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Gold rush fever in business cycles

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  • Beaudry, Paul
  • Collard, Fabrice
  • Portier, Franck

Abstract

A flexible price model of the business cycle is proposed, in which fluctuations are driven primarily by inefficient movements in investment around a stochastic trend. A boom in the model arises when investors rush to exploit new market opportunities even though the resulting investments simply crowd out the value of previous investments. A metaphor for such profit driven fluctuations are gold rushes, as they are periods of economic boom associated with expenditures aimed at securing claims near new found veins of gold. An attractive feature of the model is its capacity to provide a simple structural interpretation to the properties of a standard consumption and output Vector Autoregression.

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  • Beaudry, Paul & Collard, Fabrice & Portier, Franck, 2011. "Gold rush fever in business cycles," Journal of Monetary Economics, Elsevier, vol. 58(2), pages 84-97, March.
    • Handle: RePEc:eee:moneco:v:58:y:2011:i:2:p:84-97
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    Cited by:

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    3. Fan, Haichao & Gao, Xiang & Xu, Juanyi & Xu, Zhiwei, 2016. "News shock, firm dynamics and business cycles: Evidence and theory," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 159-180.
    4. Pavlov, Oscar, 2016. "Can firm entry explain news-driven fluctuations?," Economic Modelling, Elsevier, vol. 52(PB), pages 427-434.
    5. Paul Beaudry & Franck Portier, 2014. "Understanding Noninflationary Demand-Driven Business Cycles," NBER Macroeconomics Annual, University of Chicago Press, vol. 28(1), pages 69-130.
    6. Röhe, Oke & Stähler, Nikolai, 2020. "Demographics and the decline in firm entry: Lessons from a life-cycle model," Discussion Papers 15/2020, Deutsche Bundesbank.
    7. Ippei Fujiwara & Yasuo Hirose & Mototsugu Shintani, 2011. "Can News Be a Major Source of Aggregate Fluctuations? A Bayesian DSGE Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(1), pages 1-29, February.
    8. Sofiane Aboura & Julien Chevallier, 2014. "The cross-market index for volatility surprise," Journal of Asset Management, Palgrave Macmillan, vol. 15(1), pages 7-23, February.
    9. Paul Beaudry & Martial Dupaigne & Franck Portier, 2011. "Modeling News-Driven International Business Cycles," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 72-91, January.
    10. V. Lewis & C. Poilly, 2011. "Firm Entry, Inflation and the Monetary Transmission Mechanism," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/705, Ghent University, Faculty of Economics and Business Administration.
    11. Ayinde, Taofeek O. & Olaniran, Abeeb O. & Abolade, Onomeabure C. & Ogbonna, Ahamuefula Ephraim, 2023. "Technology shocks - Gold market connection: Is the effect episodic to business cycle behaviour?," Resources Policy, Elsevier, vol. 84(C).
    12. Kenza Benhima & Céline Poilly, 2017. "Do Misperceptions about Demand Matter? Theory and Evidence," Working Papers halshs-01518467, HAL.
    13. Beaudry, Paul & Moura, Alban & Portier, Franck, 2015. "Reexamining the cyclical behavior of the relative price of investment," Economics Letters, Elsevier, vol. 135(C), pages 108-111.
    14. Lewis, Vivien & Stevens, Arnoud, 2015. "Entry and markup dynamics in an estimated business cycle model," European Economic Review, Elsevier, vol. 74(C), pages 14-35.
    15. Nir Jaimovich & Sergio Rebelo, 2008. "News and Business Cycles in Open Economies," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(8), pages 1699-1711, December.
    16. Herrendorf, Berthold & Valentinyi, Ákos, 2022. "Endogenous sector–biased technological change and industrial policy," Economic Modelling, Elsevier, vol. 113(C).
    17. Jaimovich, Nir & Floetotto, Max, 2008. "Firm dynamics, markup variations, and the business cycle," Journal of Monetary Economics, Elsevier, vol. 55(7), pages 1238-1252, October.
    18. Chevallier, Julien, 2012. "Global imbalances, cross-market linkages, and the financial crisis: A multivariate Markov-switching analysis," Economic Modelling, Elsevier, vol. 29(3), pages 943-973.
    19. Paul Beaudry & Franck Portier, 2014. "News-Driven Business Cycles: Insights and Challenges," Journal of Economic Literature, American Economic Association, vol. 52(4), pages 993-1074, December.
    20. Lewis, Vivien & Poilly, Céline, 2012. "Firm entry, markups and the monetary transmission mechanism," Journal of Monetary Economics, Elsevier, vol. 59(7), pages 670-685.
    21. Phong Nguyen & Wei-han Liu, 2017. "Time-Varying Linkage of Possible Safe Haven Assets: A Cross-Market and Cross-asset Analysis," International Review of Finance, International Review of Finance Ltd., vol. 17(1), pages 43-76, March.
    22. Haichao Fan & Zhiwei Xu, 2014. "Firm dynamics in news-driven business cycles: the role of endogenous survival rate," Applied Economics, Taylor & Francis Journals, vol. 46(15), pages 1767-1777, May.
    23. Aboura, Sofiane & Chevallier, Julien, 2015. "Cross-market volatility index with Factor-DCC," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 132-140.
    24. Amir Yaron & Steffen Hitzemann, 2017. "Welfare Costs of Oil Shocks," 2017 Meeting Papers 1381, Society for Economic Dynamics.
    25. Wohltmann, Hans-Werner & Winkler, Roland C., 2008. "On the Non-Optimality of Information: An Analysis of the Welfare Effects of Anticipated Shocks in the New Keynesian Model," Economics Working Papers 2008-21, Christian-Albrechts-University of Kiel, Department of Economics.

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    JEL classification:

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

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