Showing 1 - 10 of 12
A copula is best described, as in Joe (1997), as a multivariate distribution function that is used to bind each marginal distribution function to form the joint. The copula parameterises the dependence between the margins, while the parameters of each marginal distribution function can be...
Persistent link: https://www.econbiz.de/10005328375
This paper investigates the determinants of the labour supply of nurses in the UK. Attention focuses on the elasticity of hours of work supplied with respect to wage rates. This is achieved using nine waves of data from the British Household Panel Survey. The panel nature of this survey allows...
Persistent link: https://www.econbiz.de/10005328376
This paper extends the literature on modelling healthcare cost data by applying the Generalised Beta of the Second Kind (GB2) distribution to UK data. A quasi-experimental design, estimating models on a subset of the data and evaluating performance on another subset, is used to compare this...
Persistent link: https://www.econbiz.de/10009653022
Objectives: Covariate explanation of clinical trial cost and outcome is critical to allow reliable estimates of cost-effectiveness. The ordinary simultaneous equations approach however must specify a bivariate distribution for both cost and health outcome that is not typically a product of the...
Persistent link: https://www.econbiz.de/10005042026
This paper introduces a new approach to measuring the association between health and socioeconomic status. Measuring inequalities in health is difficult when health is measured qualitatively, specifically on an ordinal scale. This paper demonstrates a rank-based dependence measure - the copula -...
Persistent link: https://www.econbiz.de/10005523904
This paper considers the simultaneous explanation of mortality risk, health and lifestyles, using a reduced-form system of equations in which the multivariate distribution is defined by the copula. A copula approximation of the joint distribution allows one to avoid usually implicit...
Persistent link: https://www.econbiz.de/10005523906
A copula is best described, as in Joe (1997), as a multivariate distribution function that is used to bind each marginal distribution function to form the joint. The copula parameterises the dependence between the margins, while the parameters of each marginal distribution function can be...
Persistent link: https://www.econbiz.de/10005523918
This study decomposes differences in saliva log cotinine between children/adolescents from low and high socioeconomic backgrounds using the 1997/98 cross-section of the Health Survey for England (HSE). Three decomposition methods are applied including a mean-based (Oaxaca-Blinder) decomposition...
Persistent link: https://www.econbiz.de/10010602598
We conduct a quasi-Monte Carlo comparison of the recent developments in parametric and semi-parametric regression methods for healthcare costs against each other and against standard practice. The population of English NHS hospital inpatient episodes for the nancial year 2007-2008 (summed for...
Persistent link: https://www.econbiz.de/10010705922
When the treatment under evaluation is continuous rather than binary, the marginal causal effect can be reported from the estimated dose-response function. Here, regression methods can be employed that specify a model for the endpoint, given the treatment and covariates. An alternative is to...
Persistent link: https://www.econbiz.de/10011133573