A bivariate interval censorship model for partnership formation

Linda Yuet-Yee Wong and Qiqing Yu

Journal of Multivariate Analysis, 2007, vol. 98, issue 2, 370-383

Abstract: We consider a statistical problem of estimating a bivariate age distribution of newly formed partnership. The study is motivated by a type of data that consist of uncensored, right-censored, left-censored, interval-censored and missing observations in the coordinates of a bivariate random vector. A model is proposed for formulating such type of data. A feasible algorithm to estimate the generalized MLE (GMLE) of the bivariate distribution function is also proposed. We establish asymptotic properties for the GMLE under a discrete assumption on the underlying distributions and apply the method to the data set.

Keywords: Bivariate; mixed; interval-censored; data; Missing; data; Generalized; MLE; Exact; observations; Asymptotic; properties (search for similar items in EconPapers)
Date: 2007
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