed on IDEAS
    8. Trostel, Philip & Walker, Ian & Woolley, Paul, 2002. "Estimates of the economic return to schooling for 28 countries," Labour Economics, Elsevier, vol. 9(1), pages 1-16, February.
    9. Ogwang, Tomson & Gouranga Rao, U. L., 1996. "A new functional form for approximating the Lorenz curve," Economics Letters, Elsevier, vol. 52(1), pages 21-29, July.
    10. Elias Karagiannis & Milorad Kovacevic', 2000. "A Method to Calculate the Jackknife Variance Estimator For the Gini Coefficient," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 62(1), pages 119-122, February.
    11. Santiago Budría & Pedro Telhado-Pereira, 2011. "Educational Qualifications And Wage Inequality: Evidence For Europe," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 19(2), pages 5-34, Autumn.
    12. Newell, Andrew T. & Socha, Mieczyslaw, 2007. "The Polish Wage Inequality Explosion," IZA Discussion Papers 2644, Institute of Labor Economics (IZA).
    13. repec:bla:obuest:v:62:y:2000:i:1:p:119-22 is not listed on IDEAS
    14. Wodon, Quentin & Yitzhaki, Shlomo, 2003. "The effect of using grouped data on the estimation of the Gini income elasticity," Economics Letters, Elsevier, vol. 78(2), pages 153-159, February.
    15. Larisa APARASCHIVEI & Maria Denisa VASILESCU & Nicolae CĂTĂNICIU, 2011. "The Impact of Investments and Gross Value Added upon Earnings," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(555)), pages 207-218, February.
    16. Mario Izquierdo & Aitor Lacuesta, 2006. "Wage inequality in Spain: recent developments," Working Papers 0615, Banco de España.
    17. Madalina Ecaterina Andreica & Nicolae Cataniciu & Mugurel Ionut Andreica, 2009. "Econometric and Neural Network Analysis of the Labor Productivity and Average Gross Earnings Indices in the Romanian Industry," Post-Print hal-00768783, HAL.
    18. Campano, Fred & Salvatore, Dominick, 2006. "Income Distribution," OUP Catalogue, Oxford University Press, number 9780195300918.
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    Cited by:

    1. Eva Militaru & Madalina Ecaterina Popescu & Amalia Cristescu & Maria Denisa Vasilescu, 2019. "Assessing Minimum Wage Policy Implications upon Income Inequalities. The Case of Romania," Sustainability, MDPI, vol. 11(9), pages 1-20, May.

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    More about this item

    Keywords

    Gini index; wage distribution; inequalities; gender differences;
    All these keywords.

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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