We define liquidity for corporate bonds as the expected waiting time to reduce a risk position. Our methodology addresses the fact that many bonds are liquidated quickly despite having few trades in the recent past. Building on research from the housing market, we apply survival analysis to bond...

BITE is a software package designed for the analysis of event history data using flexible hierarchical models and Bayesian inference, with a particular emphasis on the application of flexible intensities as a description of the distribution of lifetimes. BITE provides a framework for combining...

<Para ID="Par1">This paper investigates two main questions: Are affiliates of foreign multinationals more likely to exit the market than domestic firms? Does the exit probability of foreign firms depend on the technological environment in which they operate? Controlling for a set of firm- and industry-specific...</para>

<Para ID="Par1">Previous research examining the impact of unilateral divorce law (UDL) on the prevalence of divorce has provided mixed results. Studies based on cross-sectional cross-country/cross-state survey data have received criticism for disregarding unobserved heterogeneity across countries, as have...</para>

Length-biased data are encountered frequently due to prevalent cohort sampling in follow-up studies. Quantile regression provides great flexibility for assessing covariate effects on survival time, and is a useful alternative to Cox’s proportional hazards model and the accelerated failure time...

Given the big employment losses in the current economic and financial crisis, not only the creation of new jobs is important for economic and social welfare, but also the conservation of existing jobs. In this respect, it is crucial that firms that employ personnel survive. In this article, we...

This paper sheds light on the role of family networks in the dynamics of a West African labour market, i.e. in the transitions from unemployment to employment, from wage employment to self-employment, and from self-employment to wage employment. It investigates the effects of three dimensions of...

Survival prediction from a large number of covariates is a current focus of statistical and medical research. In this paper, we study a methodology known as the compound covariate prediction performed under univariate Cox proportional hazard models. We demonstrate via simulations and real data...

This paper examines the survival of Australian initial public offerings (IPOs). The Cox proportional hazards model is used to test the value of the information available at the time of listing and whether this information foreshadows the likelihood of survival or failure of an IPO. The number of...