IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp14870.html
   My bibliography  Save this paper

Time, Income and Subjective Well-Being - 20 Years of Interdependent Multidimensional Polarization in Germany

Author

Listed:
  • Merz, Joachim

    (Leuphana University Lüneburg)

  • Scherg, Bettina

    (Leuphana University Lüneburg)

Abstract

Society drifts apart in many dimensions. Economists focus on income of the poor and rich and the distribution of income but a broader spectrum of dimensions is required to draw the picture of multiple facets of individual life. In our study of multidimensional polarization we extend the income dimension by time, a pre-requisite and fundamental resource of any individual activity. In particular, we consider genuine personal time as a pronounced source of social participation in the sense of social inclusion/exclusion and Amartya Sen's capability approach. With an interdependence approach to multidimensional polarization we allow compensation between time and income, parameters of a CES-type subjective well-being function, where a possible substitution is evaluated empirically by the German population instead of arbitrarily chosen. Beyond subjective well-being indices we propose and apply a new intensity/gap measure to multidimensional polarization, the mean minimum polarization gap 2DGAP. This polarization intensity measure provides transparency with regard to each single attribute, which is important for targeted policies, while at the same time their interdependent relations is respected. The empirical investigation of interdependent multidimensional polarization incidence and intensity uses the German Socio-Economic Panel (GSOEP) and detailed time use diary data from the three German Time Use Surveys (GTUS) 1991/92, 2001/02 and the actual 2012/13. We focus on the working individuals where the working poor requires increasing interest in the economic and social political discussion. The microeconometric two-stage selectivity corrected estimation of interdependent multidimensional risk (incidence) and intensity quantifies socio-economic factors behind. Four striking results appear: First, genuine personal leisure time additional to income is a significant subjective well-being and polarization dimension. Second, its interdependence, its compensation/substitution, evaluated by the German Society, is of economic and statistical significance. Remarkably, besides compensation regimes, there are interdependent multidimensional polarization regimes where even higher income cannot compensate time deficits. Third, interdependent multidimensional polarization incidence (headcount ratio) decreased over those 20 years in Germany, however and in particular, as shown by the new minimum 2DGAP approach, interdependent multidimensional polarization intensity increased over those 20 years in Germany. Fourth, there are different multidimensional polarization results and developments for the poverty and affluence poles and regimes, for fulltime selfemployed, employees and subsequently for further socio-economic groups. And, polarization also appears with respect to social participation.

Suggested Citation

  • Merz, Joachim & Scherg, Bettina, 2021. "Time, Income and Subjective Well-Being - 20 Years of Interdependent Multidimensional Polarization in Germany," IZA Discussion Papers 14870, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp14870
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp14870.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Andreas Peichl & Thilo Schaefer & Christoph Scheicher, 2010. "Measuring Richness And Poverty: A Micro Data Application To Europe And Germany," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(3), pages 597-619, September.
    2. Joan Esteban & Carlos Gradín & Debraj Ray, 2007. "An Extension of a Measure of Polarization, with an application to the income distribution of five OECD countries," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 5(1), pages 1-19, April.
    3. Maria Ana Lugo & Esfandiar Maasoumi, 2008. "Multidimensional Poverty Measures from an Information Theory Perspective," Working Papers 85, ECINEQ, Society for the Study of Economic Inequality.
    4. Tania Burchardt, 2008. "Time and Income Poverty," CASE Reports casereport57, Centre for Analysis of Social Exclusion, LSE.
    5. Ada Ferrer-i-Carbonell & Xavier Ramos, 2014. "Inequality And Happiness," Journal of Economic Surveys, Wiley Blackwell, vol. 28(5), pages 1016-1027, December.
    6. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    7. Andrew E. Clark & Paul Frijters & Michael A. Shields, 2008. "Relative Income, Happiness, and Utility: An Explanation for the Easterlin Paradox and Other Puzzles," Journal of Economic Literature, American Economic Association, vol. 46(1), pages 95-144, March.
    8. Michael Bittman, 1999. "Social Participation and Family Welfare: The Money and Time Costs of Leisure," Discussion Papers 0095, University of New South Wales, Social Policy Research Centre.
    9. Joachim Merz & Tim Rathjen, 2016. "Entrepreneurs and Freelancers: Are They Time and Income Multidimensional Poor? - The German Case," FFB-Discussionpaper 102, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    10. Joachim Merz & Tim Rathjen, 2014. "Time And Income Poverty: An Interdependent Multidimensional Poverty Approach With German Time Use Diary Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(3), pages 450-479, September.
    11. Joachim Merz & Bettina Scherg, 2014. "Polarization of Time and Income – A Multidimensional Analysis for Germany," Research on Economic Inequality, in: Economic Well-Being and Inequality: Papers from the Fifth ECINEQ Meeting, volume 22, pages 273-321, Emerald Group Publishing Limited.
    12. Andreas Peichl & Nico Pestel, 2013. "Multidimensional affluence: theory and applications to Germany and the US," Applied Economics, Taylor & Francis Journals, vol. 45(32), pages 4591-4601, November.
    13. Esteban, Joan & Ray, Debraj, 1994. "On the Measurement of Polarization," Econometrica, Econometric Society, vol. 62(4), pages 819-851, July.
    14. Bruno Frey & Alois Stutzer, 2005. "Happiness Research: State and Prospects," Review of Social Economy, Taylor & Francis Journals, vol. 63(2), pages 207-228.
    15. Andrew G. Berg & Jonathan D. Ostry, 2017. "Inequality and Unsustainable Growth: Two Sides of the Same Coin?," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 65(4), pages 792-815, November.
    16. Walter Bossert & Satya R. Chakravarty & Conchita D’Ambrosio, 2019. "Multidimensional Poverty and Material Deprivation with Discrete Data," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 191-209, Springer.
    17. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    18. Satya R. Chakravarty & Jacques Silber, 2008. "Measuring Multidimensional Poverty: The Axiomatic Approach," Palgrave Macmillan Books, in: Nanak Kakwani & Jacques Silber (ed.), Quantitative Approaches to Multidimensional Poverty Measurement, chapter 11, pages 192-209, Palgrave Macmillan.
    19. Carina Mood & Jan O. Jonsson, 2016. "Erratum to: The Social Consequences of Poverty: An Empirical Test on Longitudinal Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 499-499, September.
    20. François Bourguignon & Satya R. Chakravarty, 2019. "The Measurement of Multidimensional Poverty," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 83-107, Springer.
    21. Andrew E. Clark, 2015. "SWB as a Measure of Individual Well-Being," Working Papers halshs-01134483, HAL.
    22. Markus M. Grabka & Joachim R. Frick, 2008. "Schrumpfende Mittelschicht: Anzeichen einer dauerhaften Polarisierung der verfügbaren Einkommen?," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 75(10), pages 101-108.
    23. Joseph Deutsch & Jacques Silber, 2005. "Measuring Multidimensional Poverty: An Empirical Comparison Of Various Approaches," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(1), pages 145-174, March.
    24. Lidia Ceriani & Chiara Gigliarano, 2020. "Multidimensional Well-Being: A Bayesian Networks Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 237-263, November.
    25. Anthony Downs, 1957. "An Economic Theory of Political Action in a Democracy," Journal of Political Economy, University of Chicago Press, vol. 65, pages 135-135.
    26. James Foster & Michael Wolfson, 2010. "Polarization and the decline of the middle class: Canada and the U.S," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(2), pages 247-273, June.
    27. Carina Mood & Jan O. Jonsson, 2016. "The Social Consequences of Poverty: An Empirical Test on Longitudinal Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(2), pages 633-652, June.
    28. You‐Qiang Wang & Kai‐Yuen Tsui, 2000. "Polarization Orderings and New Classes of Polarization Indices," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 2(3), pages 349-363, July.
    29. Easterly, William, 2001. "The Middle Class Consensus and Economic Development," Journal of Economic Growth, Springer, vol. 6(4), pages 317-335, December.
    30. Clair Vickery, 1977. "The Time-Poor: A New Look at Poverty," Journal of Human Resources, University of Wisconsin Press, vol. 12(1), pages 27-48.
    31. Anthony Atkinson & Thomas Piketty, 2007. "Top incomes over the twentieth century: A contrast between continental european and english-speaking countries," Post-Print halshs-00754859, HAL.
    32. Bettina Scherg, 2014. "Ist die Einkommenspolarisierung gestiegen? - Alternative Messkonzepte und ihre Ergebnisse für Selbständige und abhängig Beschäftigte in Deutschland," FFB-Discussionpaper 97, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    33. Chiara Gigliarano & Karl Mosler, 2009. "Constructing indices of multivariate polarization," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 7(4), pages 435-460, December.
    34. Wang, You-Qiang & Tsui, Kai-Yuen, 2000. "Polarization Orderings and New Classes of Polarization Indices," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 2(3), pages 349-363.
    35. Facundo Alvaredo & Thomas Piketty & Emmanuel Saez & Lucas Chancel & Gabriel Zucman, 2018. "World Inequality Report 2018," PSE-Ecole d'économie de Paris (Postprint) halshs-01885458, HAL.
    36. César García‐Gómez & Ana Pérez & Mercedes Prieto‐Alaiz, 2021. "Copula‐based analysis of multivariate dependence patterns between dimensions of poverty in Europe," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(1), pages 165-195, March.
    37. María Edo & Walter Sosa Escudero & Marcela Svarc, 2021. "A multidimensional approach to measuring the middle class," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(1), pages 139-162, March.
    38. Andrei Bougrov & Robert Johnson & Benno Ndulo & Pedro Paez & Avinash Persaud & Heidemarie Wieczorek-Zeul & Akhtar Aziz Zeti & Charles Goodhart & Jomo Kwame Sundaram & Youssef Boutros-Ghali & José Anto, 2010. "The Stiglitz Report," Working Papers hal-03415638, HAL.
    39. Andrew Harvey & Arun Mukhopadhyay, 2007. "When Twenty-Four Hours is not Enough: Time Poverty of Working Parents," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(1), pages 57-77, May.
    40. Jan Goebel & Martin Gornig & Hartmut Häußermann, 2010. "Polarisierung der Einkommen: die Mittelschicht verliert," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 77(24), pages 2-8.
    41. Johan Graafland & Bjorn Lous, 2019. "Income Inequality, Life Satisfaction Inequality and Trust: A Cross Country Panel Analysis," Journal of Happiness Studies, Springer, vol. 20(6), pages 1717-1737, August.
    42. Mr. Ippei Shibata, 2020. "The Distributional Impact of Recessions: the Global Financial Crisis and the Pandemic Recession," IMF Working Papers 2020/096, International Monetary Fund.
    43. Joachim Merz & Tim Rathjen, 2014. "Multidimensional time and income poverty: well-being gap and minimum 2DGAP poverty intensity – German evidence," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(4), pages 555-580, December.
    44. Parker,Simon C., 2006. "The Economics of Self-Employment and Entrepreneurship," Cambridge Books, Cambridge University Press, number 9780521030632.
    45. Nanak Kakwani & Jacques Silber (ed.), 2008. "Quantitative Approaches to Multidimensional Poverty Measurement," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-58235-4.
    46. Atkinson, Anthony B., 2015. "Inequality: what can be done?," LSE Research Online Documents on Economics 101810, London School of Economics and Political Science, LSE Library.
    47. Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007. "The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 139-169.
    48. A. Atkinson, 2003. "Multidimensional Deprivation: Contrasting Social Welfare and Counting Approaches," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(1), pages 51-65, April.
    49. Atkinson, A. B. & Piketty, Thomas (ed.), 2007. "Top Incomes Over the Twentieth Century: A Contrast Between Continental European and English-Speaking Countries," OUP Catalogue, Oxford University Press, number 9780199286881.
    50. Barton H. Hamilton, 2000. "Does Entrepreneurship Pay? An Empirical Analysis of the Returns to Self-Employment," Journal of Political Economy, University of Chicago Press, vol. 108(3), pages 604-631, June.
    51. Federico Cingano, 2014. "Trends in Income Inequality and its Impact on Economic Growth," OECD Social, Employment and Migration Working Papers 163, OECD Publishing.
    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. Joachim Merz & Bettina Scherg, 2013. "Polarization of Time and Income: A Multidimensional Approach with Well-Being Gap and Minimum 2DGAP ; German Evidence," SOEPpapers on Multidisciplinary Panel Data Research 574, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. Iris Burmester & Bettina Scherg, 2013. "Polarisierung von Arbeitseinkommen im internationalen Vergleich – Empirische Befunde," FFB-Discussionpaper 96, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    3. Merz, Joachim & Peters, Normen, 2019. "Parental Child Care Time, Income and Subjective Well-Being: A Multidimensional Polarization Approach for Germany," IZA Discussion Papers 12145, Institute of Labor Economics (IZA).
    4. Joachim Merz & Normen Peters, 2019. "Parental Child Care Time, Income and Subjective Well-Being: A Multidimensional Polarization Approach for Germany," SOEPpapers on Multidisciplinary Panel Data Research 1021, DIW Berlin, The German Socio-Economic Panel (SOEP).
    5. Joachim Merz & Tim Rathjen, 2011. "Intensity of Time and Income Interdependent Multidimensional Poverty: Well-Being and Minimum 2DGAP – German Evidence," FFB-Discussionpaper 92, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    6. Joachim Merz & Tim Rathjen, 2014. "Multidimensional time and income poverty: well-being gap and minimum 2DGAP poverty intensity – German evidence," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(4), pages 555-580, December.
    7. Joachim Merz & Tim Rathjen, 2014. "Time And Income Poverty: An Interdependent Multidimensional Poverty Approach With German Time Use Diary Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(3), pages 450-479, September.
    8. Joachim Merz & Tim Rathjen, 2016. "Entrepreneurs and Freelancers: Are They Time and Income Multidimensional Poor? - The German Case," SOEPpapers on Multidisciplinary Panel Data Research 851, DIW Berlin, The German Socio-Economic Panel (SOEP).
    9. Joachim Merz & Henning Stolze, 2010. "Kumulation von Querschnitten - Evaluierung alternativer Konzepte für die kumulierten laufenden Wirtschaftsrechnungen 1999 bis 2003 im Vergleich zur Einkommens- und Verbrauchsstichprobe 2003," FFB-Discussionpaper 85, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    10. Bettina Scherg, 2014. "Multidimensional Polarization of Income and Wealth: The Extent and Intensity of Poverty and Affluence," FFB-Discussionpaper 98, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    11. Joachim Merz & Tim Rathjen, 2011. "Zeit- und Einkommensarmut von Freien Berufen und Unternehmern," FFB-Discussionpaper 89, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    12. Gallardo, Mauricio, 2022. "Measuring vulnerability to multidimensional poverty with Bayesian network classifiers," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 492-512.
    13. Fuad Aleskerov & Victoria Oleynik, 2016. "Multidimensional Polarization Index and its Application to an Analysis of the Russian State Duma," Papers 1608.01351, arXiv.org.
    14. Nicolai Suppa, 2021. "Walls of glass. Measuring deprivation in social participation," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(2), pages 385-411, June.
    15. Mauricio Gallardo, 2020. "Measuring Vulnerability to Multidimensional Poverty," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(1), pages 67-103, February.
    16. Sabina Alkire & James Foster, 2011. "Understandings and misunderstandings of multidimensional poverty measurement," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(2), pages 289-314, June.
    17. Berenger, Valerie, 2016. "Measuring Multidimensional Poverty in Three Southeast Asian Countries using Ordinal Variables," ADBI Working Papers 618, Asian Development Bank Institute.
    18. Fabio Clementi & Francesco Schettino, 2013. "Income polarization in Brazil, 2001-2011: A distributional analysis using PNAD data," Economics Bulletin, AccessEcon, vol. 33(3), pages 1796-1815.
    19. Chiara Assunta Ricci & Sergio Scicchitano, 2021. "Decomposing changes in income polarization by population group: what happened during the crisis?," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(1), pages 235-259, April.
    20. Andreas Peichl & Nico Pestel, 2013. "Multidimensional Well‐Being at the Top: Evidence for Germany," Fiscal Studies, Institute for Fiscal Studies, vol. 34, pages 355-371, September.

    More about this item

    Keywords

    2001/02and 2012/13; two-stage Heckman estimates of polarization incidence and intensity; CES well-being function; interdependent multidimensional polarization; extended economic well-being; minimum multidimensional polarization intensity gap (2DGAP); satisfaction/happiness; life satisfaction; subjective well-being; time and income poverty and affluence; social participation; working poor and affluent; middle class; self-employment and employees; German Time Use Surveys 1991/92; German Socio-Economic Panel;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

    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:iza:izadps:dp14870. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .

    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.