Spurious Regression And Cointegration. Numerical Example: Romania’S M2 Money Demand
AbstractEconomic time series are, in their vast majority, integrated series so, their modelling procedure stumbles upon the problem of spurious regression. When existent, cointegration is the simplest way of eliminating the illogical correlation established between time series due to the presence of trends. The analysis of macroeconomic time series through cointegration is a common fact. Modelling the Romanian M2 money demand through cointegration and vector error correction led to somewhat significant results being a starting point for future, more complex research.
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Bibliographic InfoArticle provided by Institute for Economic Forecasting in its journal Romanian Journal for Economic Forecasting.
Volume (Year): 5 (2008)
Issue (Month): 3 (September)
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spurious regression; cointegration; money demand; error correction mechanism.;
Find related papers by JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
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