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Ambiguous economic news and heterogeneity: What explains asymmetric consumption responses?

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We study information and consumption and whether consumers respond symmetrically to good and bad news. We define a news variable and show that it has explanatory power. We, then, test the hypothesis that consumers react more to bad news than to good news using the PSID to analyze the response of households’ consumption to news about aggregate future income.We find that our news variable helps one predict households’ consumption change and that consumption responses are larger following negative (bad) news than positive (good) news and suggest that observed asymmetric consumption responses could be due to agents’ aversion to ambiguous information.

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  • Luisa Corrado & Edgar Silgado-Gómez & Donghoon Yoo & Robert Waldmann, 2018. "Ambiguous economic news and heterogeneity: What explains asymmetric consumption responses?," CEIS Research Paper 443, Tor Vergata University, CEIS, revised 19 Sep 2019.
  • Handle: RePEc:rtv:ceisrp:443
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    1. Zeldes, Stephen P, 1989. "Consumption and Liquidity Constraints: An Empirical Investigation," Journal of Political Economy, University of Chicago Press, vol. 97(2), pages 305-346, April.
    2. Olivier J. Blanchard & Jean-Paul L'Huillier & Guido Lorenzoni, 2013. "News, Noise, and Fluctuations: An Empirical Exploration," American Economic Review, American Economic Association, vol. 103(7), pages 3045-3070, December.
    3. Andreas Fagereng & Martin B. Holm & Gisle J. Natvik, 2021. "MPC Heterogeneity and Household Balance Sheets," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(4), pages 1-54, October.
    4. Scott R. Baker, 2018. "Debt and the Response to Household Income Shocks: Validation and Application of Linked Financial Account Data," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1504-1557.
    5. Orazio Attanasio & Luigi Pistaferri, 2014. "Consumption Inequality over the Last Half Century: Some Evidence Using the New PSID Consumption Measure," American Economic Review, American Economic Association, vol. 104(5), pages 122-126, May.
    6. Emi Nakamura & Jón Steinsson, 2018. "High-Frequency Identification of Monetary Non-Neutrality: The Information Effect," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1283-1330.
    7. Tullio Jappelli & Luigi Pistaferri, 2014. "Fiscal Policy and MPC Heterogeneity," American Economic Journal: Macroeconomics, American Economic Association, vol. 6(4), pages 107-136, October.
    8. L’Huillier, Jean-Paul & Yoo, Donghoon, 2017. "Bad news in the Great Depression, the Great Recession, and other U.S. recessions: A comparative study," Journal of Economic Dynamics and Control, Elsevier, vol. 81(C), pages 79-98.
    9. Christopher Carroll & Jiri Slacalek & Kiichi Tokuoka & Matthew N. White, 2017. "The distribution of wealth and the marginal propensity to consume," Quantitative Economics, Econometric Society, vol. 8(3), pages 977-1020, November.
    10. Cao, Dan & L’Huillier, Jean-Paul, 2018. "Technological revolutions and the Three Great Slumps: A medium-run analysis," Journal of Monetary Economics, Elsevier, vol. 96(C), pages 93-108.
    11. Powell, Melanie & Ansic, David, 1997. "Gender differences in risk behaviour in financial decision-making: An experimental analysis," Journal of Economic Psychology, Elsevier, vol. 18(6), pages 605-628, November.
    12. Sydney C. Ludvigson & Serena Ng, 2009. "Macro Factors in Bond Risk Premia," The Review of Financial Studies, Society for Financial Studies, vol. 22(12), pages 5027-5067, December.
    13. Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2015. "Measuring Uncertainty," American Economic Review, American Economic Association, vol. 105(3), pages 1177-1216, March.
    14. Christopher D. Carroll, 1994. "How does Future Income Affect Current Consumption?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(1), pages 111-147.
    15. Jean‐Paul L'Huillier & Donghoon Yoo, 2019. "Where is the GE? Consumption Dynamics in DSGEs," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(6), pages 1491-1502, September.
    16. Karen E. Dynan, 2000. "Habit Formation in Consumer Preferences: Evidence from Panel Data," American Economic Review, American Economic Association, vol. 90(3), pages 391-406, June.
    17. Guido Lorenzoni, 2009. "A Theory of Demand Shocks," American Economic Review, American Economic Association, vol. 99(5), pages 2050-2084, December.
    18. Caballero, Ricardo J., 1990. "Consumption puzzles and precautionary savings," Journal of Monetary Economics, Elsevier, vol. 25(1), pages 113-136, January.
    19. Christopher D. Carroll & Misuzu Otsuka & Jiri Slacalek, 2011. "How Large Are Housing and Financial Wealth Effects? A New Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(1), pages 55-79, February.
    20. Surico, Paolo & Bunn, Philip & Reinold, Kate & LeRoux, Jeanne, 2017. "The Consumption Response to Positive and Negative Income Changes," CEPR Discussion Papers 11829, C.E.P.R. Discussion Papers.
    21. Bunn, Philip & Le Roux, Jeanne & Reinold, Kate & Surico, Paolo, 2018. "The consumption response to positive and negative income shocks," Journal of Monetary Economics, Elsevier, vol. 96(C), pages 1-15.
    22. 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.
    23. Matteo Iacoviello, 2011. "Housing wealth and consumption," International Finance Discussion Papers 1027, Board of Governors of the Federal Reserve System (U.S.).
    24. Yoo, Donghoon, 2019. "Ambiguous information, permanent income, and consumption fluctuations," European Economic Review, Elsevier, vol. 119(C), pages 79-96.
    25. Renate Schubert, 1999. "Financial Decision-Making: Are Women Really More Risk-Averse?," American Economic Review, American Economic Association, vol. 89(2), pages 381-385, May.
    26. Deaton, Angus, 1992. "Understanding Consumption," OUP Catalogue, Oxford University Press, number 9780198288244.
    27. Clovis Kerdrain, 2011. "How Important is Wealth for Explaining Household Consumption Over the Recent Crisis?: An Empirical Study for the United States, Japan and the Euro Area," OECD Economics Department Working Papers 869, OECD Publishing.
    28. Jeffrey C. Fuhrer, 2000. "Habit Formation in Consumption and Its Implications for Monetary-Policy Models," American Economic Review, American Economic Association, vol. 90(3), pages 367-390, June.
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    More about this item

    Keywords

    Consumption; asymmetry; expectations; noisy information;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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