In this paper we have demonstrated the implications of incorrectly normalising the parameters of a reduced rank regression model to achieve global identification, and presented a method for estimating this model without using the ordering restrictions imposed in previous Bayesian and frequentist...

The analysis of economic time series assumes specific economic behaviour of a representative agent. The data used in analysis is generated by aggregating observations of all individuals in a population. This is valid only if all members of a population have the same data generating process, but...

The adding up condition of budget share equations is known to imply restrictions for the autoregresive structure of errors. The implications of these restrictions when estimation is in terms of additive normal errors of additive logistic normal errors is clarified, and a byproduct is a...

This study examines whether casual work can shorten the time taken to move from unemployment into permanent work using longitudinal data from the Survey of Employment and Unemployment Patterns. The analysis is based on comparison of the transition rate from unemployment to permanent work with...

In this paper we present a test statistic, which will be used to test for significant differences between generating processes of two time series that may be logically connected. The test statistic is based on the differences between estimated parameters of the autoregressive models which are...

The main objective of this study is to investigate the rebustness of the popular Durbin-Watson (DW), Langrage multiplier (LM), Box-Pierce (BP) and Ljung-Box (LB) tests and their corrected versions against autoregressive distrurbances in the presence of dynamic heteroscedastic disturbances with...

This paper considers residuals for time series regression. Despite much literature on visual diagnostics for uncorrelated data, there is little on the autocorrelated case. In order to examine various aspects of the fitted time series regression model, three residuals are considered. The fitted...

In this paper two new estimators are offred (one each for the fixed random effects specifications), and small sample performance compared with that of all the existing estimators.

This paper illustrates the use of Kullback-Leibler Information (KLI) measure for assessing the relative quality of two approximations to an unknown distribution from which we ca obtain simple random drawings.