The widely used Cochrane-Orcutt and Hildreth-Lu procedures for estimating the parameters of a linear regression model with first-order serial correlation typically ignore the first observation. An alternative maximum likelihood procedure is recommended in this paper. This procedure is preferable...

Maximum likelihood estimation of equation systems with first-order autocorrelation should, in principle, take into account the first observation and associated stationarity condition. In the general case, this leads to computational difficulties compared with conventional procedures, which...

This paper develops a technique for estimating linear models with second-order autoregressive errors, which utilizes the full set of observations, and explicitly constrains the estimates of the error process to satisfy a priori stationarity conditions. A nonlinear solution technique which is new...

Le present article resume les conclusions de le document de recherche intitulee : L'effet des conditions macroeconomiques sur l'instabilite et l'inegalite a long terme des gains des travailleurs au Canada. Le present document porte sur la variabilite des gains des travailleurs au Canada de...

This paper examines the variability of workers' earnings in Canada over the period 1982-1997 and how earnings variability has varied in terms of the unemployment rate and real gross domestic product (GDP) growth over this period. Using a large panel of tax file data, we decompose total variation...

This paper examines the variability of workers' earnings in Canada over the 1982-to-2000 period by a graphical descriptive approach using the Longitudinal Administrative Data base file. Following Gottschalk and Moffitt (1994), we decompose the total variance of workers' earnings into a...

This paper examines trends in earnings, using tax-based longitudinal data from the last two decades and synthetic cohort analysis.