IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/32567.html
   My bibliography  Save this paper

Sufficient Statistics for Measuring Forward-Looking Welfare

Author

Listed:
  • David Baqaee
  • Ariel Burstein
  • Yasutaka Koike-Mori

Abstract

We propose a dynamic money-metric index of household welfare. Our approach hinges on two assumptions: (i) preferences are separable between the present and the future; and (ii) some households face no undiversifiable idiosyncratic risk. For this group, we infer the value of the future from consumption-saving behavior, translating future shocks into current-dollar equivalents. Others’ welfare is then pinned down by matching their budget shares. The method accommodates incomplete markets, lifecycle motives, non-rational expectations, and non-exponential discounting without specifying functional forms. Implementation needs only price series, repeated cross-sectional income-balance-sheet-spending data, and an estimate of the intertemporal-substitution elasticity. In simulations, our method tracks true welfare better than net-present-value calculations, especially under credit constraints. In the PSID, our dynamic index differs sharply from static measures. Our estimates can be used to study the dynamic welfare effect of different shocks, without enumerating and forecasting all the uncertain margins and time horizons along which the shock can have effects.

Suggested Citation

  • David Baqaee & Ariel Burstein & Yasutaka Koike-Mori, 2024. "Sufficient Statistics for Measuring Forward-Looking Welfare," NBER Working Papers 32567, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:32567
    Note: EFG ITI
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w32567.pdf
    Download Restriction: Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html. Free access is also available to older working papers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D0 - Microeconomics - - General
    • D10 - Microeconomics - - Household Behavior - - - General
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • E0 - Macroeconomics and Monetary Economics - - General
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • 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:32567. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/nberrus.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.