lack of overlap in the covariate distributions. This lack of overlap can lead to imprecise estimates and can make commonly … trimming the sample. In this paper we develop a systematic approach to addressing such lack of overlap. We characterize optimal …

there is limited overlap in the covariate distributions between the treatment groups. But such limited overlap can also have … by the number of observations in the areas of limited overlap. At least some of these "local sample sizes" are often very …

financial post-separation arrangements remained unapplied. This suggests that the main innovative aspect of the law – the … inefficiency. Moreover, the incentives for a female partner to apply for a separation raised. The paper discusses a possible …

This paper analyses the hiring and separation rates in Tunisia before and after the Arab Spring of 2011. Several models … separation, total employment effects and composition of labour force by gender, managerial level and age cohorts. Six models are … estimated to investigate hiring, separation, hiring rate, separation rate, mobility, and net-employment. The results indicate …

, separation or marginalization. A large body of literature has emerged examining the effects of immigrants' characteristics (age …

outliers and influential observations. A variety of diagnostic methods are employed to identify these influential observations … methods utilised proved incapable of identifying or accommodating the gross outlier(s) in the data, the more successful …

the sample. These extreme observations, or outliers, often have a large impact on the results of statistical analyses … this, the detection of outliers and their appropriate treatment is often dealt with in a rather sloppy manner. One reason … the presence of outliers. Our paper intents to improve on this situation by presenting a highly robust method for …

. We propose to use Cook's Distance in order to identify influential outliers having substantial influence on first …