We address the issue of structural change in demand analysis. After a brief discussion of the major problems and questions that arise in this context, the main body of the paper is devoted to a review of analytical methods that are relevant to investigating structural change in demand. This...

A test for convergence in food tastes based on the estimation of a time-varying-parameter demand system is proposed; the test uses a notion of convergence in time series that looks at equality in the long-term forecasts of parameter estimates through cointegration techniques. An empirical...

Econometric models wishing to estimate relevant parameters for agricultural policy analysis are increasingly relying on unbalanced panels of farm-level data. Since in the agricultural economics literature such models have often been estimated through simplified approaches, in this paper we try...

We model CAP reform in order to measure the response of production and land allocation to compensatory payments. The application refers to a sample of farms in Italy. The model allows us an analysis of the degree of decoupling and a simulation of the impact of the "Agenda 2000" proposals.

Micro-econometric demand modelling has been receiving an increasing attention in empirical research, mainly due to the increasing availability of micro-data. In this paper we provide a review of some relevant market and policy issues that can be analysed with the use of micro-data on demand....

This paper evaluates the distribution of short- and long-run marginal costs and quota rents across the EU-15 milk producers, by estimating a system of cost and input share equations on a panel data of dairy farms from 1996 to 2001. Regional and geographical location and the size of milk...

Mycotoxins contamination in food is a serious source of health risks. This paper evaluates the Italian consumers’ perception of the mycotoxins’ risk through their willingness to pay (WTP) for a hypothetical bottle of milk obtained by cows fed with, inter alia, maize certified for...