2013-2018, Ph.D. Candidate
     Department of Economics
     University of Illinois at Urbana-Champaign
2018-2019, Postdoctoral Associate
     Cornell Institute for China Economic Research
     Cornell University
2019- , Assistant Professor
     Department of Economics
     University of Oregon

Curriculum Vitae, May 2019
Email: ericzou@cornell.edu
Phone: (217) 418-7977
Address: 410 Warren Hall, 137 Reservoir Avenue, Ithaca NY 14850

Research Papers

"Unwatched Pollution: The Effect of Intermittent Monitoring on Air Quality"
Revise and resubmit, American Economic Review
Paper, Appendix, August 2018

"Wind Turbine Syndrome: The Impact of Wind Farms on Suicide"
Revise and resubmit, American Economic Journal: Economic Policy
Paper, September 2018

"Blowing Smoke: Health Impacts of Wildfire Plume Dynamics"
With Nolan Miller and David Molitor
Paper, October 2017

"Air Pollution and the Labor Market: Evidence from Wildfire Smoke"
With Mark Borgschulte and David Molitor
Paper, June 2019

"Sampling Meets Big Data: Measuring the Unintended Consequences of Intermittent Air Quality Monitoring"
With Nolan Miller and David Molitor
Abstract, August 2018
This paper shows an example of how routinely generated data help reveal shortcomings of sampling-based environmental monitoring. We study a federal air quality regulation's monitoring rule, which conducts sampling of ambient particulate matter pollution once every six days. Previous analysis of satellite data shows evidence of strategic increases in polluting activities on days when monitoring is not conducted. Here, we extend the analysis by measuring health consequences using Medicare’s administrative enrollment directory and medical claims for the near-universe of the U.S. population aged 65 and over. We find that higher pollution on an unmonitored day coincides with a significant increase in elderly mortality rates the following day. Evidence suggests that asthma attacks also increase on unmonitored days. We calculate that the annual loss of health values due to intermittent monitoring more than negates the cost-savings from reduced monitoring frequency.