Time Series Analysis, Cointegration, and Applications
AbstractThe two prize winners in Economics this year would describe themselves as "Econometricians," so I thought that I should start by explaining that term. One can begin with the ancient subject of Mathematics which is largely concerned with the discovery of relationships between deterministic variables using a rigorous argument. (A deterministic variable is one whose value is known with certainty.) However, by the middle of the last millennium it became clear that some objects were not deterministic, they had to be described with the use of probabilities, so that Mathematics grew a substantial sub-field known as "Statistics." This later became involved with the analysis of data and a number of methods have been developed for data having what may be called "standard properties."
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Bibliographic InfoPaper provided by Nobel Prize Committee in its series Nobel Prize in Economics documents with number 2003-7.
Length: 7 pages
Date of creation: 08 Dec 2003
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Web page: http://www.nobelprize.org
time series; cointegration;
Other versions of this item:
- Clive W.J. Granger, 2004. "Time Series Analysis, Cointegration, and Applications," American Economic Review, American Economic Association, vol. 94(3), pages 421-425, June.
- Granger, Clive W.J., 2004. "Time Series Analysis, Cointegration, and Applications," University of California at San Diego, Economics Working Paper Series qt2nb9f668, Department of Economics, UC San Diego.
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
- Allen, P. Geoffrey & Morzuch, Bernard J., 2006. "Twenty-five years of progress, problems, and conflicting evidence in econometric forecasting. What about the next 25 years?," International Journal of Forecasting, Elsevier, vol. 22(3), pages 475-492.
- Bevilacqua, Franco, 2006. "Random walks and cointegration relationships in international parity conditions between Germany and USA for the Bretton-Woods period," UNU-MERIT Working Paper Series 016, United Nations University, Maastricht Economic and social Research and training centre on Innovation and Technology.
- Hamzah, Siti Nur Zahara & Lau, Evan, 2013.
"The Role of Social Factors in Explaining Crime,"
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- Emanuele Felice & Josep Pujol Andreu, 2013. "GDP and life expectancy in Italy and Spain over the long-run (1861-2008): insights from a time-series approach," UHE Working papers 2013_06, Universitat Autònoma de Barcelona, Departament d'Economia i Història Econòmica, Unitat d'Història Econòmica.
- Muyambiri, Brian & Chiwira, Oscar & Enowbi Batuo, Michael & Chiranga, Ngonidzashe, 2010. "The Causal Relationship between Private and Public Investment in Zimbabwe," MPRA Paper 26671, University Library of Munich, Germany.
- Bevilacqua, Franco, 2006. "Random walks and cointegration relationships in international parity conditions between Germany and USA for the post Bretton-Woods period," UNU-MERIT Working Paper Series 012, United Nations University, Maastricht Economic and social Research and training centre on Innovation and Technology.
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