IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/halshs-02122371.html
   My bibliography  Save this paper

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

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

    (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
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-02122371
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-02122371/document
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    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. 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.
    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. Filip Novokmet & Thomas Piketty & Gabriel Zucman, 2017. "Appendix to "From Soviets to Oligarchs: Inequality and Property in Russia, 1905-2016"," Working Papers halshs-02794397, HAL.
    7. Atkinson, A B, 1987. "On the Measurement of Poverty," Econometrica, Econometric Society, vol. 55(4), pages 749-764, July.
    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. 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.
    10. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. Ravallion, Martin & Chen, Shaohua, 2003. "Measuring pro-poor growth," Economics Letters, Elsevier, vol. 78(1), pages 93-99, January.
    22. 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.
    23. repec:dau:papers:123456789/1906 is not listed on IDEAS
    24. Gastwirth, Joseph L, 1971. "A General Definition of the Lorenz Curve," Econometrica, Econometric Society, vol. 39(6), pages 1037-1039, November.
    25. 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.
    26. 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.
    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. repec:bla:econom:v:50:y:1983:i:197:p:3-17 is not listed on IDEAS
    29. 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.
    30. 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.
    31. 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.
    32. 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).
    33. Son, Hyun Hwa, 2004. "A note on pro-poor growth," Economics Letters, Elsevier, vol. 82(3), pages 307-314, March.
    34. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
    35. repec:hal:pseose:halshs-00754447 is not listed on IDEAS
    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, 2020. "Bayesian Inference for Distributional Changes: The Effect of Western TV on Wage Inequality and Female Participation in Former East Germany," AMSE Working Papers 2027, Aix-Marseille School of Economics, France.
    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. 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.
    4. 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.
    5. 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.
    6. B. Essama‐Nssah & Peter J. Lambert, 2009. "Measuring Pro‐Poorness: A Unifying Approach With New Results," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(3), pages 752-778, September.
    7. Sean Higgins & Nora Lustig, 2015. "Can Poverty-Reducing and Progressive Tax and Transfer System Hurt the Poor?," Commitment to Equity (CEQ) Working Paper Series 1333, Tulane University, Department of Economics.
    8. Higgins, Sean & Lustig, Nora, 2016. "Can a poverty-reducing and progressive tax and transfer system hurt the poor?," Journal of Development Economics, Elsevier, vol. 122(C), pages 63-75.
    9. Chadi, Adrian & Hoffmann, Manuel, 2021. "Television, Health, and Happiness: A Natural Experiment in West Germany," IZA Discussion Papers 14721, Institute of Labor Economics (IZA).
    10. Vito Peragine & Flaviana Palmisano & Paolo Brunori, 2014. "Economic Growth and Equality of Opportunity," The World Bank Economic Review, World Bank, vol. 28(2), pages 247-281.
    11. Florent Bresson & Jean-Yves Duclos & Flaviana Palmisano, 2019. "Intertemporal pro-poorness," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 52(1), pages 65-96, January.
    12. Sami Bibi, 2006. "Growth with Equity is Better for the Poor," Cahiers de recherche 0640, CIRPEE.
    13. Sami Bibi, 2005. "When is Economic Growth Pro-Poor? Evidence from Tunisia," Cahiers de recherche 0522, CIRPEE.
    14. Flaviana Palmisano, 2018. "Evaluating Patterns of Income Growth when Status Matters: A Robust Approach," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(1), pages 147-169, March.
    15. Michael Savage, 2016. "Poorest Made Poorer? Decomposing income losses at the bottom of the income distribution during the Great Recession," Papers WP528, Economic and Social Research Institute (ESRI).
    16. Walter Bossert & Bhaskar Dutta, 2019. "The measurement of welfare change," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 53(4), pages 603-619, December.
    17. Flaviana Palmisano & Vito Peragine, 2015. "The Distributional Incidence of Growth: A Social Welfare Approach," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(3), pages 440-464, September.
    18. Flaviana Palmisano & Dirk Van de gaer, 2016. "History-dependent growth incidence: a characterization and an application to the economic crisis in Italy," Oxford Economic Papers, Oxford University Press, vol. 68(2), pages 585-603.
    19. 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.
    20. Steffen Lohmann, 2015. "Information technologies and subjective well-being: does the Internet raise material aspirations?," Oxford Economic Papers, Oxford University Press, vol. 67(3), pages 740-759.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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-02122371. 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.