Good health is a crucial part of well-being but spending on health can be justified on economic grounds. The goal of reducing poverty provides a different but equally powerful case for health investments. However, if policymakers are to accelerate the substantial health gains of recent decades,...

Efforts to regionalize cardiac services can increase access costs for patients. This study quantifies this trade off by estimating the effects of changes in the regulation of hospital services on treatments and outcomes. A demand model for surgery services is specified in which heart attack...

To judge a health care system, it is necessary to analyse its results in terms of health and to bring them back to its economic effectiveness. Health outcomes can be evaluated in several ways but none of them is really representative. To locate the performance in terms of health for the French...

The study of the stylized facts of economic growth has allowed an advance of this field of economic analysis in its empirical and theorical works. Today, Health Economics is faced with new requirements of society, i.e. better care at a sustainable cost. Furthermore, since the problems linked...

The study highlights the large and rising cost of the disease: an estimated $132 billion, or approximately $92 billion in direct healthcare expenditures and $40 billion in lost productivity attributed to missed workdays, disability, and early mortality. After adjusting for differences in...

China’s rapid overall growth since 1978 masks significant differences in relative economic performance across its provinces. This paper finds that, while per capita income of poor provinces are catching up with those in the rich, the relative income distribution appears to be stratifying into...

Recently municipal household income has been estimated with spatial econometrics techniques explicitly including spatial autocorrelation in the econometric models. Spatial econometric tools have highly improved the explicative and predictive capacity of the models and more effort must be done in...

Classical parametric estimation methods applied to nonlinear regression and limited-dependent-variable models are very sensitive to misspecification and data errors. This sensitivity is addressed by the theory of robust statistics which builds upon parametric specification, but provides...

We show in this paper that spatial dependence and spatial heterogeneity matter in the estimation of the b-convergence process among 138 European regions over the 1980-1995 period. Using spatial econometrics tools, we detect both spatial dependence and spatial heterogeneity in the form of...