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Dyadic treatment effects: Theory and empirical applications *
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Estimating causal effects of treatments in randomized and nonrandomized studies.
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Best Spatial Two‐Stage Least Squares Estimators for a Spatial Autoregressive Model with Autoregressive Disturbances
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Average direct and indirect causal effects under interference
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Identification of causal diffusion effects using placebo outcomes under structural stationarity
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Identification and estimation of causal peer effects using double negative controls for unmeasured network confounding
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Cluster–Robust Variance Estimation for Dyadic Data
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Road Accidents and Traffic Flows: An Econometric Investigation
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Structural Equations, Treatment Effects, and Econometric Policy Evaluation1
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Identifying Social Interactions Through Conditional Variance Restrictions
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Structural analysis of network traffic flows
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Treatment and Spillover Effects Under Network Interference
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Policy-Relevant Treatment Effects
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Risk Sharing and Network Formation
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Recent Developments in the Econometrics of Program Evaluation
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The Introduction of the Income Tax, Fiscal Capacity, and Migration: Evidence from US States
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The Effect of Air Pollution on Migration: Evidence from China
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The Productivity Consequences of Pollution-Induced Migration in China
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Connect to Invest: Hometown Ties, Intranational Capital Flows, and Allocative Efficiency in China
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Biases in Dynamic Models with Fixed Effects
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Estimating Vector Autoregressions with Panel Data
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Determinants of International Trade Flows
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Identification of Endogenous Social Effects: The Reflection Problem
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Identification and Estimation of Local Average Treatment Effects
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The Effect of Air Pollution on Migration: Evidence from China
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Minimum Wages and Employment: A Case Study of the Fast Food Industry in New Jersey and Pennsylvania
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Panel Data Models With Interactive Fixed Effects
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Dyadic double/debiased machine learning for analyzing determinants of free trade agreements
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