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We consider the problem of constructing optimal designs for model discrimination between competing regression models … study. -- Model discrimination ; optimal design ; T-optimality ; Ds-optimality ; nonlinear approximation …
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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....
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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...
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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...
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One attractive objective for a pensioner using the income drawdown option is to minimise the deviation of the pension fund from a prescribed deterministic target. Typically, this problem is formulated as a linear-quadratic optimal control problem, which has the shortcoming that over-performance...
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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...
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