Conventional time series analysis, focusing exclusively on a time series at a given scale, lacks the ability to explain the nature of the data generating process. A process equation that successfully explains daily price changes, for example, is unable to characterize the nature of hourly price...

A large number of microeconomic decision variables such as investments, prices, inventories or employment are characterized by intermittent large adjustments. The behavior of those variables has been often modeled as following state-dependent rules. The optimality of such state-dependent rules...

In this paper we provide an explicit characterization of the escape dynamics for the Phellps problem of government controlling inflation with adaptive learning of the approximate Phillips curve, alternative to the one considered by Cho, Williams and Sargent (2002) (CWS in sequel). Our approach...

This article presents a comparative analysis of four macroeconometric models whose proprietors participated in a model comparison conference focused on the new euro area economy. One model, the Area-Wide Model recently developed at the European Central Bank, treats the whole area as a single...

Difference in differences methods have become very popular in applied work. These models are typically quite easy to implement and to interpret. However, performing inference with these models is not. This paper addresses one particular aspect that is likely to be very important in most...

Estimators based on moment conditions of the form E[g(X,t)], where t is a finite-dimensional parameter vector of interest, are a popular tool in applied econometrics. Unlike likelihood-based estimators, moment-based estimators do not require the researcher to specify the probability distribution...

This paper considers the parametric inference of a wide range of structural econometric models. The class of models considered includes those with parameter-dependent support and those derived from game-theoretic models. Inference of those models has raised some important econometric issues....

This paper develops and implements a practical simulation-based method for estimating dynamic discrete choice models. The method, which can accommodate lagged dependent variables, serially correlated errors, unobserved variables, and many alternatives, builds on the ideas of indirect inference....

This paper studies the limit distributions of Monte Carlo estimators of diffusion processes. Two types of estimators are examined. The first one is based on the Euler scheme applied to the original processes; the second applies the Euler scheme to a variance-stabilizing transformation of the...