This paper presents a generalized two-step maximum likelihood estimation method for partially identified vector autoregressive models. We suggest a likelihood ratio test for over-identification in a sub-system and derive the asymptotics for impulse responses and forecast-error variance...

This paper aims at identifying the main shocks, which cause movements in real GNP. It does so by searching for two shocks in the context of a VAR model, which explain the majority of the k-step ahead prediction error variances in real GNP for horizons between 0 and 5 years. We find that two...

Structural vector autoregressions (SVARs) have become a standard tool used to determine the roles of monetary policy shocks in generating cyclical fluctuations in the United States. Using both long- and short-run identifying restrictions, various authors have explored the empirical response of...

This paper uses dynamic factor analysis to investigate the sources of foreign shocks and the propagation mechanism of these disturbances into two small open economies, Australia and Canada. Panels including a variety of foreign and domestic series for each country are used to estimate the...

The present paper applies the Markov switching model with the aim of checking two industrial production features of six major Brazilian states. Firstly, we try to determine the date of business cycles and, soon afterwards, we verify the existence or not of an unobservable component that is...

This paper shows that the Mexican experience from 1945 to 2002 is, like the German hyperinflation period, a unique monetary ``natural experiment,'' where fundamental relationships, like money demand, PPP and the monetary model of exchange rate determination can be analyzed with unparalleled...

In this paper it is shown that "classical" tests can become asymptotically inadmissible (i.e. we show that there exist uniformly better tests) if the information matrix becomes stochastic: A typical example is the augmented Dickey-Fuller test for unit roots (in case of no deterministic trend. We...

The notion of cointegration was developed by Engle and Granger (1987), and since then has been considered important in the recent development of time series econometrics. Many statistical methods have been developed for the analysis of the cointegrated systems, and several methods of estimating...

We consider the estimation of a large number of GARCH models, say of the order of several hundreds. Especially in the multivariate case, the number of parameters is extremely large. To reduce this number and render estimation feasible, we regroup the series in a small number of clusters. Within...

In this paper we investigate portfolio coskewness using a quadratic market model as return generating process. It is shown that portfolios of small (large) firms have negative (positive) coskewness with market. An asset pricing model including coskewness is tested through the restrictions it...