We develop an algorithm for solving regression models with Box-Cox transformations on both the dependent and independent variables, while simultaneously taking into account corrections for serial correlation of several orders and for heteroscedasticity. The latter correction is of a general form...

In this study, we use a first-order spatial autoregressive formulation to model the correlation among the errors of a linear demand equation that explains origin-destination flows. The process splits the error term for each observation into a weighted sum of all the other errors and a purely...

This paper highlights the fact that more adequate measurement of personal savings as well as a consumption and disposable income in Canada yields a totally different picture from that projected by the National Accounts (NIEA). The author measures of consumption excludes purchases of durables but...