Predicted increases in CO2 concentrations will affect forest ecosystems. In particular, they will impact tree growth, which in turn affects reproduction and mortality and consequently, forest planning. This study integrates different climate change scenarios of future biogeochemical processes...

This paper develops an integrated model of the fuel and agricultural sectors to analyze the welfare and greenhouse gas emission (GHG) effects of the existing Renewable Fuel Standard (RFS), a Low Carbon Fuel Standard (LCFS) and a carbon price policy. The conceptual framework shows that these...

This paper develops a tractable dynamic microeconomic model of migration decisions that is aggregated to describe the behavior of interregional migration. Our structural approach allows to deal with dynamic self-selection problems that arises from the endogeneity of location choice and the...

Dynamic programming is an optimization system method or its mathematical representation, operating in phases, in other words, decisions are made sequentially. In many situations the available information is not homogeneous, this is objective data and uncertain one. In these cases, the use of...

This paper presents a dynamic principal-agent model of aquatic species invasions in which a manager, concerned about the spread of invasive species across lakes by boaters, sets interseasonal management controls on a lake-by-lake basis, and boaters make a series of intraseasonal trip decisions...

We analyse how progressive taxation and education subsidies affect schooling decisions when the returns to education are stochastic. We use the theory of real options to solve the problem of education choice in a dynamic stochastic model. We show that education attainment will be an increasing...

[ES] La programación dinámica es un método de optimización de sistemas o de su representación matemática, donde se opera por fases, es decir, las decisiones se toman en forma secuencial.