Analyzing the distributional impacts of economic crises is important and, unfortunately, an ever more pressing need. If policymakers are to intervene to help those most adversely impacted, then policymakers need to identify those who have been most harmed and the magnitude of that harm....

Truncation or censoring of the response variable in a regression model is a problem in many applications, e.g. when the response is insurance claims or the durations of unemployment spells. We introduce a local polynomial re­gression estimator which can deal with such truncated or censored...

It is a well known fact that time series and data are commonly and frequently used in applied researches and various methods are developed for analysis of these data. The most common method used for analysis of monovariate time series is Box- Jenkins method which is based on modelling of a time...

We propose a new method for estimation of the hazard function from a set of censored failure time data, with a view to extending the general approach to more complicated models. The approach is based on a mixed model representation of penalized spline hazard estimators. One payoff is the...

Regular case-control sampling is an extremely common design used to generate data to estimate effects of exposures or treatments on a binary outcome of interest when the proportion of cases (i.e., binary outcome equal to 1) in the population of interest is low. Case-control sampling represents a...