[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
IDEAS home Printed from https://ideas.repec.org/p/syd/wpaper/2017-04.html
   My bibliography  Save this paper

Estimating Household Consumption Insurance

Author

Listed:
  • Chatterjee, Arpita
  • Morley, James
  • Singh, Aarti
Abstract
Blundell, Pistaferri, and Preston (American Economic Review, 2008, 98(5), 1887-1921) report an estimate of household consumption insurance with respect to permanent income shocks of 36%. Their estimate is imprecise and not robust to weighting scheme for GMM. We propose instead to use quasi maximum likelihood estimation (QMLE). It produces a more precise and significantly higher estimate of consumption insurance at 55%. For sub-groups by age and education, the differences between estimates are even more pronounced. Monte Carlo experiments with non-Normal shocks demonstrate that QMLE is more accurate than GMM.

Suggested Citation

  • Chatterjee, Arpita & Morley, James & Singh, Aarti, 2017. "Estimating Household Consumption Insurance," Working Papers 2017-04, University of Sydney, School of Economics, revised Jul 2019.
    • Handle: RePEc:syd:wpaper:2017-04
    as

    Download full text from publisher

    File URL: http://econ-wpseries.com/2017/201704-06.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Jonathan Heathcote & Fabrizio Perri & Giovanni L. Violante, 2010. "Unequal We Stand: An Empirical Analysis of Economic Inequality in the United States: 1967-2006," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 13(1), pages 15-51, January.
    2. Greg Kaplan & Giovanni L. Violante, 2010. "How Much Consumption Insurance beyond Self-Insurance?," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(4), pages 53-87, October.
    3. James C. Morley & Charles R. Nelson & Eric Zivot, 2003. "Why Are the Beveridge-Nelson and Unobserved-Components Decompositions of GDP So Different?," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 235-243, May.
    4. Fatih Guvenen, 2007. "Learning Your Earning: Are Labor Income Shocks Really Very Persistent?," American Economic Review, American Economic Association, vol. 97(3), pages 687-712, June.
    5. Dirk Krueger & Fabrizio Perri, 2006. "Does Income Inequality Lead to Consumption Inequality? Evidence and Theory -super-1," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 73(1), pages 163-193.
    6. Whitney K. Newey & Richard J. Smith, 2004. "Higher Order Properties of Gmm and Generalized Empirical Likelihood Estimators," Econometrica, Econometric Society, vol. 72(1), pages 219-255, January.
    7. Arpita Chatterjee & Aarti Singh & Tahlee Stone, 2016. "Understanding Wage Inequality in Australia," The Economic Record, The Economic Society of Australia, vol. 92(298), pages 348-360, September.
    8. Iourii Manovskii & Dmytro Hryshko & Moira Daly, 2011. "Reconciling Estimates of Income Processes in Growth Rates and Levels," 2011 Meeting Papers 1319, Society for Economic Dynamics.
    9. Deaton, Angus & Paxson, Christina, 1994. "Intertemporal Choice and Inequality," Journal of Political Economy, University of Chicago Press, vol. 102(3), pages 437-467, June.
    10. James Morley & Aarti Singh, 2015. "Inventory Shocks and the Great Moderation," Discussion Papers 2012-42A, School of Economics, The University of New South Wales.
    11. Jonathan Heathcote & Kjetil Storesletten & Giovanni L. Violante, 2014. "Consumption and Labor Supply with Partial Insurance: An Analytical Framework," American Economic Review, American Economic Association, vol. 104(7), pages 2075-2126, July.
    12. Greg Kaplan & Kurt Mitman & Giovanni L. Violante, 2020. "The Housing Boom and Bust: Model Meets Evidence," Journal of Political Economy, University of Chicago Press, vol. 128(9), pages 3285-3345.
    13. James Morley & Aarti Singh, 2016. "Inventory Shocks and the Great Moderation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(4), pages 699-728, June.
    14. Joseph G. Altonji & Aloysius Siow, 1987. "Testing the Response of Consumption to Income Changes with (Noisy) Panel Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(2), pages 293-328.
    15. Adrien Auclert, 2019. "Monetary Policy and the Redistribution Channel," American Economic Review, American Economic Association, vol. 109(6), pages 2333-2367, June.
    16. MaCurdy, Thomas E., 1982. "The use of time series processes to model the error structure of earnings in a longitudinal data analysis," Journal of Econometrics, Elsevier, vol. 18(1), pages 83-114, January.
    17. Abowd, John M & Card, David, 1989. "On the Covariance Structure of Earnings and Hours Changes," Econometrica, Econometric Society, vol. 57(2), pages 411-445, March.
    18. Richard Blundell & Luigi Pistaferri & Ian Preston, 2008. "Consumption Inequality and Partial Insurance," American Economic Review, American Economic Association, vol. 98(5), pages 1887-1921, December.
    19. Nicholas S. Souleles, 1999. "The Response of Household Consumption to Income Tax Refunds," American Economic Review, American Economic Association, vol. 89(4), pages 947-958, September.
    20. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    21. Skinner, Jonathan, 1987. "A superior measure of consumption from the panel study of income dynamics," Economics Letters, Elsevier, vol. 23(2), pages 213-216.
    22. White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, 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. John Carter Braxton & Kyle F. Herkenhoff & Jonathan Rothbaum & Lawrence Schmidt, 2021. "Changing Income Risk across the US Skill Distribution: Evidence from a Generalized Kalman Filter," Opportunity and Inclusive Growth Institute Working Papers 55, Federal Reserve Bank of Minneapolis.
    2. Dirk Krueger & Fulin Li & Harald Uhlig, 2024. "Neoclassical Growth Transition Dynamics with One-Sided Commitment," PIER Working Paper Archive 24-020, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    3. Yunho Cho & James Morley & Aarti Singh, 2024. "Did marginal propensities to consume change with the housing boom and bust?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 174-199, January.
    4. James Bullard & Aarti Singh & Jacek Suda, 2024. "Optimal Macroeconomic Policies in a Heterogeneous World," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 72(3), pages 991-1041, September.
    5. Anastasia Petaykina, 2023. "Estimation of Sensitivity of Russian Household Consumption to Permanent and Transitory Income Shocks Using Kalman Filter," Russian Journal of Money and Finance, Bank of Russia, vol. 82(3), pages 110-127, 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. Arpita Chatterjee & James Morley & Aarti Singh, 2017. "Full Information Estimation of Household Income Risk and Consumption Insurance," Discussion Papers 2017-07, School of Economics, The University of New South Wales.
    2. Greg Kaplan & Giovanni L. Violante, 2010. "How Much Consumption Insurance beyond Self-Insurance?," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(4), pages 53-87, October.
    3. Theloudis, Alexandros, 2021. "Consumption inequality across heterogeneous families," European Economic Review, Elsevier, vol. 136(C).
    4. Estelle Dauchy & Francisco Navarro-Sanchez & Nathan Seegert, 2021. "Taxation and Inequality: Active and Passive Channels," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 42, pages 156-177, October.
    5. Jonathan Heathcote & Kjetil Storesletten & Giovanni L. Violante, 2014. "Consumption and Labor Supply with Partial Insurance: An Analytical Framework," American Economic Review, American Economic Association, vol. 104(7), pages 2075-2126, July.
    6. Manuel Sanchez & Felix Wellschmied, 2020. "Modeling Life-Cycle Earnings Risk with Positive and Negative Shocks," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 103-126, July.
    7. Jonathan Heathcote & Kjetil Storesletten & Giovanni L. Violante, 2009. "Quantitative Macroeconomics with Heterogeneous Households," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 319-354, May.
    8. Tom Krebs & Moritz Kuhn & Mark L. J. Wright, 2015. "Human Capital Risk, Contract Enforcement, and the Macroeconomy," American Economic Review, American Economic Association, vol. 105(11), pages 3223-3272, November.
    9. Jonathan Heathcote & Fabrizio Perri & Giovanni L. Violante, 2010. "Unequal We Stand: An Empirical Analysis of Economic Inequality in the United States: 1967-2006," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 13(1), pages 15-51, January.
    10. Yavuz Arslan & Bulent Guler & Temel Taskin, 2021. "Price Search, Consumption Inequality And Expenditure Inequality Over The Life ‐Cycle," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(1), pages 295-320, February.
    11. Robin Jessen & Johannes König, 2023. "Hours risk and wage risk: repercussions over the life cycle," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(4), pages 956-996, October.
    12. Lance Lochner & Youngki Shin, 2014. "Understanding Earnings Dynamics: Identifying and Estimating the Changing Roles of Unobserved Ability, Permanent and Transitory Shocks," NBER Working Papers 20068, National Bureau of Economic Research, Inc.
    13. Meghir, Costas & Pistaferri, Luigi, 2011. "Earnings, Consumption and Life Cycle Choices," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 9, pages 773-854, Elsevier.
    14. Moira Daly & Dmytro Hryshko & Iourii Manovskii, 2022. "Improving The Measurement Of Earnings Dynamics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(1), pages 95-124, February.
    15. Tao Wang, 2023. "Perceived versus Calibrated Income Risks in Heterogeneous-Agent Consumption Models," Staff Working Papers 23-59, Bank of Canada.
    16. Raül Santaeulàlia-Llopis & Yu Zheng, 2018. "The Price of Growth: Consumption Insurance in China 1989–2009," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(4), pages 1-35, October.
    17. Josep Pijoan-Mas & Virginia Sanchez-Marcos, 2010. "Spain is Different: Falling Trends of Inequality," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 13(1), pages 154-178, January.
    18. Jeanne Commault, 2016. "How Does Nondurable Consumption Respond To Transitory Income Shocks? Reconciling Natural Experiments and Structural Estimations," Working Papers hal-01328904, HAL.
    19. Richard Blundell & Luigi Pistaferri & Itay Saporta-Eksten, 2016. "Consumption Inequality and Family Labor Supply," American Economic Review, American Economic Association, vol. 106(2), pages 387-435, February.
    20. Masakatsu Okubo, 2015. "Earnings Dynamics and Profile Heterogeneity: Estimates from Japanese Panel Data," The Japanese Economic Review, Japanese Economic Association, vol. 66(1), pages 112-146, March.

    More about this item

    Keywords

    consumption insurance; weighting schemes; quasi maximum likelihood.;
    All these keywords.

    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:syd:wpaper:2017-04. 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: Vanessa Holcombe (email available below). General contact details of provider: https://edirc.repec.org/data/deusyau.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.