This paper is concerned with the impact of the BSE crisis in the UK and focuses on the spread between retail and farm prices. From a theoretical perspective we show that if market power has an effect on the spread between retail and farm prices then this determines the specification of the...

An important issue in macroeconomic modelling using times series data centers around the question of whether the observed series is generated by a stationary or a non-stationary process. Recent research has shown that there is a seasonal cycle in the US economy that closely mirrors business...

This thesis addresses the issue of estimating persistence of economic shocks using time series models. First, it is shown that the log likelihood function for ARIMA models is not strictly quadratic with respect to the persistence estimate. This result explains why the persistence literature has...

One of the most important aspects in analyzing economic time series is to specify whether the observed series is generated by a stationary or non-stationary process, since most macroeconomic variables could be generated by a unit autoregressive root process. This determination as to whether or...

This study develops a framework for the fitting, analysis, and forecasting of linear and nonlinear time series models. Through Priestley's State Dependent Model and the Kalman filter algorithm, linear, nonlinear and nonstationary models have been fitted to the US unemployment rate series. The...