Abstract
Impulse response functions (IRFs) are often used to analyze the dynamic behavior of a vector autoregressive (VAR) system. In many applications of VAR modelling, the variables are log-transformed before the model is estimated. If this is the case, the results of the IRFs do not have a direct interpretation, since they are also log-transformed. In this paper, we present explicit expressions for computing impulse response functions that are expressed in the levels of the variables, given a log-log transformed model. We illustrate the methodology by an application in marketing. (c) 2004 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.
Original language | English |
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Pages (from-to) | 279-289 |
Number of pages | 11 |
Journal | International Journal of Forecasting |
Volume | 21 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2005 |
Keywords
- VAR models
- log-transformation
- impulse response functions
- PRICE PROMOTIONS
- TIME-SERIES
- IMPACT