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An American Macroeconomic Picture: Supply and Demand Shocks in the Frequency Domain

Author

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  • Mario Forni
  • Luca Gambetti
  • Antonio Granese
  • Luca Sala
  • Stefano Soccorsi

Abstract

We provide a few new empirical facts that theoretical models should feature in order to be consistent with the data. (i) There are two classes of shocks: demand and supply. Supply shocks have long-run effects on economic activity; demand shocks do not. (ii) Both supply and demand shocks are important sources of business cycles' fluctuations. (iii) Supply shocks are the primary driver for consumption fluctuations, demand shocks for investment. (iv) The demand shock is closely related to the credit spread, while the supply shock is essentially a news shock. The results are obtained using a novel frequency domain method.
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Suggested Citation

  • Mario Forni & Luca Gambetti & Antonio Granese & Luca Sala & Stefano Soccorsi, 2024. "An American Macroeconomic Picture: Supply and Demand Shocks in the Frequency Domain," Working Papers 414313661, Lancaster University Management School, Economics Department.
    • Handle: RePEc:lan:wpaper:414313661
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    References listed on IDEAS

    as
    1. Alexei Onatski, 2009. "Testing Hypotheses About the Number of Factors in Large Factor Models," Econometrica, Econometric Society, vol. 77(5), pages 1447-1479, September.
    2. Forni, Mario & Giannone, Domenico & Lippi, Marco & Reichlin, Lucrezia, 2009. "Opening The Black Box: Structural Factor Models With Large Cross Sections," Econometric Theory, Cambridge University Press, vol. 25(5), pages 1319-1347, October.
    3. Forni, Mario & Gambetti, Luca, 2014. "Sufficient information in structural VARs," Journal of Monetary Economics, Elsevier, vol. 66(C), pages 124-136.
    4. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    5. Hallin, Marc & Liska, Roman, 2007. "Determining the Number of Factors in the General Dynamic Factor Model," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 603-617, June.
    6. Forni, Mario & Gambetti, Luca & Lippi, Marco & Sala, Luca, 2020. "Common Component Structural VARs," CEPR Discussion Papers 15529, C.E.P.R. Discussion Papers.
    7. Bai, Jushan & Ng, Serena, 2007. "Determining the Number of Primitive Shocks in Factor Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 52-60, January.
    8. Amengual, Dante & Watson, Mark W., 2007. "Consistent Estimation of the Number of Dynamic Factors in a Large N and T Panel," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 91-96, January.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • 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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