A Structured VAR for Denmark under Changing Monetary Regimes
ABSTRACT Using recently developed statistical tools for analyzing cointegrated I(2) data, this article models money, income, prices, and interest rates in Denmark. The final model describes the dynamic adjustment to short-run changes of the process, to deviations from long-run steady states, and to several political interventions. It provides new insights about the effects of the liberalization of trade and capital in a small open European economy.
- SourceAvailable from: Takamitsu Kurita[Show abstract] [Hide abstract]
ABSTRACT: This paper presents likelihood analysis of the I(2) cointegrated vector autoregression with piecewise linear deterministic terms. Limiting behavior of the maximum likelihood estimators are derived, which is used to further derive the limiting distribution of the likelihood ratio statistic for the cointegration ranks, extending the result for I(2) models with a linear trend in Nielsen and Rahbek (2007) and for I(1) models with piecewise linear trends in Johansen, Mosconi, and Nielsen (2000). The provided asymptotic theory extends also the results in Johansen, Juselius, Frydman, and Goldberg (2009) where asymptotic inference is discussed in detail for one of the cointegration parameters. To illustrate, an empirical analysis of US consumption, income and wealth, 1965 - 2008, is performed, emphasizing the importance of a change in nominal price trends after 1980.SSRN Electronic Journal 07/2009; DOI:10.2139/ssrn.1438033
Article: Money Demand in the Netherlands[Show abstract] [Hide abstract]
ABSTRACT: In this paper we discuss money demand in the Netherlands over the period 1979-1999. The model it with a VAR integrated of order two and use full maximumlikelihood for inference of testing. We find a stable money demand function over the period considered. It depends on the short term interest rate available to private investors, not the rate in the money market.
- [Show abstract] [Hide abstract]
ABSTRACT: This paper discusses techniques for estimating structural vector autoregressions. Especially when monetary policy shocks are estimated, VAR residuals turn out to be leptokurtic. It is argued that this is no coincidence but follows directly from the properties of monetary policy decisions. The paper proceeds to suggest an independent components estimator (ICE) that works well with leptokurtic residuals. Furthermore, the ICE permits a closer link between theory and estimation because it avoids informal imposition of zero restrictions. Using the exercises by Blanchard and Quah (1989) and Christiano et al. (1999), the new estimator is demonstrated and contrasted with current modelling techniques.