We present a theory of targeted search, where people with a finite information processing capacity search for a match. Our theory explicitly accounts for both the quantity and the quality of matches. It delivers a unique equilibrium that resides in between the random matching and the directed...

Consider the following facts. In 1950, the richest countries attained an average of 8 years of schooling whereas the poorest countries 1.3 years, a large 6-fold difference. By 2005, the difference in schooling declined to 2-fold because schooling increased faster in poor than in rich countries....

A number of studies have documented a reduction in aggregate macroeconomic volatility beginning in the early 1980s. Using an empirical model of business cycles, we extend this line of research to state-level employment data, find significant heterogeneity in the timing and magnitude of the...

We develop a dynamic labor search model where production and consumption take place in spatially distinct labor markets with varying exposure to domestic and international trade. The model recognizes the role of labor mobility frictions, goods mobility frictions, geographic factors, and...

Regional Economic Summit, Evansville, Ind., Nov. 20, 2008

This survey paper discusses the policy implications that can be expected from the recent research on nonlinearity and chaos in economic models. Expected policy implications are interpreted as a driving force behind the recent proliferation of research in this area. In general, it appears that no...

Empirical work in macroeconomics is plagued by small sample size and large idiosyncratic variation. This problem is especially severe in the case of transition economies. We use a mixed estimation method incorporating information from OECD country data to estimate the parameters of a...

Many recent studies in macroeconomics have focused on the estimation of DSGE models using a system of loglinear approximations to the models' nonlinear equilibrium conditions. The term macroeconometric equivalence encapsulates the idea that estimates using aggregate data based on first-order...

This paper proposes a solution method to solve linear difference models with lagged expectations. Variables with lagged expectations expand the model's state space greatly when N is large; and getting the system into a canonical form solvable by the traditional methods involves substantial manual...