Old and New Spectral Techniques for Economic Time Series
AbstractThis methodological paper reviews different spectral techniques well suitable to the analysis of economic time series. While econometric time series analysis is generally yielded in the time domain, these techniques propose a complementary approach based on the frequency domain. Spectral decomposition and time series reconstruction provide a precise quantitative and formal description of the main oscillatory components of a series: thus, it is possible to formally identify trends, lowfrequency components, business cycles, seasonalities, etc. Since recent developments in spectral techniques allow to manage even with short noisy dataset, nonstationary processes, non purely periodic components these tools could be applied on economic datasets more widely than they nowadays are.
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Bibliographic InfoPaper provided by University of Turin in its series Department of Economics and Statistics Cognetti de Martiis. Working Papers with number 200809.
Length: 65 pages
Date of creation: May 2008
Date of revision:
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-06-21 (All new papers)
- NEP-ECM-2008-06-21 (Econometrics)
- NEP-ETS-2008-06-21 (Econometric Time Series)
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- Medio,Alfredo & Gallo,Giampaolo, 1995. "Chaotic Dynamics," Cambridge Books, Cambridge University Press, number 9780521484619, November.
- Klotz, Benjamin P & Neal, Larry, 1973. "Spectral and Cross-Spectral Analysis of the Long-Swing Hypothesis," The Review of Economics and Statistics, MIT Press, vol. 55(3), pages 291-98, August.
- Christophe Croux & Mario Forni & Lucrezia Reichlin, 2001.
"A measure of co-movement for economic variables: theory and empirics,"
ULB Institutional Repository
2013/10139, ULB -- Universite Libre de Bruxelles.
- Christophe Croux & Mario Forni & Lucrezia Reichlin, 2001. "A Measure Of Comovement For Economic Variables: Theory And Empirics," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 232-241, May.
- Croux, Christophe & Forni, M & Reichlin, L, 2001. "A measure of comovement for economic variables: Theory and empirics," Open Access publications from Katholieke Universiteit Leuven urn:hdl:123456789/99012, Katholieke Universiteit Leuven.
- Croux, Christophe & Forni, Mario & Reichlin, Lucrezia, 1999. "A Measure of Comovement for Economic Variables: Theory and Empirics," CEPR Discussion Papers 2339, C.E.P.R. Discussion Papers.
- Quirino Paris & Richard E. Howitt, 1998. "An Analysis of Ill-Posed Production Problems Using Maximum Entropy," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 124-138.
- Luca Stanca, 1999. "Asymmetries and nonlinearities in Italian macroeconomic fluctuations," Applied Economics, Taylor and Francis Journals, vol. 31(4), pages 483-491.
- Ximing Wu & Thanasis Stengos, 2005. "Partially adaptive estimation via the maximum entropy densities," Econometrics Journal, Royal Economic Society, vol. 8(3), pages 352-366, December.
- Scott, A. & Acemoglu, D., 1995.
"Asymmetric Business Cycles: Theory and Time-series Evidence,"
Economics Series Working Papers
99173, University of Oxford, Department of Economics.
- Acemoglu, Daron & Scott, Andrew, 1997. "Asymmetric business cycles: Theory and time-series evidence," Journal of Monetary Economics, Elsevier, vol. 40(3), pages 501-533, December.
- D. Harris & D. S. Poskitt, 2004. "Determination of cointegrating rank in partially non-stationary processes via a generalised von-Neumann criterion," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 191-217, 06.
- David Aadland, 2002.
"Detrending Time-Aggregated Data,"
2002-05, Utah State University, Department of Economics.
- Atesoglu, H Sonmez & Vilasuso, Jon, 1999. "A Band Spectral Analysis of Exports and Economic Growth in the United States," Review of International Economics, Wiley Blackwell, vol. 7(1), pages 140-52, February.
- Vinod, Hrishikesh D., 2006. "Maximum entropy ensembles for time series inference in economics," Journal of Asian Economics, Elsevier, vol. 17(6), pages 955-978, December.
- Frank, Murray Z. & Stengos, Thanasis, 1988. "Some evidence concerning macroeconomic chaos," Journal of Monetary Economics, Elsevier, vol. 22(3), pages 423-438.
- Paolo Piselli, 2004. "Business cycle non-linearities and productivity shocks," Temi di discussione (Economic working papers) 516, Bank of Italy, Economic Research and International Relations Area.
- Golan, Amos, 2002. "Information and Entropy Econometrics--Editor's View," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 1-15, March.
- Altissimo, F. & Violante, G.L., 1998. "Nonlinear VAR: Some Theory and an Application to the US GNP and Unemployment," Papers 338, Banca Italia - Servizio di Studi.
- A'Hearn, Brian & Woitek, Ulrich, 2001. "More international evidence on the historical properties of business cycles," Journal of Monetary Economics, Elsevier, vol. 47(2), pages 321-346, April.
- Neftci, Salih N, 1984. "Are Economic Time Series Asymmetric over the Business Cycle?," Journal of Political Economy, University of Chicago Press, vol. 92(2), pages 307-28, April.
- Brock, W. A., 1986. "Distinguishing random and deterministic systems: Abridged version," Journal of Economic Theory, Elsevier, vol. 40(1), pages 168-195, October.
- Carl Chiarella & Nadima El-Hassan, 1997. "Evaluation of Derivative Security Prices in the Heath-Jarrow-Morton Framework as Path Integrals Using Fast Fourier Transform Techniques," Working Paper Series 72, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
- Brock, William A. & Sayers, Chera L., 1988. "Is the business cycle characterized by deterministic chaos?," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 71-90, July.
- Hirotugu Akaike, 1969. "Fitting autoregressive models for prediction," Annals of the Institute of Statistical Mathematics, Springer, vol. 21(1), pages 243-247, December.
- Brock, William A., 2000. "Whither nonlinear?," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 663-678, June.
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