IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/halshs-02909932.html
   My bibliography  Save this paper

Bayesian Inference for Distributional Changes: The Effect of Western TV on Wage Inequality and Female Participation in Former East Germany

Author

Listed:
  • Edwin Fourrier-Nicolai

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Michel Lubrano

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique, School of Economics, Jiangxi University of Finance and Economics)

Abstract

This paper investigates the evolution of wage formation in a Mincer model with sample selection for which we develop Bayesian inference and growth incidence and poverty growth curves. We estimate the effect of an exogenous exposure to Western TV broadcasts on labour market participation and wage inequality in East Germany after the German reunification. Using the GSOEP, we find evidences that Western television had significantly increased wage inequality among males while it has significantly affected female labour participation and led the less productive females to drop out from the market, hiding thus a large increase in wage inequality among females.

Suggested Citation

  • Edwin Fourrier-Nicolai & Michel Lubrano, 2020. "Bayesian Inference for Distributional Changes: The Effect of Western TV on Wage Inequality and Female Participation in Former East Germany," Working Papers halshs-02909932, HAL.
  • Handle: RePEc:hal:wpaper:halshs-02909932
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-02909932
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-02909932/document
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. DiNardo, John & Fortin, Nicole M & Lemieux, Thomas, 1996. "Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach," Econometrica, Econometric Society, vol. 64(5), pages 1001-1044, September.
    2. Lucas Chancel & Thomas Piketty, 2019. "Indian Income Inequality, 1922‐2015: From British Raj to Billionaire Raj?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(S1), pages 33-62, November.
    3. AndrewE. Clark & Claudia Senik, 2010. "Who Compares to Whom? The Anatomy of Income Comparisons in Europe," Economic Journal, Royal Economic Society, vol. 120(544), pages 573-594, May.
    4. Filip Novokmet & Thomas Piketty & Gabriel Zucman, 2018. "From Soviets to oligarchs: inequality and property in Russia 1905-2016," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(2), pages 189-223, June.
    5. Stutzer, Alois, 2004. "The role of income aspirations in individual happiness," Journal of Economic Behavior & Organization, Elsevier, vol. 54(1), pages 89-109, May.
    6. Atkinson, A B, 1987. "On the Measurement of Poverty," Econometrica, Econometric Society, vol. 55(4), pages 749-764, July.
    7. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    8. Alberto Chong & Eliana La Ferrara, 2009. "Television and Divorce: Evidence from Brazilian Novelas," Journal of the European Economic Association, MIT Press, vol. 7(2-3), pages 458-468, 04-05.
    9. Filip Novokmet & Thomas Piketty & Gabriel Zucman, 2017. "Appendix to "From Soviets to Oligarchs: Inequality and Property in Russia, 1905-2016"," World Inequality Lab Working Papers halshs-02794397, HAL.
    10. Hyll, Walter & Schneider, Lutz, 2013. "The causal effect of watching TV on material aspirations: Evidence from the “valley of the innocent”," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 37-51.
    11. Stephen G. Donald & David A. Green & Harry J. Paarsch, 2000. "Differences in Wage Distributions Between Canada and the United States: An Application of a Flexible Estimator of Distribution Functions in the Presence of Covariates," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 67(4), pages 609-633.
    12. Erzo F. P. Luttmer, 2005. "Neighbors as Negatives: Relative Earnings and Well-Being," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(3), pages 963-1002.
    13. Manuel Arellano & Stéphane Bonhomme, 2017. "Quantile Selection Models With an Application to Understanding Changes in Wage Inequality," Econometrica, Econometric Society, vol. 85, pages 1-28, January.
    14. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, July.
    15. Ravallion, Martin & Chen, Shaohua, 2003. "Measuring pro-poor growth," Economics Letters, Elsevier, vol. 78(1), pages 93-99, January.
    16. Russell Davidson & Jean-Yves Duclos, 2000. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," Econometrica, Econometric Society, vol. 68(6), pages 1435-1464, November.
    17. Leonardo Bursztyn & Davide Cantoni, 2016. "Tear in the Iron Curtain: The Impact of Western Television on Consumption Behavior," The Review of Economics and Statistics, MIT Press, vol. 98(1), pages 25-41, March.
    18. repec:dau:papers:123456789/1906 is not listed on IDEAS
    19. Abdelkrim Araar & Jean‐Yves Duclos & Mathieu Audet & Paul Makdissi, 2009. "Testing For Pro‐Poorness Of Growth, With An Application To Mexico," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(4), pages 853-881, December.
    20. Gastwirth, Joseph L, 1971. "A General Definition of the Lorenz Curve," Econometrica, Econometric Society, vol. 39(6), pages 1037-1039, November.
    21. Christoph Lakner & Branko Milanovic, 2016. "Global Income Distribution: From the Fall of the Berlin Wall to the Great Recession," The World Bank Economic Review, World Bank, vol. 30(2), pages 203-232.
    22. Knight, John & Gunatilaka, Ramani, 2012. "Income, aspirations and the Hedonic Treadmill in a poor society," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 67-81.
    23. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-442, June.
    24. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    25. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    26. Alberto Chong & Eliana La Ferrara, 2009. "Television and Divorce: Evidence from Brazilian Novelas," Journal of the European Economic Association, MIT Press, vol. 7(2-3), pages 458-468, 04-05.
    27. Piketty, Thomas & Chancel, Lucas, 2017. "Indian income inequality, 1922-2014: From British Raj to Billionaire Raj ?," CEPR Discussion Papers 12409, C.E.P.R. Discussion Papers.
    28. Shorrocks, Anthony F, 1983. "Ranking Income Distributions," Economica, London School of Economics and Political Science, vol. 50(197), pages 3-17, February.
    29. Francisco H.G. Ferreira & Sergio Firpo & Antonio F. Galvao, 2019. "Actual and counterfactual growth incidence and delta Lorenz curves: Estimation and inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(3), pages 385-402, April.
    30. Son, Hyun Hwa, 2004. "A note on pro-poor growth," Economics Letters, Elsevier, vol. 82(3), pages 307-314, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Edwin Fourrier-Nicolai & Michel Lubrano, 2019. "The Effect of Aspirations on Inequality: Evidence from the German Reunification using Bayesian Growth Incidence Curves," Working Papers halshs-02122371, HAL.
    2. Edwin Fourrier-Nicolaï & Michel Lubrano, 2021. "Bayesian Inference for Parametric Growth Incidence Curves," Research on Economic Inequality, in: Research on Economic Inequality: Poverty, Inequality and Shocks, volume 29, pages 31-55, Emerald Group Publishing Limited.
    3. Coral Río & Carlos Gradín & Olga Cantó, 2011. "The measurement of gender wage discrimination: the distributional approach revisited," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(1), pages 57-86, March.
    4. Hyll, Walter & Schneider, Lutz, 2013. "The causal effect of watching TV on material aspirations: Evidence from the “valley of the innocent”," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 37-51.
    5. François Bourguignon & Francisco Ferreira & Phillippe Leite, 2008. "Beyond Oaxaca–Blinder: Accounting for differences in household income distributions," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(2), pages 117-148, June.
    6. Tomasz Panek, 2019. "Czy wzrost gospodarczy w Polsce w latach 2005 -2015 był korzystny dla ubogich?," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 5-39.
    7. Tomasz Panek, 2018. "Wzrost sprzyjaj¹cy ubogim: koncepcje i pomiar dla polski w latach 2005-2015," Working Papers 80, Institute of Statistics and Demography, Warsaw School of Economics.
    8. Ferreira , Francisco H. G., 2010. "Distributions in motion: economic growth, inequality, and poverty dynamics," Policy Research Working Paper Series 5424, The World Bank.
    9. Facundo Alvaredo & Lydia Assouad & Thomas Piketty, 2019. "Measuring lnequality in the Middle East 1990–2016: The World’s Most Unequal Region?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(4), pages 685-711, December.
    10. Idrisov, Georgiy (Идрисов, Георгий) & Taganov, B.V. (Таганов, Б.), 2016. "Research of the Effect of Growth of Openness of the Russian Economy on Income Inequality in Russia [Исследование Влияния Роста Открытости Российской Экономики На Неравенство Доходов Населения В Рос," Working Papers 3136, Russian Presidential Academy of National Economy and Public Administration.
    11. Jacqueline Mosomi, 2019. "Distributional changes in the gender wage gap in the post-apartheid South African labour market," WIDER Working Paper Series wp-2019-17, World Institute for Development Economic Research (UNU-WIDER).
    12. Nora Lustig, 2019. "The “Missing Rich” in Household Surveys: Causes and Correction Approaches," Commitment to Equity (CEQ) Working Paper Series 75, Tulane University, Department of Economics.
    13. Daniel Sotelsek-Salem & Ismael Ahamdanech-Zarco & John Bishop, 2012. "Dominance testing for ‘pro-poor’ growth with an application to European growth," Empirical Economics, Springer, vol. 43(2), pages 723-739, October.
    14. Ken Yamada & Daiji Kawaguchi, 2015. "The changing and unchanged nature of inequality and seniority in Japan," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(1), pages 129-153, March.
    15. Piketty, Thomas & Alvaredo, Facundo & Assouad, Lydia, 2017. "Measuring inequality in the Middle East 1990-2016: The World’s Most Unequal Region?," CEPR Discussion Papers 12405, C.E.P.R. Discussion Papers.
    16. Gurleen Popli & Okan Yılmaz, 2017. "Educational Attainment and Wage Inequality in Turkey," LABOUR, CEIS, vol. 31(1), pages 73-104, March.
    17. Ken Yamada & Daiji Kawaguchi, 2012. "Changing Unchanged Inequality: Higher Education, Youth Population, and the Japan's Seniority Wages," Global COE Hi-Stat Discussion Paper Series gd12-243, Institute of Economic Research, Hitotsubashi University.
    18. Nora Lustig, 2020. "The ``missing rich'' in household surveys: causes and correction approaches," Working Papers 520, ECINEQ, Society for the Study of Economic Inequality.
    19. Coral del Río Otero & Carlos Gradín Lago & Olga Cantó Sánchez, 2004. "El enfoque distributivo en el análisis de la discriminación salarial por razón de género," Working Papers 0405, Universidade de Vigo, Departamento de Economía Aplicada.
    20. Francisco Azpitarte, 2014. "Was Pro-Poor Economic Growth in Australia for the Income-Poor? And for the Multidimensionally-Poor?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 117(3), pages 871-905, July.

    More about this item

    Keywords

    Bayesian inference; Labour market; Distributional changes; Sample selection; Wage inequality;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

    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:hal:wpaper:halshs-02909932. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.