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The Effect of Aspirations on Inequality: Evidence from the German Reunification using Bayesian Growth Incidence Curves

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  • 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

    (School of Economics, Jiangxi University, 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)

Abstract

A long-standing literature has investigated the formation of aspirations and how they shape human behaviours but a recent interest has been devoted on the interplay between aspirations and inequality. Because aspirations are socially determined, household investment decisions tend to be reproduced according to the social context which fosters inequality to persist. We empirically examine the role of aspirations on inequality using a natural experiment. We exploit an exogenous variation of social aspirations determined by the exposure to Western German TV broadcasts in the GDR before the reunification. We measure the treatment effect on wage inequality by comparing inequality changes between the treatment and the control regions after reunification. We use an heteroskedastic parametric model for income with a treatment effect and sample selection into the labour market. We derive analytical formulae for the growth incidence curve of Ravallion and Chen (2003) and poverty growth curve of Son (2004) for the log-normal distribution. Based on those curves, we provide Bayesian inference and a set of tests related to stochastic dominance criteria. We find evidences that aspirations-through exposure to Western German broadcasts-have significantly affected inequality. We find that this effect was detrimental in terms of inequality and poverty. However, we cannot conclude about the persistence of the effect after 1995.

Suggested Citation

  • 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.
  • Handle: RePEc:hal:wpaper:halshs-02122371
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    1. 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.
    2. Stephen P. Jenkins & Philippe Van Kerm, 2006. "Trends in income inequality, pro-poor income growth, and income mobility," Oxford Economic Papers, Oxford University Press, vol. 58(3), pages 531-548, July.
    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. François Bourguignon, 2011. "Non-anonymous growth incidence curves, income mobility and social welfare dominance," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(4), pages 605-627, December.
    9. Robert Jensen & Emily Oster, 2009. "The Power of TV: Cable Television and Women's Status in India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(3), pages 1057-1094.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Frey, Bruno S. & Benesch, Christine & Stutzer, Alois, 2007. "Does watching TV make us happy?," Journal of Economic Psychology, Elsevier, vol. 28(3), pages 283-313, June.
    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. Edwin Fourrier-Nicolaï & Michel Lubrano, 2020. "Bayesian inference for TIP curves: an application to child poverty in Germany," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(1), pages 91-111, March.
    22. Friehe, Tim & Müller, Helge & Neumeier, Florian, 2018. "The effect of Western TV on crime: Evidence from East Germany," European Journal of Political Economy, Elsevier, vol. 55(C), pages 346-372.
    23. 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.
    24. Patrick Puhani, 2000. "The Heckman Correction for Sample Selection and Its Critique," Journal of Economic Surveys, Wiley Blackwell, vol. 14(1), pages 53-68, February.
    25. Gordon Anderson & Maria Pittau & Roberto Zelli, 2014. "Poverty status probability: a new approach to measuring poverty and the progress of the poor," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(4), pages 469-488, December.
    26. 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.
    27. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
    28. Michael Grimm, 2007. "Removing the anonymity axiom in assessing pro-poor growth," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 5(2), pages 179-197, August.
    29. 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.
    30. 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.
    31. 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.
    32. Shorrocks, Anthony F, 1983. "Ranking Income Distributions," Economica, London School of Economics and Political Science, vol. 50(197), pages 3-17, February.
    33. Peter Bönisch & Walter Hyll, 2015. "Television Role Models and Fertility: Evidence from a Natural Experiment," SOEPpapers on Multidisciplinary Panel Data Research 752, DIW Berlin, The German Socio-Economic Panel (SOEP).
    34. Son, Hyun Hwa, 2004. "A note on pro-poor growth," Economics Letters, Elsevier, vol. 82(3), pages 307-314, March.
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    More about this item

    Keywords

    inequality; social aspirations; Bayesian inference; treatment effect;
    All these keywords.

    JEL classification:

    • 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
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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