How does the benefit effect vary as unemployment spells lengthen?
失业持续期延长时,失业收入的影响如何变化?AI 解读 ↓
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AI 根据所提供的论文材料归类:摘要明确将失业退出过程表示为序列二元响应模型,并比较 Logit、Probit 等形式。
反馈分类问题失业持续期延长时,失业收入的影响如何变化?AI 解读 ↓
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Abstract This paper investigates how the effect of income while unemployed on the probability of an individual leaving unemployment varies with the length of time that the individual has been unemployed. We examine this question in the context of a variety of alternative econometric models. We extend the Proportional Hazards model with unrestricted baseline hazard to one in which there are unrestricted effects of a subset of the explanatory variables and also consider models that can be estimated as series of binary response models. The proportional hazard restrictions are rejected for the sample of British unemployed men analysed and in the binary sequence framework Logit and Probit models based on symmetric distributions dominate (in likelihood terms) the Extreme Value form model implied by extension of the Proportional Hazards formulation. Logit models with a flexible form for the duration dependence which also incorporate unobserved heterogeneity in a flexible way are estimated. The results for all formulations indicate a rapidly declining effect of unemployment income as a spell lengthens, with no significant effect for the long‐term unemployed. The preferred specifications which allow for omitted heterogeneity indicate no significant effect after about 5 months, and this result is robust to the inclusion or exclusion of previous labour‐market experience variables and to the choice of mixing distribution.
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组合取胜:用于分布外预测的模型平均
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稀疏依赖下二元配置概率的对抗估计
We consider the problem of estimating binary configuration probabilities, which is common in operations management applications, including product bundling, advertising, etc. Existing approaches typically model each assortment as a category and apply multinomial models to estimate the choice probabilities; while computationally convenient, these methods do not exploit independence structures in the joint distribution and may therefore be statistically inefficient when the…