打印

作者

Kyle Butts

来源

来源 JOURNAL OF URBAN ECONOMICS,Vol.133,P.

语言

英文

关键字

Spatial econometrics;Spillover effects;Difference-in-differences;Nonparametric estimation;C13;C14;C18

作者单位

University of Colorado, Boulder, United States;University of Colorado, Boulder, United States

摘要

I formalize a commonly-used estimator for the effects of spatially-targeted treatment with geocoded microdata. This estimator compares units immediately next to treatment to units slightly further away. I introduce intuitive identifying assumptions for the average treatment effect among affected units and illustrate problems when these assumptions fail. I propose a new method that allows for nonparametric estimation following methods introduced in Cattaneo et al.(2019b) that allows estimation without requiring knowledge of exactly how far treatment effects are experienced. Since treatment effects can change with distance, the proposed estimator improves estimation by estimating a treatment effect curve.