This paper develops a Bayesian model for pricing derivative securities with prior information on volatility. Prior information is given in terms of expected values of levels and rates of precision: the inverse of variance. We provide several approximate formulas, for valuing European call...

The standard neoclassical growth model with quasi-geometric discounting is shown elsewhere (Krusell, P. and Smith, A., CEPR Discussion Paper No. 2651, 2000) to have multiple solutions. As a result, value-iterative methods fail to converge. The set of equilibria is however reduced if we restrict...

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...

The aim of this paper is to obtain a stochastic model for an underlying asset pricing. Several stochastic models using time series are presented, such as stationary stochastic processes AR and MA or ARMA, and ARCH processes with conditional volatility as a stochastic process. Numerical data were...

We introduce a new algorithm that can be used to solve stochastic dynamic general equilibrium models. This approach exploits the fact that the equations defining equilibrium can be viewed as a set of differential algebraic equations in the neighborhood of the steady-state. Then a modified...

In this paper we study optimal taxation in a dynamic game played by a sequence of governments, one for each time period, and a private sector composed of a continuum of households. We focus on the Markov-perfect equilibrium of this game under two assumptions on the extent of government's...

A statement from Michell (Michell, J., “Normal science, pathological science, and psychometrics”, Theory and Psychology , Vol. 10 No. 5, 2000, pp. 639‐67), “psychometrics is a pathology of science”, is contrasted with conventional definitions provided by leading texts. The key to...