The Analysis of Nonstationary Time Series Using Regression, Correlation and Cointegration with an Application to Annual Mean Temperature and Sea Level
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- Søren Johansen, 2010. "The analysis of nonstationary time series using regression, correlation and cointegration with an application to annual mean temperature and sea level," CREATES Research Papers 2010-69, Department of Economics and Business Economics, Aarhus University.
- Søren Johansen, 2011. "The analysis of nonstationary time series using regression, correlation and cointegration - with an application to annual mean temperature and sea level," DSS Empirical Economics and Econometrics Working Papers Series 2011/4, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
References listed on IDEAS
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More about this item
Keywordsregression correlation cointegration; model based inference; likelihood inference; annual mean temperature; sea level;
- 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
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2010-10-30 (All new papers)
- NEP-ECM-2010-10-30 (Econometrics)
- NEP-ETS-2010-10-30 (Econometric Time Series)
- NEP-ORE-2010-10-30 (Operations Research)
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