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WHAT CAN WE LEARN ABOUT NEWS SHOCKS FROM THE LATE 1990s AND EARLY 2000s BOOM-BUST PERIOD?

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  • Nadav Ben Zeev

    (BGU)

Abstract

The major boom-bust period of 1997–2003 is commonly viewed as an expectations-driven episode in which overly optimistic expectations about information and communications technology were followed by their downward revision. This paper employs a novel approach to identifying the news shocks of this period that restricts the identified shock to have its maximal three-year moving average of realizations in the 1997–1999 boom period, followed by a negative average in the bust period. I provide robust evidence that this shock raises output, hours, investment, and consumption, and accounts for the majority of their business cycle variation.
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  • Nadav Ben Zeev, 2015. "WHAT CAN WE LEARN ABOUT NEWS SHOCKS FROM THE LATE 1990s AND EARLY 2000s BOOM-BUST PERIOD?," Working Papers 1501, Ben-Gurion University of the Negev, Department of Economics.
    • Handle: RePEc:bgu:wpaper:1501
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    4. Pinter, Gabor, 2018. "Macroeconomic shocks and risk premia," LSE Research Online Documents on Economics 90370, London School of Economics and Political Science, LSE Library.
    5. Marco Stenborg Petterson & David Seim & Jesse M. Shapiro, 2023. "Bounds on a Slope from Size Restrictions on Economic Shocks," American Economic Journal: Microeconomics, American Economic Association, vol. 15(3), pages 552-572, August.
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    8. Filippo Ferroni & Jonas D. M. Fisher & Leonardo Melosi, 2022. "Usual Shocks in our Usual Models," Working Paper Series WP 2022-39, Federal Reserve Bank of Chicago.
    9. Garcia, Pablo & Jacquinot, Pascal & Lenarčič, Črt & Lozej, Matija & Mavromatis, Kostas, 2023. "Global models for a global pandemic: The impact of COVID-19 on small euro area economies," Journal of Macroeconomics, Elsevier, vol. 77(C).
    10. Ahmed, M. Iqbal & Farah, Quazi Fidia, 2022. "On the macroeconomic effects of news about innovations of information technology," Journal of Macroeconomics, Elsevier, vol. 71(C).
    11. Katarzyna Budnik & Gerhard Rünstler, 2023. "Identifying structural VARs from sparse narrative instruments: Dynamic effects of US macroprudential policies," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(2), pages 186-201, March.
    12. Nadav Ben Zeev, 2019. "Is There A Single Shock That Drives The Majority Of Business Cycle Fluctuations?," Working Papers 1906, Ben-Gurion University of the Negev, Department of Economics.
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    14. Elstner, Steffen & Grimme, Christian & Kecht, Valentin & Lehmann, Robert, 2022. "The diffusion of technological progress in ICT," European Economic Review, Elsevier, vol. 149(C).
    15. Ferreira, Leonardo N., 2022. "Forward guidance matters: Disentangling monetary policy shocks," Journal of Macroeconomics, Elsevier, vol. 73(C).
    16. Lutz Kilian & Xiaoqing Zhou, 2020. "Does drawing down the US Strategic Petroleum Reserve help stabilize oil prices?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(6), pages 673-691, September.
    17. Liao, Shian-Yu & Chen, Been-Lon, 2023. "News shocks to investment-specific technology in business cycles," European Economic Review, Elsevier, vol. 152(C).
    18. Saskia Ter Ellen & Vegard H. Larsen & Leif Anders Thorsrud, 2022. "Narrative Monetary Policy Surprises and the Media," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(5), pages 1525-1549, August.
    19. Yoonseok Choi, 2020. "Investment Shocks, Consumption Puzzle, And Business Cycles," Economic Inquiry, Western Economic Association International, vol. 58(3), pages 1387-1400, July.
    20. Robin Braun & Ralf Brüggemann, 2020. "Identification of SVAR Models by Combining Sign Restrictions With External Instruments," Working Paper Series of the Department of Economics, University of Konstanz 2020-01, Department of Economics, University of Konstanz.
    21. Canova, Fabio & Ferroni, Filippo, 2020. "A hitchhiker guide to empirical macro models," CEPR Discussion Papers 15446, C.E.P.R. Discussion Papers.
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    More about this item

    Keywords

    business cycles; investment-specific technology; news shocks; boom-bust period;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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