Daniel Dench
Assistant Professor
- School of Economics
Overview
Daniel Dench joined Georgia Tech's School of Economics in the Fall of 2020. He is also a faculty affiliate at the Lab for Economic Opportunity at Notre Dame and the Health Economics & Policy Innovation Collaborative at Georgia Tech. Most recently his work has focused on how banning abortion has affected fertiltiy outcomes and migration outcomes post-Dobbs.
- Ph.D., The Graduate Center of the City University of New York
- B.A., Temple University
- Economics of Education
- Education Policy
- Health Economics
- ECON-2105: Prin of Macroeconomics
- ECON-4699: Undergraduate Research
- ECON-6140: Econometrics I
- ECON-6510: Health Economics
- ECON-8803: Health Economics I
Interests
Courses
- ECON-2105: Prin of Macroeconomics
- ECON-4699: Undergraduate Research
- ECON-6140: Econometrics I
- ECON-6510: Health Economics
- ECON-8803: Health Economics I
Publications
Journal Articles
- Energy price pass-through with long-term contracts
In: Economics Letters [Peer Reviewed]
Date: January 2026
We study the pass-through of wholesale natural gas prices into 12-month fixed-rate residential contracts in Georgia’s deregulated natural gas market. Our theoretical model suggests that socially optimal contracts should uniformly pass through future wholesale fuel costs during the contract period. We find that total pass-through is close to complete, but almost entirely driven by contemporaneous and lagged wholesale prices. Future price pass-through is limited and sometimes negative, deviating from the theoretical socially optimal benchmark.
- The Effects of Post-Dobbs Abortion Bans on Fertility
In: Journal of Public Economics [Peer Reviewed]
Date: June 2024
- Advances in Causal Inference at the Intersection of Air Pollution and Health Outcomes
In: Annual Review of Resource Economics [Peer Reviewed]
Date: October 2023
This article provides an overview of the recent economics literature analyzing the effect of air pollution on health outcomes. We review the common approaches to measuring and modeling air pollution exposures and the epidemiological and biological literature on health outcomes that undergird federal air regulations in the United States. The article contrasts the methods used in the epidemiology literature with the causal inference framework used in economics. In particular, we review the common sources of estimation bias in epidemiological approaches that the economics literature has sought to overcome with research designs that take advantage of natural experiments. We review new promising research designs for estimating concentration-response functions and identify areas for further research.
Updated: Jan 13th, 2026 at 2:23 PM