This paper explores the effects of insurance parameters and complementary information environment on the patient's primary prevention activity. The theoretical model is based on a principal-agent setting in which the patient acts as an agent in deciding about his prevention efforts. The insurer...

This paper theoretically and empirically explores the effects of insurance parameters and a complementary information environment on patient´s primary prevention activity in the context of a managed care organisation. The theoretical model is based on a principal-agent setting in which the...

This paper theoretically and empirically explores the effects of insurance parameters and a complementary information environment on patient´s primary prevention activity in the context of a managed care organisation. The theoretical model is based on a principal-agent setting in which the...

The objective of this paper is to estimate the effect of diabetes on labor market exit using longitudinal data from the 1992-2010 Health and Retirement Study (HRS). We estimate a discrete time hazard model to test whether diabetes affects the hazard of leaving employment among individuals who...

Factors impacting the initiation and termination of smoking, using Cox's proportional hazard model as the econometric tool, on the basis of RLMS and Goskomstat data on tobacco prices, are being investigated in this paper. The model to explain the amount of consumed cigarettes and the composite...

We study factors impacting the initiation and termination of smoking as well as its "heaviness" on the basis of RLMS data. An asymmetric influence of cigarette prices is revealed, and an addictive character of tobacco consumption is confirmed. We find that it is possible to reduce smoking by...

This paper proposes a causal decomposition framework for settings in which an initial regime randomization influences the timing of a treatment duration. The initial randomization and treatment affect in turn a duration outcome of interest. Our empirical application considers the survival of...

We examine a new general class of hazard rate models for survival data, containing a parametric and a nonparametric component. Both can be a mix of a time effect and (possibly time-dependent) marker or covariate effects. A number of well-known models are special cases. In a counting process...

The objective of this paper is to estimate the effect of diabetes on labor market exit using longitudinal data from the 1992-2010 Health and Retirement Study (HRS). We estimate a discrete time hazard model to test whether diabetes affects the hazard of leaving employment among individuals who...

We compare and evaluate two different approaches to estimate overall survival curvesfrom censored data of recurrent events: (1) standard survival time analysis, and (2) a multistate framework that explicitly estimates the mortality rate during censored periods. With both models, we estimate...