Which housing characteristics are important for understanding homeownership rates?

This article provides a selective review on the recent literature on econometric models of network formation.

This paper introduces measures for how each moment contributes to the precision of parameter estimates in GMM settings.

We propose an optimal-transport-based matching method to nonparametrically estimate linear models with independent latent variables.

We study the incidental parameter problem in "three-way" Poisson Pseudo-Maximum Likelihood "PPML" gravity models recently recommended for identifying the effects of trade policies.

We consider two recent suggestions for how to perform an empirically motivated Monte Carlo study to help select a treatment effect estimator under unconfoundedness.

We propose a nonparametric inference method for causal effects of continuous treatment variables, under unconfoundedness and in the presence of high-dimensional or nonparametric nuisance parameters.

Many economic activities are embedded in networks: sets of agents and the (often) rivalrous relationships connecting them to one another.

We compare two groups of the non-student Korean population—native-born South Koreans (SK) and North Korean refugees (NK)—with contrasting institutional and cultural backgrounds.

We set up an econometric model of persuasion and study identification of key parameters under various scenarios of data availability.

This study develops a framework for testing hypotheses on structural parameters in in-complete models.

We investigate the consequences of discreteness in the assignment variable in regression-discontinuity designs for cases where the outcome variable is itself discrete.