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Macroeconomic disasters and consumption smoothing

Author

Listed:
  • Lorenzo Pozzi

    (Erasmus University Rotterdam)

  • Barbara Sadaba

    (Bank of Canada)

Abstract

Macroeconomic disasters (wars, pandemics, depressions) are characterized by drastic shifts and increased volatility of the aggregate consumption to income ratio (or, conversely, the saving ratio). By standard intertemporal budget constraint logic, this ratio is linked to future income and consumption growth rates and therefore should have predictive power for these variables. We investigate whether this predictive ability changes during macroeconomic disasters as this can signal changes in consumer behavior. Through the estimation of panel data regressions for industrial economies using historical annual data, we find that rare macroeconomic disasters increase the predictive ability of this ratio for both future income and consumption growth rates. While we also find evidence of increased predictability for the ongoing Covid-19 pandemic, this is not the case for other postwar recessions. Our results point to a significant reduction in consumption smoothing during disasters. Using a savers-spenders model, we show that this reduction can be interpreted as stemming from an increase during disasters of the number of rule-of-thumb consumers who spend current income in every period as well as from a larger precautionary saving motive of those consumers who do optimize.

Suggested Citation

  • Lorenzo Pozzi & Barbara Sadaba, 2021. "Macroeconomic disasters and consumption smoothing," Tinbergen Institute Discussion Papers 21-030/VI, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20210030
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    File URL: https://papers.tinbergen.nl/21030.pdf
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    References listed on IDEAS

    as
    1. Ashoka Mody & Franziska Ohnsorge & Damiano Sandri, 2012. "Precautionary Savings in the Great Recession," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 60(1), pages 114-138, April.
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. Dossche, Maarten & Zlatanos, Stylianos, 2020. "COVID-19 and the increase in household savings: precautionary or forced?," Economic Bulletin Boxes, European Central Bank, vol. 6.
    4. Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2017. "Macrofinancial History and the New Business Cycle Facts," NBER Macroeconomics Annual, University of Chicago Press, vol. 31(1), pages 213-263.
    5. Òscar Jordà & Katharina Knoll & Dmitry Kuvshinov & Moritz Schularick & Alan M Taylor, 2019. "The Rate of Return on Everything, 1870–2015," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1225-1298.
    6. Coibion, Olivier & Gorodnichenko, Yuriy & Weber, Michael, 2020. "The Cost of the COVID-19 Crisis: Lockdowns, Macroeconomic Expectations, and Consumer Spending," Department of Economics, Working Paper Series qt4jn1x65h, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    7. Thomas Piketty & Gabriel Zucman, 2014. "Capital is Back: Wealth-Income Ratios in Rich Countries 1700–2010," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(3), pages 1255-1310.
    8. Cumby, Robert E & Huizinga, John, 1992. "Testing the Autocorrelation Structure of Disturbances in Ordinary Least Squares and Instrumental Variables Regressions," Econometrica, Econometric Society, vol. 60(1), pages 185-195, January.
    9. Mr. Christopher Carroll & Mr. Martin Sommer & Mr. Jiri Slacalek, 2012. "Dissecting Saving Dynamics: Measuring Wealth, Precautionary, and Credit Effects," IMF Working Papers 2012/219, International Monetary Fund.
    10. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    11. John Y. Campbell & N. Gregory Mankiw, 1989. "Consumption, Income, and Interest Rates: Reinterpreting the Time Series Evidence," NBER Chapters, in: NBER Macroeconomics Annual 1989, Volume 4, pages 185-246, National Bureau of Economic Research, Inc.
    12. James D. Hamilton, 2008. "Macroeconomics and ARCH," NBER Working Papers 14151, National Bureau of Economic Research, Inc.
    13. repec:fth:harver:1435 is not listed on IDEAS
    14. Lettau, Martin & Ludvigson, Sydney C., 2005. "Expected returns and expected dividend growth," Journal of Financial Economics, Elsevier, vol. 76(3), pages 583-626, June.
    15. Eichenbaum, Martin & Parker, Jonathan A. (ed.), . "NBER Macroeconomics Annual 2016," National Bureau of Economic Research Books, University of Chicago Press, number 9780226490229, September.
    16. Robert J. Barro, 2006. "Rare Disasters and Asset Markets in the Twentieth Century," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(3), pages 823-866.
    17. Campbell, John Y, 1987. "Does Saving Anticipate Declining Labor Income? An Alternative Test of the Permanent Income Hypothesis," Econometrica, Econometric Society, vol. 55(6), pages 1249-1273, November.
    18. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    19. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    20. Jonathan A. Parker & Bruce Preston, 2005. "Precautionary Saving and Consumption Fluctuations," American Economic Review, American Economic Association, vol. 95(4), pages 1119-1143, September.
    21. Max Gillman & Michal Kejak & Michal Pakoš, 2015. "Learning about Rare Disasters: Implications For Consumption and Asset Prices," Review of Finance, European Finance Association, vol. 19(3), pages 1053-1104.
    22. Emi Nakamura & Dmitriy Sergeyev & Jón Steinsson, 2017. "Growth-Rate and Uncertainty Shocks in Consumption: Cross-Country Evidence," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(1), pages 1-39, January.
    23. Sule Alan & Thomas Crossley & Hamish Low, 2012. "Saving on a Rainy Day, Borrowing for a Rainy Day," Koç University-TUSIAD Economic Research Forum Working Papers 1212, Koc University-TUSIAD Economic Research Forum.
    24. Lucio Sarno & Maik Schmeling, 2014. "Which Fundamentals Drive Exchange Rates? A Cross‐Sectional Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(2-3), pages 267-292, March.
    25. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    26. Oscar Jorda & Sanjay R. Singh & Alan M. Taylor, 2022. "Longer-Run Economic Consequences of Pandemics," The Review of Economics and Statistics, MIT Press, vol. 104(1), pages 166-175, March.
    27. Orazio P. Attanasio & Lucio Picci & Antonello E. Scorcu, 2000. "Saving, Growth, and Investment: A Macroeconomic Analysis Using a Panel of Countries," The Review of Economics and Statistics, MIT Press, vol. 82(2), pages 182-211, May.
    28. Aizenman, Joshua & Noy, Ilan, 2015. "Saving and the long shadow of macroeconomic shocks," Journal of Macroeconomics, Elsevier, vol. 46(C), pages 147-159.
    29. Emmanuel Farhi & Xavier Gabaix, 2016. "Editor's Choice Rare Disasters and Exchange Rates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(1), pages 1-52.
    30. Rietz, Thomas A., 1988. "The equity risk premium a solution," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 117-131, July.
    31. Christopher D. Carroll, 1992. "The Buffer-Stock Theory of Saving: Some Macroeconomic Evidence," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 23(2), pages 61-156.
    32. Emi Nakamura & Jón Steinsson & Robert Barro & José Ursúa, 2013. "Crises and Recoveries in an Empirical Model of Consumption Disasters," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(3), pages 35-74, July.
    33. Robert J. Barro, 2009. "Rare Disasters, Asset Prices, and Welfare Costs," American Economic Review, American Economic Association, vol. 99(1), pages 243-264, March.
    34. Sommer Martin, 2007. "Habit Formation and Aggregate Consumption Dynamics," The B.E. Journal of Macroeconomics, De Gruyter, vol. 7(1), pages 1-25, August.
    35. repec:hal:pseose:halshs-01109372 is not listed on IDEAS
    36. Robert J. Barro & José F. Ursúa, 2012. "Rare Macroeconomic Disasters," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 83-109, July.
    37. Adema, Yvonne & Pozzi, Lorenzo, 2015. "Business cycle fluctuations and household saving in OECD countries: A panel data analysis," European Economic Review, Elsevier, vol. 79(C), pages 214-233.
    38. Robert J. Barro & Jose F. Ursua, 2008. "Macroeconomic Crises since 1870," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 39(1 (Spring), pages 255-350.
    39. Gerdie Everaert & Lorenzo Pozzi, 2014. "The Predictability Of Aggregate Consumption Growth In Oecd Countries: A Panel Data Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 431-453, April.
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    More about this item

    Keywords

    consumption; saving; macroeconomic disasters; Covid-19; panel data;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth

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