Assistant Professor, University of Oregon, Department of Economics, 2018–present
B.S. Mathematics, University of Nebraska–Lincoln, 2007
M.S. Agricultural Economics, University of Nebraska–Lincoln, 2013
M.S. Statistics, University of Nebraska–Lincoln, 2013
M.S. Agricultural and Resource Economics, UC Berkeley, 2015
Ph.D. Agricultural and Resource Economics, UC Berkeley, 2018
Committee: Maximilian Auffhammer, Meredith Fowlie, Reed Walker
Primary interests: Environmental & Energy Economics, Applied Econometrics & Data Science, Inequality & Public Policy
Secondary interests: Health Economics, Development Economics, Criminal Justice
The Economic Impact of Critical Habitat Designation: Evidence from Vacant-Land Transactions
Maximilian Auffhammer, Maya Duru, Edward Rubin, and David L. Sunding. 2020. Land Economics, 96(2), 188–206.
Bringing Satellite-Based Air-Quality Estimates Down to Earth
Meredith Fowlie, Edward Rubin, and Reed Walker. 2019. AEA Papers and Proceedings, 109: 283-88.
(Book) Data Science for Public Policy
Jeffrey Chen, Edward Rubin, and Gary Cornwall. 2021. Springer
Decomposing “the” Elasticity of Demand: Empirical and Policy Insights from 300 Million Natural Gas Bills
Maximilian Auffhammer and Edward Rubin
Revise and resubmit
Strategic Shutdowns of Air Quality Monitors: Evidence from Jersey City and Across the U.S.
Yingfei Mu, Edward Rubin, and Eric Zou
The strategic local geography of US electricity emissions
John Morehouse and Edward Rubin
Under review
What can we machine learn (too much of) in 2SLS? Insights from a bias decomposition and simulation
Connor Lennon, Edward Rubin, and Glen Waddell
Customer Discrimination in the Workplace: Evidence from Online Sales
Erin Kelley, Gregory Lane, Edward Rubin, and Matthew Pecenco
How unequal is access to short-term risk mitigation? Evidence from wildfire smoke and cellphones
Marcus Holloway and Edward Rubin
Coordination versus environmental adaptation: How much does standardized time change behavior?
Patrick Baylis, Severin Borenstein, and Edward Rubin
Are our hopes too high? Testing cannabis legalization’s potential to reduce criminalization
Edward Rubin
Do aerially applied pesticides affect local air quality? Empirical evidence from California’s San Joaquin Valley
Edward Rubin
Declining power-plant emissions, co-benefits, and regulatory rebound
Meredith Fowlie, Edward Rubin, and Catherine Wright
Mismeasurement in exposure and access: Insights from cellphone data
Edward Rubin
Interactions between measurement error and policy
Edward Rubin
How salient are environmental risks? The short- and long-run effects of lead exposure in piped water
Edward Rubin
Is “Michelle” less productive than “Michael”? A field experiment on consumer-based gender discrimination
Erin Kelley, Gregory Lane, Matthew Pecenco, and Edward Rubin
EC607: Econometrics (III): Causal inference
EC524: Econometrics (II): Prediction and machine learning
EC421: Introduction to Econometrics (II)
ARE 212: Econometrics - Multiple Equation Estimation
STAT 380: Statistics and Applications
STAT 218: Introduction to Statistics
EPA: A Retrospective Analysis of Indirect Air Quality Benefits from Power-Sector Emissions Reductions, 2021
Sloan Foundation (for TWEEDS), 2020–2022
University of Oregon Data-Science Initiative Seed Funding, 2019–2020
University of Oregon Program Grant, Fall 2019
EPA EmPOWER Air Data Challenge Winner, 2019–2020
with Meredith Fowlie
Private Enterprise Development in Low-Income Countries (PEDL) Exploratory Research Grant, 2018–2019
with Erin Kelley, Gregory Lane, and Matthew Pecenco
Outstanding Graduate-Student Instructor, UC Berkeley, 2018
Private Enterprise Development in Low-Income Countries (PEDL) Exploratory Research Grant, 2017–2018
with Erin Kelley and Matthew Pecenco
Giannini Foundation Mini-Grant, 2017–2018
with Maximilian Auffhammer
UC Berkeley ARE Summer Grant, 2016
GAANN Fellowship 2013–2015
Power Plants, Air Pollution, and Regulatory Rebound
Oregon State University, May 2022
Power Plants, Air Pollution, and Regulatory Rebound
National Graduate Institute for Policy Studies (GRIPS), April 2022
Power Plants, Air Pollution, and Regulatory Rebound
UC Berkeley ARE, April 2022
What’s missing in environmental (self-)monitoring? Evidence from strategic shutdowns of pollution monitors
CU Environmental & Resource Economics Workshop, October 2021
Pollution co-benefits and regulatory rebound
RFF/EPA, October 2021
What’s missing in environmental (self-)monitoring? Evidence from strategic shutdowns of pollution monitors
AERE Remote Conference, June 2021
Downwind and out: The Strategic dispersion of power plants and their pollution
AERE Remote Conference, June 2021
A retrospective analysis of indirect air-quality benefits from power-sector emissions reductions
RFF/EPA (Online), December 2020
Estimating and decomposing “the” elasticity of demand: Empirical and policy insights from 600 million natural gas bills
Duke Energy Data Analytics Symposium, December 2020
Mismeasurement in exposure and access: Insights from cellphone data
AERE Remote Conference, June 2020
Declining power-plant emissions, co-benefits, and regulatory rebound
ASSA Annual Meeting, January 2020
Mismeasurement in exposure and access: Insights from cellphone data
Western Economic Association Internation (WEAI) Annual Conference, June 2019
The economic impact of critical-habitat designation: Evidence from vacant-land transactions
The Occasional Workshop (UCSB), November 2018
Natural gas elasticities and optimal cost recovery under heterogeneity: Evidence from 300 million natural gas bills in California
World Congress of Environmental Economics (WCERE), June 2018
Is “Michelle” less productive than “Michael”? A field experiment on consumer-based gender discrimination in the marketplace
UC Berkeley, Computational Text Analysis Working Group, April 2018
Natural gas elasticities and optimal cost recovery under heterogeneity: Evidence from 300 million natural gas bills in California
University of Oregon, Economics, February 2018
Is “Michelle” less productive than “Michael”? A field experiment on consumer-based gender discrimination in the marketplace
IGC-PEDL Workshop at Oxford, December 2017
Natural gas elasticities and optimal cost recovery under heterogeneity: Evidence from 300 million natural gas bills in California
Heartland Environmental and Resource Economics Workshop, September 2017
Is “Michelle” less productive than “Michael”? A field experiment on consumer-based gender discrimination in the marketplace
Berkeley Development Economics Lunch, September 2017
Natural gas elasticities and optimal cost recovery under heterogeneity: Evidence from 300 million natural gas bills in California
Camp Resources, August 2017
Natural gas elasticities and optimal cost recovery under heterogeneity: Evidence from 300 million natural gas bills in California
AAEA Annual Meeting, August 2017
Do marijuana stores increase or reduce neighborhood crime? Evidence from Denver, Colorado
UC Berkeley, Summer Research Seminar, July 2017
Natural gas elasticities and optimal cost recovery under heterogeneity: Evidence from 300 million natural gas bills in California
AERE Annual Summer Conference, June 2017
Summertime, and pass-through is easier: Chasing down price elasticities for residential natural gas demand in 275 million bills
22nd Annual POWER Conference on Energy Research and Policy, March 2017
Natural gas elasticities, seasonal heterogeneity, and consumer behavior: Evidence from 300M+ bills
UC Berkeley, Environmental and Resource Economics Seminar, November 2016
(Mile-) High Quandaries: Evidence from Denver that Marijuana Legalization May Increase Drug Arrests
UC Berkeley, Environmental and Resource Economics Seminar, April 2015
Irrigation and Climatic Effects on Water Levels in the U.S. High Plains Aquifer Along the 41st Parallel in Nebraska (and Several Questions about Model Complexity)
University of Nebraska–Lincoln, Statistics Departmental Seminar, March 2013
Irrigation and Climatic Effects on Water Levels in the U.S. High Plains Aquifer
International Conference of Agricultural Economists, poster, August 2012
Graduate students: Mary Kopriva (UO, co-chair), Max Mindock (UO, committee member); Kyle Wilson (UO, committee member)
Other
Computational
Linguistic
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