IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2303.05895.html
   My bibliography  Save this paper

What do surveys say about the historical trend of inequality and the applicability of two table-transformation methods?

Author

Listed:
  • Anna Naszodi

Abstract

We apply a pseudo panel analysis of survey data from the years 2010 and 2017 about Americans' self-reported marital preferences and perform some formal tests on the sign and magnitude of the change in educational homophily from the generation of the early Boomers to the late Boomers, as well as from the early GenerationX to the late GenerationX. In the analysis, we control for changes in preferences over the course of the survey respondents' lives. We use the test results to decide whether the popular iterative proportional fitting (IPF) algorithm, or its alternative, the NM-method is more suitable for analyzing revealed marital preferences. These two methods construct different tables representing counterfactual joint educational distributions of couples. Thereby, they disagree on the trend of revealed preferences identified from the prevalence of homogamy by counterfactual decompositions. By finding self-reported homophily to display a U-shaped pattern, our tests reject the hypothesis that the IPF is suitable for constructing counterfactuals in general, while we cannot reject the applicability of the NM. The significance of our survey-based method-selection is due to the fact that the choice between the IPF and the NM makes a difference not only to the identified historical trend of revealed homophily, but also to what future paths of social inequality are believed to be possible.

Suggested Citation

  • Anna Naszodi, 2023. "What do surveys say about the historical trend of inequality and the applicability of two table-transformation methods?," Papers 2303.05895, arXiv.org.
  • Handle: RePEc:arx:papers:2303.05895
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2303.05895
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pierre-Andre Chiappori & Monica Costa Dias & Costas Meghir, 2020. "Changes in Assortative Matching: Theory and Evidence for the US," Cowles Foundation Discussion Papers 2226, Cowles Foundation for Research in Economics, Yale University.
    2. Anna Naszodi, 2023. "Direct comparison or indirect comparison via a series of counterfactual decompositions?," Papers 2303.04905, arXiv.org.
    3. Lasse Eika & Magne Mogstad & Basit Zafar, 2019. "Educational Assortative Mating and Household Income Inequality," Journal of Political Economy, University of Chicago Press, vol. 127(6), pages 2795-2835.
    4. Jesse Bricker & Alice Henriques & Jacob Krimmel & John Sabelhaus, 2016. "Estimating Top Income and Wealth Shares: Sensitivity to Data and Methods," American Economic Review, American Economic Association, vol. 106(5), pages 641-645, May.
    5. Vincent J Geloso & Phillip Magness & John Moore & Philip Schlosser, 2022. "How Pronounced is the U-Curve? Revisiting Income Inequality in the United States, 1917–60," The Economic Journal, Royal Economic Society, vol. 132(647), pages 2366-2391.
    6. Eugene Choo & Aloysius Siow, 2006. "Who Marries Whom and Why," Journal of Political Economy, University of Chicago Press, vol. 114(1), pages 175-201, February.
    7. Liu, Haoming & Lu, Jingfeng, 2006. "Measuring the degree of assortative mating," Economics Letters, Elsevier, vol. 92(3), pages 317-322, September.
    8. Emmanuel Saez & Gabriel Zucman, 2016. "Editor's Choice Wealth Inequality in the United States since 1913: Evidence from Capitalized Income Tax Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 519-578.
    9. Martin Biewen, 2014. "A general decomposition formula with interaction effects," Applied Economics Letters, Taylor & Francis Journals, vol. 21(9), pages 636-642, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Anna Naszodi, 2023. "Direct comparison or indirect comparison via a series of counterfactual decompositions?," Papers 2303.04905, arXiv.org.

    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. Anna Naszodi, 2023. "Historical trend in educational homophily: U-shaped or not U-shaped? Or, how to set a criterion to choose a criterion?," Papers 2305.00231, arXiv.org, revised Feb 2024.
    2. Arnaud Dupuy & Simon Weber, 2022. "Marriage Market Counterfactuals Using Matching Models," Economica, London School of Economics and Political Science, vol. 89(353), pages 29-43, January.
    3. Lauren HOEHN-VELASCO & Jacob PENGLASE, 2023. "Changes in assortative matching and educational inequality: evidence from marriage and birth records in Mexico," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 89(4), pages 587-607, December.
    4. Hoehn-Velasco, Lauren & Penglase, Jacob, 2023. "Changes in assortative matching and educational inequality: evidence from marriage and birth records in Mexico," Journal of Demographic Economics, Cambridge University Press, vol. 89(4), pages 587-607, December.
    5. Pierre-Andre Chiappori & Monica Costa Dias & Costas Meghir, 2021. "The Measuring of Assortativeness in Marriage," Cowles Foundation Discussion Papers 2316, Cowles Foundation for Research in Economics, Yale University.
    6. Anton A. Cheremukhin & Paulina Restrepo-Echavarria & Antonella Tutino, 2023. "Marriage Market Sorting in the U.S," Working Papers 2023-023, Federal Reserve Bank of St. Louis.
    7. Nie, Haifeng & Xing, Chunbing, 2019. "Education expansion, assortative marriage, and income inequality in China," China Economic Review, Elsevier, vol. 55(C), pages 37-51.
    8. Pierre‐André Chiappori & Monica Costa‐Dias & Sam Crossman & Costas Meghir, 2020. "Changes in Assortative Matching and Inequality in Income: Evidence for the UK," Fiscal Studies, John Wiley & Sons, vol. 41(1), pages 39-63, March.
    9. Anna NAZSZODI & Francisco MENDONCA, 2023. "A new method for identifying the role of marital preferences at shaping marriage patterns," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 89(1), pages 1-27, March.
    10. Pierre-André Chiappori & Monica Costa Dias & Costas Meghir, 2020. "Changes in Assortative Matching: Theory and Evidence for the US," Working Papers 2020-033, Human Capital and Economic Opportunity Working Group.
    11. Lars Kirkebøen & Edwin Leuven & Magne Mogstad, 2021. "College as a Marriage Market," Discussion Papers 950, Statistics Norway, Research Department.
    12. Edoardo Ciscato & Alfred Galichon & Marion Goussé, 2020. "Like Attract Like? A Structural Comparison of Homogamy across Same-Sex and Different-Sex Households," Journal of Political Economy, University of Chicago Press, vol. 128(2), pages 740-781.
    13. Jacques Silber & Sasiwimon Warunsiri Paweenawat & Lusi Liao, 2022. "On the measurement of non-random mating and of its change over time," Review of Economics of the Household, Springer, vol. 20(1), pages 161-198, March.
    14. Edward N. Wolff, 2021. "The declining wealth of the middle class, 1983–2016," Contemporary Economic Policy, Western Economic Association International, vol. 39(3), pages 461-478, July.
    15. Doepke, M. & Tertilt, M., 2016. "Families in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1789-1891, Elsevier.
    16. Jesse Bricker & Alice Henriques & Jacob Krimmel & John Sabelhaus, 2016. "Measuring Income and Wealth at the Top Using Administrative and Survey Data," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(1 (Spring), pages 261-331.
    17. Anderson, Gordon & Leo, Teng Wah, 2013. "An empirical examination of matching theories: The one child policy, partner choice and matching intensity in urban China," Journal of Comparative Economics, Elsevier, vol. 41(2), pages 468-489.
    18. Benjamin Ching & Tayla Forward & Oscar Parkyn, 2023. "Estimating the Distribution of Wealth in New Zealand," Treasury Working Paper Series 23/01, New Zealand Treasury.
    19. Edward N. Wolff, 2020. "Taxes and the Revaluation of Household Wealth," NBER Working Papers 27328, National Bureau of Economic Research, Inc.
    20. Frederik Almar & Benjamin Friedrich & Ana Reynoso & Bastian Schulz & Rune Vejlin, 2023. "Marital Sorting and Inequality: How Educational Categorization Matters," CESifo Working Paper Series 10265, CESifo.

    More about this item

    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:arx:papers:2303.05895. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.