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Oil and the Macroeconomy: A Structural VAR Analysis with Sign Restrictions

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  • Lippi, Francesco
  • Nobili, Andrea

Abstract

We consider an economy where the oil price, industrial production, and other macroeconomic variables fluctuate in response to a variety of fundamental shocks. We estimate the effects of different structural shocks using robust sign restrictions suggested by theory using US data for the 1973-2007 period. The estimates show that identifying the shock underlying the oil price change is important to predict the sign and the magnitude of its correlates with the US production. The results offer a natural explanation for the smaller correlation between oil prices and US production in the recent years compared to the seventies.

Suggested Citation

  • Lippi, Francesco & Nobili, Andrea, 2008. "Oil and the Macroeconomy: A Structural VAR Analysis with Sign Restrictions," CEPR Discussion Papers 6830, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:6830
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    References listed on IDEAS

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    Cited by:

    1. Ercio Muñoz & Miguel Ricaurte & Mariel Siravegna, 2012. "Combinación de Proyecciones para el Precio del Petróleo: Aplicación y Evaluación de Metodologías," Working Papers Central Bank of Chile 660, Central Bank of Chile.
    2. Busch, Ulrike & Scharnagl, Michael & Scheithauer, Jan, 2010. "Loan supply in Germany during the financial crisis," Discussion Paper Series 1: Economic Studies 2010,05, Deutsche Bundesbank.
    3. Pažický Martin, 2021. "Oil price shock in the US and the euro area – evidence from the shadow rate and the term premium," Review of Economic Perspectives, Sciendo, vol. 21(3), pages 309-346, September.
    4. Farhan Ahmed & Muhammad Osama Daudpota & Muhammad Kashif, 2017. "Oil Price Shocks And Industry Level Production Using Vector Autoregression: Empirical Evidence From Pakistan," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 11(3), pages 13-25.
    5. Ziesemer, Thomas, 2009. "Growth with imported resources: On the sustainability of U.S. growth and foreign debt," MERIT Working Papers 2009-028, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    6. Rondina, Francesca, 2012. "The role of model uncertainty and learning in the US postwar policy response to oil prices," Journal of Economic Dynamics and Control, Elsevier, vol. 36(7), pages 1009-1041.
    7. Canova, Fabio & Paustian, Matthias, 2011. "Business cycle measurement with some theory," Journal of Monetary Economics, Elsevier, vol. 58(4), pages 345-361.
    8. Y lmaz BAYAR & Cuneyt KILIC, 2014. "Effects of Oil and Natural Gas Prices on Industrial Production in the Eurozone Member Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 4(2), pages 238-247.

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    More about this item

    Keywords

    Business cycle; Oil prices; Structural var; Sign restrictions;
    All these keywords.

    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
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • F4 - International Economics - - Macroeconomic Aspects of International Trade and Finance

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