This paper is concerned with the pricing of European continuous-installment options where the aim is to determine the initial premium given the installment payments schedule. The particular feature of this pricing problem is the determination, along with the initial premium, of an optimal...

Total factor productivity (TFP) computed as Solow-residuals could be subject to input-substitution bias for two reasons. First, the Cobb-Douglas (CD) production function restricts all input substitutions to one. Second, observed inputs generally differ from optimal inputs, so that inputs...

Computing equilibria in dynamic economies is still quite challenging even though the noticeable increase in computing power, storage capacity and new approaches in the literature on computational economics. The solvability of many economic models suffers from the curse of dimensionality, which...

This paper characterizes the optimal inflation buffer consistent with a zero lower bound on nominal interest rates in a New Keynesian sticky-price model. It is shown that a purely forward-looking version of the model that abstracts from inflation inertia would significantly underestimate the...

The paper implements reverse shooting to solve for global nonlinear saddle path for optimal control problems with two state variables. It shows how to do reverse shooting. This will reduce entry barriers for researchers for whom this technique may be useful. For this purpose, user-friendly...

We study individual evolutionary learning in the setup developed by Deissenberg and Gonzalez (2002). They study a version of the Kydland-Prescott model in which in each time period monetary authority optimizes weighted payoff function (with selfishness parameter as a weight on its own and...

The nature of computing is changing and it poses both challenges and opportunities for economists. Instead of increasing clock speed, future microprocessors will have "multi-cores" with separate execution units. "Threads" or other multi-processing techniques that are rarely used today are...

This paper presents a numerical nonlinear dynamic programming algorithm for solving so-called optimal learning or adaptive control problems. These are decision problems with unknown parameters where the decisionmaker updates beliefs by Bayes rule. The updating equations are nonlinear. As a...

Dynamic games are used to analyze dynamic strategic interactions. While existence of equilibrium can often be proved by conventional methods, uniqueness is much more difficult to establish. If a game reduces to solving a system of polynomial equations, then one could use algorithms for finding...

We solve the optimal saving/portfolio-choice problem in an intertemporal recursive utility framework. Our solution to this problem is sufficiently general to allow (i) risk aversion to vary independently of intertemporal substitution, (ii) many risky assets, (iii) stochastic labor income that...