The management of a water reservoir can be improved thanks to the use of stochastic dynamic programming (SDP) to generate management policies which are efficient with respect to the management objectives (flood protection, water supply for irrigation and hydropower generation, respect of minimum...

In this paper we provide a stochastic dynamic game formulation of the economics of international environmental agreements on the transnational pollution control when the environmental damage arises from stock pollutant that accumulates, for accumulating pollutants such as CO2 in the atmosphere....

Using a stochastic dynamic programming model we analyze how French private forest owners make inter-temporal trade-offs between non-timber amenities and timber income. We explicitly take into account the price expectations and forest growth. In addition, unlike previous empirical studies...

In this paper we solve a stochastic dynamic programming problem for the solution to a dynamic game in which the players select a mean level of control. The state transition dynamics are a function of the current state of the system and a multiplicative noise factor on the control variables of...

In this paper we extend the deterministic model of Dechert and Brock (forthcoming) to stochastic models. First, we consider the lake game in a Brock and Mirman framework and show what happens to the Skiba point when there is uncertainty in the model. Second, we develop the model as an optimally...

This paper builds on our previous work that used a non linear stochastic dynamic programming problem to solve for the optimal level of phosphorus discharged into a watershed. Typically, there is a trade off between profits from agriculture and environmental damage due to excessive levels of...

We develop an econometric model for firm exit, using stochastic dynamic programming (SDP) as a starting point. According to SDP, the value of an operating firm can be written as the sum of (i) the net present value of continuing production if the firm is committed to a future exit date, and (ii)...

We develop an econometric model for firm exit, using stochastic dynamic programming (SDP) as a starting point. According to SDP, the value of an operating firm can be written as the sum of (i) the net present value of continuing production if the firm is committed to a future exit date, and (ii)...

We construct an endogenous (Bayesian) learning model with fat-tailed uncertainty on the equilibrium climate sensitivity and solve the model with stochastic dynamic programming. In our model a decision maker updates her belief on the climate sensitivity through temperature observations each time...

In this paper, we apply the idea of $k$-local contraction of \cite{zec, zet} to study discounted stochastic dynamic programming models with unbounded returns. Our main results concern the existence of a unique solution to the Bellman equation and are applied to the theory of stochastic optimal...