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Reconsidering the macroeconomics of the oil price in Germany: testing for causality in the frequency domain

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  • Marc Gronwald

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  • Marc Gronwald, 2009. "Reconsidering the macroeconomics of the oil price in Germany: testing for causality in the frequency domain," Empirical Economics, Springer, vol. 36(2), pages 441-453, May.
  • Handle: RePEc:spr:empeco:v:36:y:2009:i:2:p:441-453
    DOI: 10.1007/s00181-008-0204-3
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    References listed on IDEAS

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    1. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2008. "Money growth, output gaps and inflation at low and high frequency: Spectral estimates for Switzerland," Journal of Economic Dynamics and Control, Elsevier, vol. 32(2), pages 411-435, February.
    2. Paul Beaudry & Franck Portier, 2006. "Stock Prices, News, and Economic Fluctuations," American Economic Review, American Economic Association, vol. 96(4), pages 1293-1307, September.
    3. Kaul, Gautam & Seyhun, H Nejat, 1990. " Relative Price Variability, Real Shocks, and the Stock Market," Journal of Finance, American Finance Association, vol. 45(2), pages 479-496, June.
    4. Alan A. Carruth & Mark A. Hooker & Andrew J. Oswald, 1998. "Unemployment Equilibria And Input Prices: Theory And Evidence From The United States," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 621-628, November.
    5. Mark A. Hooker, 1999. "Oil and the macroeconomy revisited," Finance and Economics Discussion Series 1999-43, Board of Governors of the Federal Reserve System (U.S.).
    6. Knut Anton Mork & Oystein Olsen & Hans Terje Mysen, 1994. "Macroeconomic Responses to Oil Price Increases and Decreases in Seven OECD Countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 19-36.
    7. Hamilton, James D., 2003. "What is an oil shock?," Journal of Econometrics, Elsevier, vol. 113(2), pages 363-398, April.
    8. Huang, Bwo-Nung & Hwang, M.J. & Peng, Hsiao-Ping, 2005. "The asymmetry of the impact of oil price shocks on economic activities: An application of the multivariate threshold model," Energy Economics, Elsevier, vol. 27(3), pages 455-476, May.
    9. Kiseok Lee & Shawn Ni & Ronald A. Ratti, 1995. "Oil Shocks and the Macroeconomy: The Role of Price Variability," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 39-56.
    10. Sadorsky, Perry, 1999. "Oil price shocks and stock market activity," Energy Economics, Elsevier, vol. 21(5), pages 449-469, October.
    11. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    12. Jones, Charles M & Kaul, Gautam, 1996. " Oil and the Stock Markets," Journal of Finance, American Finance Association, vol. 51(2), pages 463-491, June.
    13. Roger D. Huang & Ronald W. Masulis & Hans R. Stoll, 1996. "Energy shocks and financial markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 16(1), pages 1-27, February.
    14. Peter Ferderer, J., 1996. "Oil price volatility and the macroeconomy," Journal of Macroeconomics, Elsevier, vol. 18(1), pages 1-26.
    15. Lilien, David M, 1982. "Sectoral Shifts and Cyclical Unemployment," Journal of Political Economy, University of Chicago Press, vol. 90(4), pages 777-793, August.
    16. Yao, Feng & Hosoya, Yuzo, 2000. "Inference on one-way effect and evidence in Japanese macroeconomic data," Journal of Econometrics, Elsevier, vol. 98(2), pages 225-255, October.
    17. Clive, W.J. & Lin, Jin-Lung, 1995. "Causality in the Long Run," Econometric Theory, Cambridge University Press, vol. 11(03), pages 530-536, June.
    18. Granger, C. W. J., 1980. "Testing for causality : A personal viewpoint," Journal of Economic Dynamics and Control, Elsevier, vol. 2(1), pages 329-352, May.
    19. Hamilton, James D, 1983. "Oil and the Macroeconomy since World War II," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 228-248, April.
    20. Rebeca Jimenez-Rodriguez & Marcelo Sanchez, 2005. "Oil price shocks and real GDP growth: empirical evidence for some OECD countries," Applied Economics, Taylor & Francis Journals, vol. 37(2), pages 201-228.
    21. Breitung, Jorg & Candelon, Bertrand, 2006. "Testing for short- and long-run causality: A frequency-domain approach," Journal of Econometrics, Elsevier, vol. 132(2), pages 363-378, June.
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    Citations

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    Cited by:

    1. Tiwari, Aviral Kumar, 2013. "Oil prices and the macroeconomy reconsideration for Germany: Using continuous wavelet," Economic Modelling, Elsevier, vol. 30(C), pages 636-642.
    2. Yanfeng Wei, 2015. "The informational role of commodity prices in formulating monetary policy: a reexamination under the frequency domain," Empirical Economics, Springer, vol. 49(2), pages 537-549, September.
    3. Bekiros, Stelios & Nguyen, Duc Khuong & Uddin, Gazi Salah & Sjö, Bo, 2016. "On the time scale behavior of equity-commodity links: Implications for portfolio management," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 30-46.
    4. Karoline Krätschel & Torsten Schmidt, 2012. "Long-run Trends or Short-run Fluctuations – What Establishes the Correlation between Oil and Food Prices?The Interplay of Standardized Tests and Incentives – An Econometric Analysis with Data from PIS," Ruhr Economic Papers 0357, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    5. Croux, Christophe & Reusens, Peter, 2013. "Do stock prices contain predictive power for the future economic activity? A Granger causality analysis in the frequency domain," Journal of Macroeconomics, Elsevier, vol. 35(C), pages 93-103.
    6. Aviral Kumar Tiwari, 2012. "Tax Burden and GDP: Evidence from Frequency Doman Approach for the USA," Economics Bulletin, AccessEcon, vol. 32(1), pages 147-159.
    7. BADRY Hechmy, 2016. "Financial Deepening-Economic Performance Nexus,An attempt to Study Granger-Causality through Spectral Time Series Analysis in MENA Countries," International Journal of Academic Research in Management and Business, International Journal of Academic Research in Management and Business, vol. 1(1), pages 24-38, July.
    8. Krätschell, Karoline & Schmidt, Torsten, 2013. "Long-run trends or short-run fluctuations What establishes the correlation between oil and food prices?," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79798, Verein für Socialpolitik / German Economic Association.
    9. Wei, Yanfeng & Guo, Xiaoying, 2016. "An empirical analysis of the relationship between oil prices and the Chinese macro-economy," Energy Economics, Elsevier, vol. 56(C), pages 88-100.
    10. Wei Yanfeng, 2013. "The Dynamic Relationships between Oil Prices and the Japanese Economy: A Frequency Domain Analysis," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 57-67, May.
    11. repec:bpj:sndecm:v:21:y:2017:i:3:p:12:n:3 is not listed on IDEAS
    12. Yuliya Lovcha & Alejandro Perez-Laborda, 2017. "Structural shocks and dynamic elasticities in a long memory model of the US gasoline retail market," Empirical Economics, Springer, vol. 53(2), pages 405-422, September.
    13. repec:ipg:wpaper:2014-441 is not listed on IDEAS
    14. Tiwari, Aviral Kumar, 2012. "An empirical investigation of causality between producers' price and consumers' price indices in Australia in frequency domain," Economic Modelling, Elsevier, vol. 29(5), pages 1571-1578.
    15. Krätschell, Karoline & Schmidt, Torsten, 2012. "Long-run Trends or Short-run Fluctuations – What Establishes the Correlation between Oil and Food Prices?The Interplay of Standardized Tests and Incentives – An Econometric Analysis with Data from PIS," Ruhr Economic Papers 357, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    16. repec:eee:energy:v:140:y:2017:i:p1:p:185-197 is not listed on IDEAS
    17. repec:zbw:rwirep:0357 is not listed on IDEAS

    More about this item

    Keywords

    Oil price; Causality; Frequency domain; Spectral analysis; Vector autoregressions; C22; E22;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity

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