IDEAS home Printed from https://ideas.repec.org/p/fip/fedmoi/87577.html
   My bibliography  Save this paper

Manning Up and Womaning Down: How Husbands and Wives Report Earnings When She Earns More

Author

Listed:
  • Misty Heggeness
  • Marta Murray-Close

Abstract

To infer social preferences regarding the relative earnings of spouses, we use measurement error in the earnings reported for married couples in the Current Population Survey. We compare the earnings reported for husbands and wives in the survey with their “true” earnings as reported by their employers to tax authorities. Compared with couples where the wife earns just less than the husband, those where she earns just more are 15.9 percentage points more likely to under-report her relative earnings. This pattern reflects the reporting behavior of both husbands and wives and is consistent with a norm that husbands out-earn their wives.

Suggested Citation

  • Misty Heggeness & Marta Murray-Close, 2019. "Manning Up and Womaning Down: How Husbands and Wives Report Earnings When She Earns More," Opportunity and Inclusive Growth Institute Working Papers 28, Federal Reserve Bank of Minneapolis.
    • Handle: RePEc:fip:fedmoi:87577
    DOI: 10.21034/iwp.28
    as

    Download full text from publisher

    File URL: https://www.minneapolisfed.org/~/media/files/institute/working-papers-institute/iwp28.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.21034/iwp.28?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Bruce D. Meyer & Nikolas Mittag, 2019. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness, and Holes in the Safety Net," American Economic Journal: Applied Economics, American Economic Association, vol. 11(2), pages 176-204, April.
    2. Bruce D. Meyer & Nikolas Mittag, 2015. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness and Holes in the Safety Net," Upjohn Working Papers 15-242, W.E. Upjohn Institute for Employment Research.
    3. Ariel J. Binder & David Lam, 2022. "Is There a Male-Breadwinner Norm? The Hazards of Inferring Preferences from Marriage Market Outcomes," Journal of Human Resources, University of Wisconsin Press, vol. 57(6), pages 1885-1914.
    4. Bound, John & Krueger, Alan B, 1991. "The Extent of Measurement Error in Longitudinal Earnings Data: Do Two Wrongs Make a Right?," Journal of Labor Economics, University of Chicago Press, vol. 9(1), pages 1-24, January.
    5. Marianne Bertrand & Emir Kamenica & Jessica Pan, 2015. "Gender Identity and Relative Income within Households," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(2), pages 571-614.
    6. Christopher R. Bollinger & Barry T. Hirsch, 2006. "Match Bias from Earnings Imputation in the Current Population Survey: The Case of Imperfect Matching," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 483-520, July.
    7. Anne Winkler & Timothy McBride & Courtney Andrews, 2005. "Wives who outearn their husbands: A transitory or persistent phenomenon for couples?," Demography, Springer;Population Association of America (PAA), vol. 42(3), pages 523-535, August.
    8. Barry T. Hirsch & Edward J. Schumacher, 2004. "Match Bias in Wage Gap Estimates Due to Earnings Imputation," Journal of Labor Economics, University of Chicago Press, vol. 22(3), pages 689-722, July.
    9. Anja Roth & Michaela Slotwinski, 2018. "Gender Norms and Income Misreporting within Households," CESifo Working Paper Series 7298, CESifo.
    10. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    11. Mary Layne & Deborah Wagner & Cynthia Rothhaas, 2014. "Estimating Record Linkage False Match Rate for the Person Identification Validation System," CARRA Working Papers 2014-02, Center for Economic Studies, U.S. Census Bureau.
    12. Jungmin Lee & Sokbae Lee, 2012. "Does it Matter WHO Responded to the Survey? Trends in the U.S. Gender Earnings Gap Revisited," ILR Review, Cornell University, ILR School, vol. 65(1), pages 148-160, January.
    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. Misty L. Heggeness, 2020. "Estimating the immediate impact of the COVID-19 shock on parental attachment to the labor market and the double bind of mothers," Review of Economics of the Household, Springer, vol. 18(4), pages 1053-1078, December.
    2. Ariel J. Binder & David Lam, 2022. "Is There a Male-Breadwinner Norm? The Hazards of Inferring Preferences from Marriage Market Outcomes," Journal of Human Resources, University of Wisconsin Press, vol. 57(6), pages 1885-1914.
    3. Francine D. Blau & Lawrence M. Kahn & Matthew Comey & Amanda Eng & Pamela Meyerhofer & Alexander Willén, 2020. "Culture and gender allocation of tasks: source country characteristics and the division of non-market work among US immigrants," Review of Economics of the Household, Springer, vol. 18(4), pages 907-958, December.
    4. Gigi Foster & Leslie S. Stratton, 2021. "Does female breadwinning make partnerships less healthy or less stable?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 63-96, January.
    5. Dervisevic, Ervin & Goldstein, Markus, 2023. "He said, she said: The impact of gender and marriage perceptions on self and proxy reporting of labor," Journal of Development Economics, Elsevier, vol. 161(C).
    6. Michèle Belot & Syngjoo Choi & Egon Tripodi & Eline van den Broek-Altenburg & Julian C. Jamison & Nicholas W. Papageorge, 2021. "Unequal consequences of Covid 19: representative evidence from six countries," Review of Economics of the Household, Springer, vol. 19(3), pages 769-783, September.
    7. Akerlof, Robert & Rayo, Luis, 2020. "Narratives and the Economics of the Family," The Warwick Economics Research Paper Series (TWERPS) 1299, University of Warwick, Department of Economics.
    8. Cullen,Claire Alexis, 2020. "Method Matters : Underreporting of Intimate Partner Violence in Nigeria and Rwanda," Policy Research Working Paper Series 9274, The World Bank.
    9. Meghaan R. Lurtz & Derek T. Tharp & Katherine S. Mielitz & Michael Kitces & D. Allen Ammerman, 2020. "Decomposing the Gender Divorce Gap Among Personal Financial Planners," Journal of Family and Economic Issues, Springer, vol. 41(1), pages 19-36, March.
    10. Natalia Zinovyeva & Maryna Tverdostup, 2021. "Gender Identity, Coworking Spouses, and Relative Income within Households," American Economic Journal: Applied Economics, American Economic Association, vol. 13(4), pages 258-284, October.
    11. Lukáš Lafférs & Bernhard Schmidpeter, 2021. "Early child development and parents' labor supply," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(2), pages 190-208, March.
    12. Akerlof, Robert & Rayo, Luis, 2020. "Narratives and the Economics of the Family," CAGE Online Working Paper Series 503, Competitive Advantage in the Global Economy (CAGE).
    13. Daniel Kuehnle & Michael Oberfichtner & Kerstin Ostermann, 2021. "Revisiting gender identity and relative income within households: A cautionary tale on the potential pitfalls of density estimators," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 1065-1073, November.
    14. Misty Heggeness, 2020. "Why Is Mommy So Stressed? Estimating the Immediate Impact of the COVID-19 Shock on Parental Attachment to the Labor Market and the Double Bind of Mothers," Opportunity and Inclusive Growth Institute Working Papers 33, Federal Reserve Bank of Minneapolis.
    15. Anja Roth & Michaela Slotwinski, 2018. "Gender Norms and Income Misreporting within Households," CESifo Working Paper Series 7298, CESifo.
    16. Arielle Bernhardt & Erica Field & Rohini Pande & Natalia Rigol, 2019. "Household Matters: Revisiting the Returns to Capital among Female Microentrepreneurs," American Economic Review: Insights, American Economic Association, vol. 1(2), pages 141-160, September.

    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. Mittag, Nikolas, 2016. "Correcting for Misreporting of Government Benefits," IZA Discussion Papers 10266, Institute of Labor Economics (IZA).
    2. Meyer, Bruce D. & Mittag, Nikolas, 2019. "Combining Administrative and Survey Data to Improve Income Measurement," IZA Discussion Papers 12266, Institute of Labor Economics (IZA).
    3. Christopher R. Bollinger & Barry T. Hirsch, 2010. "GDP & Beyond – die europäische Perspektive," RatSWD Working Papers 165, German Data Forum (RatSWD).
    4. Christopher R. Bollinger & Barry T. Hirsch, 2013. "Is Earnings Nonresponse Ignorable?," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 407-416, May.
    5. Bruce D. Meyer & Nikolas Mittag, 2019. "Combining Administrative and Survey Data to Improve Income Measurement," NBER Working Papers 25738, National Bureau of Economic Research, Inc.
    6. Bollinger, Christopher R. & Hirsch, Barry & Hokayem, Charles M. & Ziliak, James P., 2018. "Trouble in the Tails? What We Know about Earnings Nonresponse Thirty Years after Lillard, Smith, and Welch," IZA Discussion Papers 11710, Institute of Labor Economics (IZA).
    7. Michele Lalla & Maddalena Cavicchioli, 2020. "Nonresponse and measurement errors in income: matching individual survey data with administrative tax data," Department of Economics 0170, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    8. Kazuyasu Sakamoto & Yoko Morita, 2024. "Gender identity and market and non-market work of married women: evidence from Japan," Review of Economics of the Household, Springer, vol. 22(2), pages 511-533, June.
    9. Jeremy J. Nalewaik, 2014. "Missing Variation in the Great Moderation: Lack of Signal Error and OLS Regression," Finance and Economics Discussion Series 2014-27, Board of Governors of the Federal Reserve System (U.S.).
    10. Hanna Virtanen & Mikko Silliman & Tiina Kuuppelomäki & Kristiina Huttunen, "undated". "Education, Gender, and Family Formation," Working Papers 340, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    11. Maximilian Sprengholz & Anna Wieber & Elke Holst, 2019. "Gender Identity and Wives' Labor Market Outcomes in West and East Germany between 1984 and 2016," Discussion Papers of DIW Berlin 1799, DIW Berlin, German Institute for Economic Research.
    12. Anja Roth & Michaela Slotwinski, 2018. "Gender Norms and Income Misreporting within Households," CESifo Working Paper Series 7298, CESifo.
    13. Meyer, Bruce D. & Mittag, Nikolas, 2021. "An empirical total survey error decomposition using data combination," Journal of Econometrics, Elsevier, vol. 224(2), pages 286-305.
    14. Melvin Stephens & Takashi Unayama, 2019. "Estimating the Impacts of Program Benefits: Using Instrumental Variables with Underreported and Imputed Data," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 468-475, July.
    15. Daniel Kuehnle & Michael Oberfichtner & Kerstin Ostermann, 2021. "Revisiting gender identity and relative income within households: A cautionary tale on the potential pitfalls of density estimators," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 1065-1073, November.
    16. Adam Bee & Joshua Mitchell & Nikolas Mittag & Jonathan Rothbaum & Carl Sanders & Lawrence Schmidt & Matthew Unrath, 2023. "National Experimental Wellbeing Statistics - Version 1," Working Papers 23-04, Center for Economic Studies, U.S. Census Bureau.
    17. Karin Hederos & Anders Stenberg, 2022. "Gender identity and relative income within households: evidence from Sweden," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(3), pages 744-772, July.
    18. Liu, Long, 2009. "On hourly wages and weekly earnings in the current population survey," Economics Letters, Elsevier, vol. 105(1), pages 113-116, October.
    19. Molly Dahl & Thomas DeLeire & Shannon Mok, 2012. "Food Insufficiency and Income Volatility in U.S. Households: The Effects of Imputed Earnings in the Survey of Income and Program Participation: Working Paper 2012-07," Working Papers 43137, Congressional Budget Office.
    20. Molly Dahl & Thomas DeLeire & Jonathan A. Schwabish, 2011. "Estimates of Year-to-Year Volatility in Earnings and in Household Incomes from Administrative, Survey, and Matched Data," Journal of Human Resources, University of Wisconsin Press, vol. 46(4), pages 750-774.

    More about this item

    Keywords

    Gender; Earnings; Spousal earnings; Social norms; Data quality; Survey misreporting; Administrative records;
    All these keywords.

    JEL classification:

    • D10 - Microeconomics - - Household Behavior - - - General
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

    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:fip:fedmoi:87577. 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: Kate Hansel (email available below). General contact details of provider: https://edirc.repec.org/data/cfrbmus.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.