This article discusses the use of a popular online instructional management system to teach moral hazard by having students make decisions about whether to seek health care under two simulated scenarios – with and without insurance. JEL classification: A20, G22, I11

This paper presents a novel multi-sensor information fusion methodology for landing hazard assessment and avoidance. The focus of this research is to analyze hazard characteristics of a planetary surface using imagery data obtained in real-time during spacecraft orbit, descent, or landing. This information is used to enable a spacecraft to safely touchdown on a planetary surface during mission ...

In the food production, operating environment, personnel, equipment and many other factors may introduce microbiological hazards into food, which makes consumers face health and safety risk. Effective implementation of risk management is essential to ensure food safety. In order to search, assess, prevent and control of varieties of risk factors, modular process risk modeling method is improved...

One of the issues that the Basel Accord highlighted was that though techniques for estimating the probability of default and hence the credit risk of loans to individual consumers are well established, there were no models for the credit risk of portfolios of such loans. Motivated by the reduced form models for credit risk in corporate lending, we will seek to exploit the obvious parallels betw...

This thesis centers on nonparametric inferences of the cumulative hazard function of a right truncated variable. We present three variance estimators for the Nelson-Aalen estimator of the cumulative hazard function and conduct a simulation study to investigate their performances. A close match between the sampling standard deviation and the estimated standard error is observed when an estimated...

We investigate the problem of estimating the best binary decision tree approximation to the baseline hazard function in the Cox proportional hazards model. Our motivation is to find an effective way of condensing key functional information in the baseline hazard into a small number of estimable parameters. The parameters consist of a threshold and two hazard levels, one to the left of the thres...

Parametric and semiparametric methods often fail to capture the right shape of the conditional hazard rate in survival analysis. In this paper we propose a new and intuitive nonparametric estimator for the conditional hazard rate, based on local linear estimation techniques. This estimator can deal with both censored and uncensored data. We show that the local linear hazard rate estimator is co...

Hazard function estimation is an important part of survival analysis. Interest often centers on estimating the hazard function associated with a particular cause of death. We propose three nonparametric kernel estimators for the hazard function, all of which are appropriate when death times are subject to random censorship and censoring indicators can be missing at random. Specifically, we pres...

Extensions of the traditional Cox proportional hazard model, concerning the following features are often desirable in applications: Simultaneous nonparametric estimation of baseline hazard and usual fixed covariate effects, modelling and detection of time–varying covariate effects and nonlinear functional forms of metrical covariates, and inclusion of frailty components. In this paper, we devel...

This project is the first stage of a larger program of research into hazard perception training for motorcyclists. Future stages of the project will investigate what type of environment can be used to teach hazard perception and responding, for example a simulator environment or combination of off-road and simulator training. This document summarises two reports that were prepared as part of th...