The estimation of limited dependent variable panel data models usually involves objective functions in which integrals appear without a closed form solution: this is the case of the panel data Tobit model with random effects. Recently, simulation methods have shown to be useful in the inference...

During the last thirty years health care expenditure (HCE) has been growing much more rapidly than GDP in all OECD countries. Against this background, we look at the determinants of HCE growth in Europe, explicitly taking into account the role of income, ageing population, life habits,...

This paper measures differences in the innovation performance of different types of firms in the pharmaceutical industry. We compare the innovation performance of incumbent firms with entrants, controlling for differences in the scale and scope of research, both at the firm level and at the...

This study provides an analytical overview of the state of the European Union medical device industry. The medical device industry sector encompasses an extremely large variety of products and technologies. It covers hundreds of thousands of products that range from more traditional products,...

This paper investigates patterns of industrial dynamics and competition in the pharmaceutical industry, with particular reference to the consequences of patent expiry in different countries. We focus on the competition at the level of single chemical entities, distinguishing between original...

Lecture notes for a course of Introductory Econometrics (linear regression model and ordinary least squares, including concepts of Linear Algebra and Inferential Statistics), and for a second course of Econometrics (simultaneous equations, instrumental variables, limited and full information...

The complete validation of an econometric model is a process which involves a formidable number of activities in the various steps of model building, like economic structure specification, test of hypothesis and parameter estimation, simulation behaviour and decision making. Our attention will...

A well known macroeconometric model of the Italian economy is updated to produce forecasts at 1974.

In nonlinear econometric models, the evaluation of forecast errors is usually performed, completely or partially, by resorting to stochastic simulation. However, for evaluating the specific contribution of errors in estimated structural coefficients, several alternative methods have been...

The estimation method of Two Stage Least Squares (2SLS) with Principal Components (2SPC) is applied to a medium-sized nonlinear econometric model of the Italian Economy.