The world is replete with spatial frictions. Shipping goods across cities entails trade frictions. Commuting within cities causes urban frictions. How important are these frictions in shaping the spatial economy? We develop and quantify a novel framework to address this question at three...

We investigate a competitive labor market with team production. Workers differ in their motivation to exert team effort and types are private information. We show that there can exist a separating equilibrium in which workers self-select into different firms and firms employing cooperative...

Male and female choices differ in many economic situations, e.g., on the labor market. This paper considers whether such differences are driven by different attitudes towards competition. In our experiment subjects choose between a tournament and a piece-rate pay scheme before performing a real...

When exogenously imposed, rank-order tournaments have incentive properties but their overall efficiency is reduced by a high variance in performance (Bull, Schotter, and Weigelt 1987). However, since the efficiency of performance-related pay is attributable both to its incentive effect and to...

Rothschild and Stiglitz (1976) show that there need not exist a competitive equilibrium in markets with adverse selection. Building on their framework we demonstrate that externalities between agents - an agent's utility upon accepting a contract depends on the average type attracted by the...

In this paper we describe an alternative iterative approach for the estimation of linear regression models with high-dimensional fixed-effects such as large employer-employee data sets. This approach is computationally intensive but imposes minimum memory requirements. We also show that the...

Currently available asymptotic results in the literature suggest that matching estimators have higher variance than reweighting estimators. The extant literature comparing the finite sample properties of matching to specific reweighting estimators, however, has concluded that reweighting...

This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data models with unobserved endogenous state variables. The new approach can easily deal with the commonly encountered and widely discussed "initial conditions problem," as well as the...