Signs of Impact Effects in Time Series Regression Models
10 Pages Posted: 25 Oct 2013
There are 2 versions of this paper
Signs of Impact Effects in Time Series Regression Models
Date Written: October 24, 2013
Abstract
In this paper we consider the problem of interpreting the signs of the estimated coefficients in multivariate time series regressions where the regressors are correlated. Using a continuous time model, we argue that focussing on the signs of individual coefficients in such regressions could be misleading and argue in favour of allowing for the indirect effects that arise due to the historical correlations amongst the regressors. For estimation from discrete time data we show that the sign of the total impact, including the direct and indirect effects, of a regressor can be obtained using a simple regression that only includes the regressor of interest.
Keywords: regression coefficients, impact effects
JEL Classification: C100, C500
Suggested Citation: Suggested Citation
Do you have negative results from your research you’d like to share?
Recommended Papers
-
Large Panel Data Models with Cross-Sectional Dependence: A Survey
-
Large Panel Data Models with Cross-Sectional Dependence: A Survey
-
Signs of Impact Effects in Time Series Regression Models
By M. Hashem Pesaran and Ron Smith
-
Debt, Inflation and Growth: Robust Estimation of Long-Run Effects in Dynamic Panel Data Models
By Alexander Chudik, Kamiar Mohaddes, ...