This paper investigates whether individuals living in neighbourhoods with high concentrations of unemployment are less likely to enter work if they are unemployed and more likely to lose their job if they are employed. The main challenge in the neighbourhood effects literature is the...

Many theories of residential mobility contend that individuals express a sequence of moving desires, intentions and expectations prior to moving. Much research has investigated how individuals form these pre-move thoughts, with a largely separate literature examining actual mobility. Only a few...

Using an extensive longitudinal dataset extracted from the Norwegian Prescription Database (NorPD) containing all prescriptions written in the period January 2004 to June 2007, we selected two particular drugs (chemical substances) used against cholesterol. The two brand-name products on the...

The number of people who have ever experienced a divorce, or a split up of a non-marital union, is rising every year. It is well known that union dissolution has a disruptive effect on the housing careers of those involved, often leading to downward moves on the housing ladder. Much less is...

Antedependence (AD) of order p, also known as the Markov property of order p, is a property of index-ordered random variables in which each variable, given at least p immediately preceding variables, is independent of all further preceding variables. Zimmerman and Nunez-Anton (2010) present...

Selection models and pattern-mixture models are often used to deal with nonignorable dropout in longitudinal studies. These two classes of models are based on different factorizations of the joint distribution of the outcome process and the dropout process. We consider a new class of models,...

In this article we investigate regression calibration methods to jointly model longitudinal and survival data using a semiparametric longitudinal model and a proportional hazards model. In the longitudinal model, a biomarker is assumed to follow a semiparametric mixed model where covariate...

Count data with excess zeros relative to a Poisson distribution are common in many biomedical applications. A popular approach to the analysis of such data is to use a zero-inflated Poisson (ZIP) regression model. Often, because of the hierarchical Study design or the data collection procedure,...