Economists who want to numerically approximate an elaborate dynamic stochastic programming problem (DSPP), either for structural estimation or policy evaluation purposes, are often confined by the curse of dimensionality: richer models with various state and control variables cannot be solved on...

We consider a neoclassical growth model with quasi-hyperbolic discounting under Kantian optimization: each temporal self acts in a way that they would like every future self to act. We introduce the notion of a Kantian policy as an outcome of Kantian optimization in a given class of policies. We...

Nash (1951) claimed that every game must have a solution, even if it means a mixed strategy. His method is to find a probability that equalizes the two expected payoffs. Though simple, the calculation can be tedious. To avoid unnecessary mistake, this paper works out an algorithm to do the...

In a market with stochastic investment opportunities, we study an optimal consumption investment problem for an agent with recursive utility of Epstein-Zin type. Focusing on the empirically relevant specification where both risk aversion and elasticity of intertemporal substitution are in excess...

In an incomplete market we study the optimal consumption-portfolio decision of an investor with recursive preferences of Epstein-Zin type. Applying a classical dynamic programming approach, we formulate the associated Hamilton-Jacobi-Bellman equation and provide a suitable verification theorem....

We propose two modifications to the method of endogenous grid points that greatly decreases the computational time for life cycle models with many exogenous state variables. First, we use simulated stochastic grids on the exogenous state variables. Second, when we interpolate to find the...

We study the investment behaviour of a producer maximizing the present value of his firm over an infinite time horizon and having investments bounded below by zero (irreversibility of capital) and bounded above by his current profit (capital market imperfections). In our model the interest rate,...

Asset-liability management (ALM) may be defined as the simultaneous planning of all asset and liability positions for a bank, considering the different bank management objectives and the legal, managerial and market constraints, for the purpose of enhancing the value of the bank, providing...

The objective of this paper is to discuss the use of modern frontier efficiency analysis to analyze firm performance in the insurance industry. The objective is to provide the foundations for insurance economists to use in adapting their research to incorporate the frontier efficiency approach....

In this paper we outline the Lagrangian constrained optimization method to solve complex problems subject to constraints. Firstly we summarize the Lagrangian constrained optimization routine. Secondly we outline a detailed implementation strategy. Thirdly and finally we provide example and solve...