Li, Maddala, and Rush (1995) proposed a low-pass spectral filter method to estimate cointegrating vectors in small samples. This paper tests the effectiveness of the approach in the presence of measurement error. Two other methods, valid under the assumption of stationarity, are also tested. Email: [email protected], [email protected] Keyword: Measurement error, cointegrating vector, filter...

In this paper, I find that real U.S. GDP is better characterized as a trend stationary Markov-switching process than as having a (regime-dependent) unit root. I examine the effects of both assumptions on the analysis of business cycle features and their implications for the persistence of the dynamic response of output to a random disturbance. JEL Classification: E32, C22, E27.

The standard linear technique of impulse response function analysis is extended to the nonlinear case by de"ning a generalized impulse response function. Measures of persistence and asymmetry in response are constructed for a wide class of time series. ( 2000 Elsevier Science B.V. All rights reserved. JEL classixcation: C22; C51; C52; E32

This paper provides a theoretical functional representation of the density function related to the DickeyFuller random variable. The approach is extended to cover the multivariate case in two special frameworks: the independence and the perfect correlation of the series. key words: Dickey-Fuller distribution, unit root JEL codes: C12, C16, C22

We study the effects of government spending by using a structural, large dimensional, dynamic factor model. We find that the government spending shock is non-fundamental for the variables commonly used in the structural VAR literature, so that its impulse response functions cannot be consistently estimated by means of a VAR. Government spending raises both consumption and investment, with no ev...

Included here are two appendices. Appendix A has information on model priors, selected material on the data, and some details on computation. Appendix B contains an extended treatment of alternative measures of stress, and alternative measures of real activity, including how these measures compare to the base case model in terms of picking up the same state probabilities and, in some cases, qua...

In this paper we propose a new set of multivariate stochastic models that capture time varying seasonality within the vector innovations structural time series (VISTS) framework. These models encapsulate exponential smoothing methods in a multivariate setting. The models considered are the local level, local trend and damped trend VISTS models with an additive multivariate seasonal component. W...

This paper proposes a reduced rank regression framework for constructing coincident and leading indexes. Based on a formal definition that requires that the first differences of the leading index are the best linear predictor of the first differences of the coincident index, it is shown that the notion of polynomial serial correlation common features can be used to build these composite variabl...