Robust estimators of ar-models : a comparison

Many regression-estimation techniques have been extended to cover the case of dependent observations. The majority of such techniques are developed from the classical least squares, M and GM approaches and their properties have been investigated both on theoretical and empirical grounds. However, the behavior of some alternative methods- with satisfactory performance in the regression case- has not received equal attention in the context of time series. A simulation study of four robust estimators for autoregressive models containing innovation or additive outliers is presented. The robustness and efficiency properties of the methods are exhibited, some finite-sample results are discussed in combination with theoretical properties and the relative merits of the estimators are viewed in connection with the outlier-generating scheme.peer-reviewe

A Quantitative Analysis of Investment in New Housing in Greece

This paper analyses empirically investment in housing in Greece using aggregate data for the period 1958-89 and a version of the flexible accelerator model of investment demand. Housing production is undertaken mainly by households aiming at private home ownership and is subject to significant fluctuations which were more pronounced in the 1980s. The estimation of the model shows that traditional determinants of housing demand, such as income and population, influence significantly investment decisions. Moreover, the dynamic specification adopted seems to have traced well the dynamic adjustment of the housing stock. Finance variables, on the other hand, were not found to affect significantly housing investment. Tests of stability indicated that estimated equations are reasonably stable over the sample period. © 1995, Sage Publications. All rights reserved

Public and Private Sector Wage Differentials in Greece

The public sector pays higher wages than the private sector and also offers higher returns with respect to education and experience. © 1991, MCB UP Limite

A new procedure for monitoring the range and standard deviation of a quality characteristic

Shewhart, Bonferroni-adjustment, Average run length, R chart, S chart,