Modeling random and non-random decision uncertainty in ratings data: a fuzzy beta model

AStA Advances in Statistical Analysis - Modeling human ratings data subject to raters’ decision uncertainty is an attractive problem in applied statistics. In view of the complex interplay...     

Modelling Incomplete Spells of Unemployment and Employment

ABSTRACT: The procedure used to analyse a data set which includes only censored or incomplete spells is examined in this paper. First of all, the distributions of incomplete spell durations are analysed without explanatory variables (such as age, gender, and so on), assuming that unobserved completed spells have a Weibull distribution. The relationships between the mean of the incomplete spells and the mean of the completed spells are reported for first-job seekers, unemployed, employed and self-employed workers. Given that the unobserved completed spells are Weibull-distributed, the unobserved heterogeneity is introduced on the scale parameter of the Weibull. The heterogeneity, considered as a variable, is analysed for a binomial or Weibull distribution. As the beginning of a spell is a retrospective datum, the recall errors are modelled including the heaping effect. Using some proportional hazards models, the methodology to study the influences of explanatory variables on spell distributions is then described, once again including both the heterogeneity and the heaping effect. On this basis, the lengths of on-going spells of unemployment for first-job seekers and unemployed workers are modelled, as well as the current job tenures of employed and self-employed workers.