IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/23578.html
   My bibliography  Save this paper

Income Mobility, Income Risk and Welfare

Author

Listed:
  • Tom Krebs
  • Pravin Krishna
  • William F. Maloney

Abstract

This paper presents a framework for the quantitative analysis of individual income dynamics, mobility and welfare, with ex-ante identical individuals facing a stochastic income process and market incompleteness implying that they are unable to insure against persistent shocks to income. We show how the parameters of the income process can be estimated using repeated cross-sectional data with a short panel dimension, and use a simple consumption-saving model for quantitative analysis of mobility and welfare. Our empirical application, using data on individual incomes from Mexico, provides striking results. Most of measured income mobility is driven by measurement error or transitory income shocks and therefore (almost) welfare-neutral. Only a small part of measured income mobility is due to either welfare-reducing income risk or welfare-enhancing catching-up of low-income individuals with high-income individuals, both of which, nevertheless, have economically significant effects on social welfare. Strikingly, roughly half of the mobility that cannot be attributed to measurement error or transitory income shocks is driven by welfare-reducing persistent income shocks. Decomposing mobility into its fundamental components is thus crucial from the standpoint of welfare evaluation.

Suggested Citation

  • Tom Krebs & Pravin Krishna & William F. Maloney, 2017. "Income Mobility, Income Risk and Welfare," NBER Working Papers 23578, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:23578
    Note: DEV ITI LS POL
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w23578.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Constantinides, George M & Duffie, Darrell, 1996. "Asset Pricing with Heterogeneous Consumers," Journal of Political Economy, University of Chicago Press, vol. 104(2), pages 219-240, April.
    2. Michael Baker & Gary Solon, 2003. "Earnings Dynamics and Inequality among Canadian Men, 1976-1992: Evidence from Longitudinal Income Tax Records," Journal of Labor Economics, University of Chicago Press, vol. 21(2), pages 267-288, April.
    3. Dang, Hai-Anh & Lanjouw, Peter & Luoto, Jill & McKenzie, David, 2014. "Using repeated cross-sections to explore movements into and out of poverty," Journal of Development Economics, Elsevier, vol. 107(C), pages 112-128.
    4. Chiara Binelli & Orazio Attanasio, 2010. "Mexico in the 1990s: the Main Cross-Sectional Facts," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 13(1), pages 238-264, January.
    5. Jose Cuesta & Hugo Ñopo & Georgina Pizzolitto, 2011. "Using Pseudo‐Panels To Measure Income Mobility In Latin America," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(2), pages 224-246, June.
    6. Gary Fields & Paul Cichello & Samuel Freije & Marta Menéndez & David Newhouse, 2003. "For Richer or for Poorer? Evidence from Indonesia, South Africa, Spain, and Venezuela," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(1), pages 67-99, April.
    7. Cruces, Guillermo & Lanjouw, Peter & Lucchetti, Leonardo & Perova, Elizaveta & Vakis, Renos & Viollaz, Mariana, 2011. "Intra-generational mobility and repeated cross-sections : a three-country validation exercise," Policy Research Working Paper Series 5916, The World Bank.
    Full references (including those not matched with items on IDEAS)

    More about this item

    JEL classification:

    • F0 - International Economics - - General
    • J0 - Labor and Demographic Economics - - General
    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers

    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:nbr:nberwo:23578. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: http://edirc.repec.org/data/nberrus.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.