This paper develops a dynamic general equilibrium matching model with many types of long-lived workers, many types of jobs and stochastic transitions between many possible aggregate productivity states. The supply of new jobs is determined by free entry, matching is directed, wages are determined by auction and workers can continue to search on-the-job for better employment opportunities. We sh...

Theories based on partial equilibrium reasoning alone cannot explain the widespread negative cross-sectional correlation between parental wages and fertility, without restrictive assumptions on preferences and childcare costs. We argue that incorporating a dynamic general equilibrium analysis of returns to human capital can help explain observed empirical patterns. Other by-products of this the...

We present an application of the theory of stochastic processes to model and categorize non-equilibrium physical phenomena. The concepts of uniformly continuous probability measures and modular evolution lead to a systematic hierarchical structure for (physical) correlation functions and non-equilibrium thermodynamical potentials. It is proposed that macroscopic evolution equations (such as dyn...

We estimate the dynamic stochastic general equilibrium model of Christiano, Eichenbaum, and Evans (2005) on United Kingdom data. Our estimates suggest that price stickiness is a more important source of nominal rigidity in the U.K. than wage stickiness. Our estimates of parameters governing investment behavior are only well behaved when post-1979 observations are included, which reflects govern...

Traditional computable general equilibrium (CGE) models have ignored uncertainty ─ even when applied to fields such as environmental modeling that are replete with economic uncertainty. In contrast, many control theory models have focused on the effects of uncertainty. Thus marrying the tradition of CGE and control modeling can result in pricequantity models with explicit dynamics and careful t...

This paper considers issues related to identification, inference, and computation in linearized dynamic stochastic general equilibrium (DSGE) models. We first provide a necessary and sufficient condition for the local identification of the structural parameters based on the (first and) second order properties of the process. The condition allows for arbitrary relations between the number of obs...

The relation between macroeconomic fundamentals and the cross section of asset returns is studied through the lens of dynamic stochastic general equilibrium (DSGE) models. We provide a full-information Bayesian estimation of the model using seven macroeconomic variables and extract the time series of three fundamental shocks to the economy for the period of 1966Q1-2010Q3: neutral technology (NT...

We take as a starting point the existence of a joint distribution implied by different dynamic stochastic general equilibrium (DSGE) models, all of which are potentially misspecified. Our objective is to compare ‘‘true’’ joint distributions with ones generated by given DSGEs. This is accomplished via comparison of the empirical joint distributions (or confidence intervals) of historical and sim...