In this article, I address whether the inclusion of control variables in the hopes of getting an unbiased estimate of the residual variance is a good reason for the inclusion of control variables. I conclude that the inclusion of an additional control variable is unlikely to decrease the...

A new estimation procedure for the Cox proportional hazards model is introduced. The method proposed employs the sample covariance matrix of model covariates and alternates between estimating the baseline cumulative hazard function and estimating model coefficients. It is shown that the...

Category-management models serve to assist in the development of plans for pricing and promotions of individual brands. Techniques to solve the models can have problems of accuracy and interpretability because they are susceptible to spurious regression problems due to nonstationary time-series...

Aggregated (S;s) models purport to provide a structural, microfounded and statistically robust explanation of aggregate investment uctuations. In this paper I analyse these claims, present several empirical puzzles arising from the model and discuss hoe the model might be extended to account for...

We hold the fort for linear specification of monetary policy and economic activity in Europe. Using data on the last two and a half decades we cannot reject the hypothesis that monetary policy is a linear process and we find mixed results regarding economic activity.

This paper presents results for five separately estimated sets of employment and wage equations. The New Zealand working- age population is divided into sole parents, single men, single women, married men and married women. The results for the wage equations are as anticipated and similar to the...

This paper considers two classes of semiparametric nonlinear regression models, in which nonlinear components are introduced to reflect the nonlinear fluctuation in the mean. A general estimation and testing procedure for nonparametric time series regression under the strong-mixing condition is...