IDEAS home Printed from https://ideas.repec.org/p/cbo/wpaper/43137.html
   My bibliography  Save this paper

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

Author

Listed:
  • Molly Dahl
  • Thomas DeLeire
  • Shannon Mok

Abstract

This paper explores how the use of imputed earnings data to measure income in the Survey of Income and Program Participation affects the observed relationship between household income volatility and food insufficiency. The study finds that the inclusion of imputed earnings data when measuring income volatility substantially understates the association between large drops in household income and food insufficiency. After excluding observations with imputed earnings, large drops in income are associated with a 1.3 percentage point increase in the probability of food

Suggested Citation

  • 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.
  • Handle: RePEc:cbo:wpaper:43137
    as

    Download full text from publisher

    File URL: https://www.cbo.gov/sites/default/files/workingpaper/WorkingPaper2012-07-FoodInsufficiencyAndIncomeVolatility_0.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. DiNardo, John & Fortin, Nicole M & Lemieux, Thomas, 1996. "Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach," Econometrica, Econometric Society, vol. 64(5), pages 1001-1044, September.
    2. Mellow, Wesley & Sider, Hal, 1983. "Accuracy of Response in Labor Market Surveys: Evidence and Implications," Journal of Labor Economics, University of Chicago Press, vol. 1(4), pages 331-344, October.
    3. Lillard, Lee & Smith, James P & Welch, Finis, 1986. "What Do We Really Know about Wages? The Importance of Nonreporting and Census Imputation," Journal of Political Economy, University of Chicago Press, vol. 94(3), pages 489-506, June.
    4. Welch, Finis, 1979. "Effects of Cohort Size on Earnings: The Baby Boom Babies' Financial Bust," Journal of Political Economy, University of Chicago Press, vol. 87(5), pages 65-97, October.
    5. 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.
    6. 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.
    7. Unknown, 2001. "Second Food Security Measurement And Research Conference, Volume Ii: Papers," Food Assistance and Nutrition Research Reports 33883, United States Department of Agriculture, Economic Research Service.
    8. Rose, Donald & Gunderson, Craig & Oliveira, Victor, 1998. "Socio-Economic Determinants of Food Insecurity in the United States: Evidence from the SIPP and CSFII Datasets," Technical Bulletins 184377, United States Department of Agriculture, Economic Research Service.
    9. 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.
    10. Bonggeun Kim & Gary Solon, 2005. "Implications of Mean-Reverting Measurement Error for Longitudinal Studies of Wages and Employment," The Review of Economics and Statistics, MIT Press, vol. 87(1), pages 193-196, February.
    11. Ribar, David C. & Hamrick, Karen S., 2003. "Dynamics Of Poverty And Food Sufficiency," Food Assistance and Nutrition Research Reports 33851, United States Department of Agriculture, Economic Research Service.
    12. Nord, Mark & Golla, Anne Marie, 2009. "Does SNAP Decrease Food Insecurity? Untangling the Self-Selection Effect," Economic Research Report 55955, United States Department of Agriculture, Economic Research Service.
    13. Rose, Donald & Gundersen, Craig & Oliveira, Victor, 1998. "Socio-Economic Determinants of Food Insecurity in the United States: Evidence from the SIPP and CSFII Datasets," Technical Bulletins 156812, United States Department of Agriculture, Economic Research Service.
    14. Laura Leete & Neil Bania, 2010. "The effect of income shocks on food insufficiency," Review of Economics of the Household, Springer, vol. 8(4), pages 505-526, December.
    15. Dooley, Martin D & Gottschalk, Peter, 1984. "Earnings Inequality among Males in the United States: Trends and the Effect of Labor Force Growth," Journal of Political Economy, University of Chicago Press, vol. 92(1), pages 59-89, February.
    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. Newman, Constance & Prell, Mark & Scherpf, Erik, 2015. "SNAP Eligibility and Participation Dynamics: The Roles of Policy and Economic Factors from 2004 to 2012," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206078, Agricultural and Applied Economics Association.

    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. 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.
    2. Christopher R. Bollinger & Barry T. Hirsch, 2010. "GDP & Beyond – die europäische Perspektive," RatSWD Working Papers 165, German Data Forum (RatSWD).
    3. Yunhee Chang & Swarn Chatterjee & Jinhee Kim, 2014. "Household Finance and Food Insecurity," Journal of Family and Economic Issues, Springer, vol. 35(4), pages 499-515, December.
    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. 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).
    6. Ranney, Christine K. & Gomez, Miguel I., 2010. "Food Stamps, Food Insufficiency and Health of the Elderly," Working Papers 126968, Cornell University, Department of Applied Economics and Management.
    7. Dharmasena, Senarath & Bessler, David A. & Capps, Oral, 2016. "Food environment in the United States as a complex economic system," Food Policy, Elsevier, vol. 61(C), pages 163-175.
    8. Baorong Guo, 2011. "Household Assets and Food Security: Evidence from the Survey of Program Dynamics," Journal of Family and Economic Issues, Springer, vol. 32(1), pages 98-110, March.
    9. 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.
    10. James P. Ziliak & Charles Hokayem & Christopher R. Bollinger, 2022. "Trends in Earnings Volatility Using Linked Administrative and Survey Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 12-19, December.
    11. Mittag, Nikolas, 2016. "Correcting for Misreporting of Government Benefits," IZA Discussion Papers 10266, Institute of Labor Economics (IZA).
    12. Meyer, Bruce D. & Mittag, Nikolas, 2019. "Combining Administrative and Survey Data to Improve Income Measurement," IZA Discussion Papers 12266, Institute of Labor Economics (IZA).
    13. Coleman-Jensen, Alisha & Nord, Mark, 2013. "Food Insecurity Among Households With Working-Age Adults With Disabilities," Economic Research Report 142955, United States Department of Agriculture, Economic Research Service.
    14. Fisher, Jonathan D. & Houseworth, Christina A., 2013. "Occupation inflation in the Current Population Survey," Journal of Economic and Social Measurement, IOS Press, issue 3, pages 243-261.
    15. Nicolas Frémeaux, 2023. "The More, the Better? Individual and Joint Interviewing in Surveys," Annals of Economics and Statistics, GENES, issue 149, pages 63-96.
    16. Verdugo, Gregory, 2016. "Real wage cyclicality in the Eurozone before and during the Great Recession: Evidence from micro data," European Economic Review, Elsevier, vol. 82(C), pages 46-69.
    17. Thomas F. Crossley & Peter Levell & Stavros Poupakis, 2022. "Regression with an imputed dependent variable," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1277-1294, November.
    18. Rodríguez-Oreggia, Eduardo & López-Videla, Bruno, 2015. "Imputación de ingresos laborales. Una aplicación con encuestas de empleo en México," El Trimestre Económico, Fondo de Cultura Económica, vol. 0(325), pages .117-146, enero-mar.
    19. Scotton Carol R., 2013. "New risk rates, inter-industry differentials and the magnitude of VSL estimates," Journal of Benefit-Cost Analysis, De Gruyter, vol. 4(1), pages 39-80, March.
    20. 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.).

    More about this item

    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:cbo:wpaper:43137. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/cbogvus.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.