Johansen's reduced-rank maximum likelihood (ML) estimator for cointegration parameters in vector error correction models is known to produce occasional extreme outliers. Using a small monetary system and German data we illustrate the practical importance of this problem. We also consider an...

The objective of this study is to compare alternative computerized model-selection strategies in the context of the vector autoregressive (VAR) modeling framework. The focus is on a comparison of subset modeling strategies with the general-to-specific reduction approach automated by PcGets....

A central issue of monetary policy analysis is the specification of monetary policy shocks. In a structural vector autoregressive setting there has been some controversy about which restrictions to use for identifying the shocks because standard theories do not provide enough information to...

The properties of a range of maximum eigenvalue and trace tests for the coin-tegrating rank of a vector autoregressive process are compared. The tests are all likelihood-ratio-type tests and operate under different assumptions regarding the deterministic part of the data generation process. The...

Estimation of cointegrated systems via autoregressive approximation is considered in the framework developed by Saikkonen (1992, <italic>Econometric Theory</italic> 8, 1-27). The asymptotic properties of the estimated coefficients of the autoregressive error correction model (ECM) and the pure vector...

An error correction model for the demand for real M3 money is constructed for the period of 1976-1994 with real GNP, the GNP deflator, as well as a short-term and a long-term interest rate as explanatory variables. Quarterly, seasonally unadjusted data are used in estimating the model. It is...

It is argued that in structural vector autoregressive (SVAR) analysis a Markov regime switching (MS) property can be exploited to identify shocks if the reduced form error covariance matrix varies across states. The model setup is formulated and discussed and it is shown how it can be used to...

A small system of German economic variables consisting of the money stock M3, Gross National Product (GNP) and a bond rate is used to illustrate the power of cointegration analysis and the usefulness of some recently developed tools for this kind of analysis. Testing for the cointegrating rank...