This paper develops theoretical and empirical models to understand how farmers formulate their participation strategies when deciding to enroll in the Conservation Reserve Program (CRP) under uncertainty. A theoretical model is employed to obtain the impacts of various factors on the optimal bidding strategies. A selectivity-based econometric model is then used to estimate the probability of en...

Abstract This study sets up a spatial econometric framework to explore the factors that best describe land consumption in Italy at municipal level. By modelling different types of interactions and geographical proximity between all Italian municipalities, direct effects use drivers are assessed together with spillover effects. Land data drawn from ISPRA-SNPA 82/18 Report cover 7,998 municipalit...

This paper develops a choice model for environmental public goods which allows for consumers to learn about their preferences through consumption experiences. We develop a theoretical model of Bayesian updating, perform comparative statics over the model, and show how the theoretical model can be consistently incorporated into a reduced form econometric model. Our main findings are that in a Ra...

Using spatial econometric models, this paper focuses attention on the spatial structure of provincial unemployment disparities of Italian provinces for the year 2003. On the basis of findings from the economic literature and of the available socio-economic data, various model specifications including supplyand demandside variables are tested. Further we use ESDA analysis as equivalent to integr...

While econometric models routinely incorporate unobserved heterogeneity, microsimulations that are based on historical data rarely do so. At issue is that an individual’s history of outcomes contains information about that person’s heterogeneity draw, implying that the individual’s value may not be drawn randomly from the population distribution. Failure to account for heterogeneity may bias be...