Data and Code for: Clean Identification? The Effects of the Clean Air Act on Air Pollution, Exposure Disparities and House Prices

Principal Investigator(s): View help for Principal Investigator(s) Lutz Sager, Georgetown University; Gregor Singer, London School of Economics

Version: View help for Version V1

Name	File Type	Size	Last Modified
SS_replication			09/20/2023 11:47:AM

Project Citation:

Sager, Lutz, and Singer, Gregor. Data and Code for: Clean Identification? The Effects of the Clean Air Act on Air Pollution, Exposure Disparities and House Prices. Nashville, TN: American Economic Association [publisher], 2025. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2025-01-15. https://doi.org/10.3886/E192280V1

Project Description

Summary: We assess the US Clean Air Act standards for fine particulate matter (PM2.5). Using high-resolution data, we find that the 2005 regulation reduced PM2.5 levels by 0.4μg/m^3 over five years, with larger effects in more polluted areas. Standard difference-in-differences overstates these effects by a factor of three because time trends differ by baseline pollution, a bias we overcome with three alternative approaches. We show that the regulation contributed to narrowing Urban-Rural and Black-White PM2.5 exposure disparities, but less than difference-in-differences suggest. Pollution damages capitalized into house prices, on the other hand, appear larger than previously thought when leveraging regulatory variation.

Scope of Project

JEL Classification:
      Q52 Pollution Control Adoption and Costs; Distributional Effects; Employment Effects
      Q53 Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
      Q58 Environmental Economics: Government Policy

Geographic Coverage: United States

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Published Versions

V1 [2025-01-15]

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