A time-varying quantile can be fitted to a sequence of observations by formulating a time series model for the corresponding population quantile and iteratively applying a suitably modified state space signal extraction algorithm. Quantiles estimated in this way provide information on various...

A time-varying quantile can be fitted to a sequence of observations by formulating a time series model for the corresponding population quantile and iteratively applying a suitably modified state space signal extraction algorithm. It is shown that such time-varying quantiles satisfy the defining...

The paper presents various tests for assessing whether a time series is subject to drift. We first consider departures from the null hypothesis of no drift against the alternative of a deterministic and/or a non-stationary stochastic drift with initial value zero. We show that the standard...

This paper presents the theoretical development of new threshold autoregressive models based on trended time series. The theoretical arguments underlying the models are outlined and a nonlinear economic model is used to derive the specification of the empirical econometric models. Estimation and...

A fin de interpretar el desempeño del crédito bancario observado durante los años 90 y principios del actual decenio en Colombia, se construyó un modelo teórico de equilibrio general dinámico. Además, se puso a prueba econométrica la ecuación generada en tal modelo que establece una...

Este documento describe la evolución de la tasa de desempleo urbano en Colombia en el período 1984:1-2000:2. Incluye evidencia sobre algunas de las propiedades de las series de tiempo del mercado laboral tales como las tasas de desempleo, de ocupación y de participación. Se estiman las...

This work presents some evidence of the nonlinear and inverse relationschip between the share prices on the Bogotá stock market and the interest rate as measured by the interbank loan interest rate, which is to some extent affected by monetary policy. The model captures the stylised fact on...

We propose a theoretical framework for assessing whether a forecast model estimated over one period can provide good forecasts over a subsequent period. We formalize this idea by defining a forecast breakdown as a situation in which the out-of-sample performance of the model, judged by some loss...

We evaluate various modelsí relative performance in forecasting future US output growth and inflation on a monthly basis. Our approach takes into account the possibility that the modelsí relative performance can be varying over time. We show that the modelsí relative performance has, in fact,...