Does regional decentralization threaten the commitment to regional equality in government outcomes? We attempt to shed light on this question by drawing on unique evidence from the largest European unitary states to have engaged in countrywide health system decentralization: Italy and Spain. We...

This paper discusses the relationship between medical innovations and ageing from a health economics perspective and surveys empirical evidence on medical R&D incentives, R&D costs of pharmaceuticals, and the cost-effectiveness of health innovations. Particular focus is on the endogeneity of...

The World Health Organization has advocated the earmarking of health-related taxes to mobilize revenues to be spent on public health spending. While there are certain advantages and disadvantages in the use of earmarked taxes to fund healthcare, its ability to mobilize revenues will depend on...

We propose a new non-recursive identification scheme for uncertainty shocks, which exploits breaks in the unconditional volatility of macroeconomic variables. Such identification approach allows us to simultaneously address two major questions in the empirical literature on uncertainty: (i) Does...

One important goal of this study is to develop a methodology of inference for a widely used Cliff-Ord type spatial model containing spatial lags in the dependent variable, exogenous variables, and the disturbance terms, while allowing for unknown heteroskedasticity in the innovations. We first...

In this paper we specify a linear Cliff and Ord-type spatial model. The model allows for spatial lags in the dependent variable, the exogenous variables, and disturbances. The innovations in the disturbance process are assumed to be heteroskedastic with an unknown form. We formulate a multi-step...

This paper develops a unified framework for fixed and random effects estimation of higher-order spatial autoregressive panel data models with spatial autoregressive disturbances and heteroskedasticity of unknown form in the idiosyncratic error component. We derive the moment conditions and...

Long-run restrictions have been used extensively for identifying structural shocks in vector autoregressive (VAR) analysis. Such restrictions are typically just-identifying but can be checked by utilizing changes in volatility. This paper reviews and contrasts the volatility models that have...