Exponential smoothing, often used for sales forecasting in inventory control, has always been rationalized in terms of statistical models that possess errors with constant variances. It is shown in this paper that exponential smoothing remains the appropriate approach under more general...

A well-known problem in multiple regression is that it is possible to reject the hypothesis that all slope parameters are equal to zero, yet when applying the usual Student's T-test to the individual parameters, no significant differences are found. An alternative strategy is to estimate...

Using Chinese provincial data, we examine the relationship between relative prices and wages, which can be derived on the basis of the Balassa-Samuelson theorem. First, considering cross sectional dependency in our data, we implement recently developed panel unit root tests. We report strong...

Financial event studies using daily stock returns are frequently used to evaluate antitrust policy and to 'predict' the consequences of mergers. Although there is ample evidence that daily stock returns are not normally distributed, traditional asymptotic results are often used for hypothesis...

In this article the underlying inflation is estimated by means of a common stochastic trend scheme associated with a structural restriction vectorial error correction model (SVEC). The estimation possesses the desired characteristic concerning variance and it's related with the behavior of...

This paper uses Australian data from the Negotiating the Life Course Project 1997 to investigate the impact of marriage on men’s and women’s earnings. We extend earlier earnings research and investigate whether the effect of marriage is constant for men and women at different points on the...

In this paper we utilize White's Reality Check bootstrap methodology (White (1997)) to evaluate simple technical trading rules while quantifying the data-snooping bias and fully adjusting for its effect in the context of the full universe from which the trading rules were drawn. Hence, for the...