In the last two decades, there has been a lot of empirical evidence suggesting that many macroeconometric and financial models (e.g. for inflation, interest rates, or exchange rates) are subject to both parameter instability and identification problems. In this paper, we address both issues in a...

Resumen: En este trabajo se investigan los factores que determinan el precio de la energía eléctrica en el mercado colombiano. También se lleva a cabo un ejercicio de pronóstico de largo plazo para los precios de la energía transados en la bolsa energética, para este propósito utilizamos...

One of the most important structural relationships for policy makers is the Phillips curve; thus, this topic is the focus of ongoing theoretical and empirical research. We estimate the degree of information stickiness implied by the sticky information Phillips curve proposed by Mankiw and Reis...

This paper examines the issue of monetary policy convergence for members of the Southern African Development Community (SADC) using the Markov Switching unit root procedure. The results from the conventional unit root tests including the Dickey-Fuller and the modified Dickey-Fuller reveal that...

In this study we investigate using the mean reversion processes in financial risk management, as they provide an good description of stock price uctuations and market risks. This paper does not aim at being exhaustive, but gives examples for practically implementable models allowing for stylised...

Predictive return regressions with persistent regressors are typically plagued by (asymptotically) biased/inconsistent estimates of the slope, non-standard or potentially even spurious statistical inference, and regression unbalancedness. We alleviate the problem of unbalancedness in the...

The measurement error problem in linear time series regression, with focus on the impact of error memory, modeled as finite-order MA processes, is considered. Three prototype models, two bivariate and one univariate ARMA, and ways of handling the problem by using instrumental variables (IVs) are...

The effects of structural breaks in dynamic panels are more complicated than in time series models as the bias can be either negative or positive. This paper focuses on the effects of mean shifts in otherwise stationary processes within an instrumental variable panel estimation framework. We...

This discussion paper was published in the <I>Journal of Econometrics</I> (2012). Vol. 171(2), 101-120.<p> A class of adaptive sampling methods is introduced for efficient posterior and predictive simulation. The proposed methods are robust in the sense that they can handle target distributions that...</p></i>

In this paper, we revisit the issue of excess sensitivity of consumption to income and address the weak instrument problem that is well documented in this literature. Using quarterly data for the U.S. economy, we first highlight the weak instrument problem by showing that the use of conventional...