This paper analyzes the dynamics of prices and wages using a limited information approach to estimation. I consider a two-equation model for the determination of prices and wages derived from an optimization-based dynamic model, where both goods and labor markets are monopolistically...

This paper develops and illustrates the multi-step generalization of the standard single-step perturbation (SSP) method or MSP. In SSP, we can think of evaluating at x the computed approximate solution based on x0, as moving from x0 to x in "one big step" along the straight-line vector x-x0. By...

Standard practice for the estimation of dynamic stochastic general equilibrium (DSGE) models maintains the assumption that economic variables are properly measured by a single indicator, and that all relevant information for the estimation is adequately summarized by a small number of data...

In this paper we analyse the effect of model uncertainty on the wealth and utility outcomes of an investment decision. We compute optimal portfolio weights for domestic and foreign assets and using these weights we construct end investment horizon wealth and utility ratios. Model uncertainty is...

In this paper we take seriously the consequences of the Pricing Equation in constructing a novel consistent estimator of the stochastic discount factor (SDF) using panel data. Under general conditions it depends exclusively on appropriate averages of asset returns, and its computation is a...

Based on an idea in Backus, Foresi, and Telmer (1998) we extend the class of discrete-time affine multifactor Gaussian models by allowing factor innovations to be distributed as Gaussian mixtures. This is motivated by the observation that bond yield changes for some maturities are distinctly...

Time series with long-memory behavior have recently received much attention. Much interest attaches to parameter estimation in the ARFIMA model by considering different situations of this process, and specifically when there are missing observations. This is the focus of this paper. To estimate...

For modelling economic and financial time series, multivariate linear and nonlinear systems of equations have become a standard tool. These models can also be applied to non-stationary processes. However, the resulting finite-sample estimates may depend strongly on the specification of the model...

This paper considers the use of the long-memory, semi-parametric estimators to test unit-root and non-cointegrated processes under fractional alternatives. Critical-point values of the proposed tests are given for different sample sizes. The ADF test is used for comparison purposes. The...

This paper proposes a new empirical representation of US inflation expectations in a Stace-Space Markov-Switching framework in order to identify the expectations regimes which are associated with short and long term Phillips curves. We explicitly identify the dynamic of inflation expectation...