2 resultados para non-parametric background modeling

em WestminsterResearch - UK


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This study investigates the re-employment hazard of displaced German workers using the first fourteen sweeps of the German Socio-Economic Panel (GSOEP) data. As well as parametric and non-parametric discrete-time specifications for the baseline hazard, the study employs alternative mixing distributions to account for unobserved heterogeneity. Findings of the study suggest negative duration dependence, even after accounting for unobserved heterogeneity. In terms of covariate effects, those at the lower end of the skills ladder, those who had been working in manufacturing and those with previous experience of non-employment are found to have lower hazard of exit via reemployment.

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The aims of this work are twofold. On the one hand, it aims to find evidence supporting the presence of the weak form efficiency of several emerging African stock markets by using both parametric as well as non parametric tests. The results indicate that none of the markets are characterised by random walks with the exception of the South African stock market. On the other hand, this study aims to detect the presence of the day of the week effects of these African stock markets. Results show the existence of day of the week effects, that is the typical negative Monday and Friday positive effects in several stock markets.