Curriculum Vitae
Contact Information
Phone: (917) 854-2749
Email: connor.redpath@gmail.com
Personal Website: credpath.github.io
FDIC Website: fdic.gov/consumerresearch
UCSD Website: ucsd.edu/~credpath
Education
University of California, San Diego
La Jolla, CA
PhD Economics - 2023
CPhil Economics - 2021
MA Economics - 2019
Fordham University
New York, NY
BSc in Mathematics and, with Honors, in Economics summa cum laude - 2017
Relevant Positions Held
Research Economist, FDIC, 2023 - present
Fellow in Economics, Harvard University, 2021 - 2025
Research Assistant, Center for Health Economics & Policy Studies, 2020
Working Papers
“Spousal Visas and Couple Formation: Evidence United States v. Windsor” (under review)
Abstract:
How does spousal visa access affect couple formation? I answer by exploiting a change in the federal government's definition of spouse: following United States v. Windsor, same-sex couples gained access to spousal visas. I estimate this causes a 36% increase in couples and a 72% increase in marriage rates for mixed-citizenship same-sex couples, accounting for aggregate changes in other same-sex and mixed-citizenship couples using a triple difference design. Transfers, insurance, or fraud do not explain the results. Informal calculations suggest that 1.5 million people have partners thanks to spousal visas. I also find suggestive evidence consistent with improved match quality.“Officer Language and Suspect Race: A Text Analysis of Police Reports” (with Romaine Campbell)
Abstract:
We evaluate whether police officers use adjectives and adverbs that systematically differ by the suspect’s race (race-predictive language) and whether race-predictive language use relates to officer characteristics. We leverage a novel data set containing police report text from a single large urban police department. We identify race-predictive language using a linear combination of LASSO and ridge regression regularization with word counts, and we then use predicted race to construct an officer-level measure of race-predictive language. We find evidence that officers use different adjectives and adverbs in reports for Black versus white suspects. Black officers use less race-predictive language. Race-predictive language use correlates positively with officer inexperience and the number of instances of use-of-force.Publications
“Risk Aversion, Offsetting Community Effects, and COVID-19: Evidence from an Indoor Political Rally” Journal of Risk and Uncertainty 63, 133–167 (2021) (with Dhaval M. Dave, Andrew I. Friedson, Kyutaro Matsuzawa, Drew McNichols, Joseph J. Sabia)
Abstract:
The Centers for Disease Control and Prevention (CDC) deem large indoor gatherings without social distancing the “highest risk” activity for COVID-19 contagion. On June 20, 2020, President Donald J. Trump held his first mass campaign rally following the US coronavirus outbreak at the indoor Bank of Oklahoma arena. In the weeks following the event, numerous high-profile national news outlets reported that the Trump rally was “more than likely” the cause of a coronavirus surge in Tulsa County based on time series data. This study is the first to rigorously explore the impacts of this event on social distancing and COVID-19 spread. First, using data from SafeGraph Inc, we show that while non-resident visits to census block groups hosting the Trump event grew by approximately 25 percent, there was no decline in net stay-at-home behavior in Tulsa County, reflecting important offsetting behavioral effects. Then, using data on COVID-19 cases from the CDC and a synthetic control design, we find little evidence that COVID-19 grew more rapidly in Tulsa County, its border counties, or in the state of Oklahoma than each's estimated counterfactual during the five-week post-treatment period we observe. Difference-in-differences estimates further provide no evidence that COVID-19 rates grew faster in counties that drew relatively larger shares of residents to the event. We conclude that offsetting risk-related behavioral responses to the rally—including voluntary closures of restaurants and bars in downtown Tulsa, increases in stay-at-home behavior, displacement of usual activities of weekend inflows, and smaller-than-expected crowd attendance—may be important mechanisms.Teaching Experience
University of California, San Diego
La Jolla, CA
Instructor of Record
| Course | Title | Quarter |
|---|---|---|
| ECON 121 | Applied Econometrics & Data Analysis | Summer 2022 |
| ECON 3 | Principles of Macroeconomics | Summer 2021 |
Teaching Assistant
| Course | Title | Professor | Quarter |
|---|---|---|---|
| GPEC 446 | Applied Data Analysis | McIntosh | Spring 2023 |
| ECON 172B | Operations Research | Newhouse | Spring 2022 |
| ECON 120C | Econometrics | Wüthrich | Winter 2022 |
| ECON 121 | Applied Econometrics & Data Analysis | Vogl | Fall 2021 |
| ECON 121 | Applied Econometrics & Data Analysis | Vogl | Spring 2021 |
| ECON 172B | Operations Research | Berg | Winter 2021 |
| ECON 171 | Decision Under Uncertainty | Newhouse | Fall 2020 |
| ECON 3 | Principles of Macroeconomics | Howden | Summer 2020 |
| ECON 121 | Applied Econometrics & Data Analysis | Vogl | Winter 2020 |
| ECON 172A | Operations Research | Newhouse | Fall 2019 |
| ECON 110A | Macroeconomics | Rondina | Spring 2019 |
| ECON 172A | Operations Research | Newhouse | Winter 2019 |
| ECON 120A | Econometrics | Candido | Fall 2018 |
Reader
| Course | Title | Professor | Quarter |
|---|---|---|---|
| ECON 120C | Econometrics | Candido | Winter 2023 |
| ECON 120A | Econometrics | Tocoian | Fall 2022 |
| ECON 178 | Economics & Business Forecasting | O | Spring 2018 |
| ECON 172A | Operations Research | Newhouse | Winter 2018 |
| ECON 171 | Decisions Under Uncertainty | Newhouse | Fall 2017 |
Grants
| Institution | Year | |
|---|---|---|
| Travel and Research Grant - $400 | UCSD Econ | Spring 2022 |
| Travel and Research Grant - $255 | UCSD Econ | Winter 2022 |
| Travel and Research Grant - $500 | UCSD Econ | Fall 2021 |
Honors & Awards
| Institution | Year | |
|---|---|---|
| TA Excellence Award | UCSD Econ | 2020-2021 |
| Graduate Student Research Fellowship - $4 000 | UCSD Econ | 2019 |
| Graduate Student Research Fellowship - $4 000 | UCSD Econ | 2018 |
| Regents Fellowship - $13 000 | UCSD | 2017-2018 |
| Charles A O’Neil Award | Fordham University | 2017 |
| Dean’s List | Fordham University | 2015-2016, 2016-2017 |
Professional Activities
Seminar Presentations
| Name | Location | Year |
|---|---|---|
| Vanderbilt Empirical and Applied Microeconomics (VEAM) | Nashville | 2022 |
| UCSD Applied Lunch (x2) | San Diego | |
| UCSD Applied Lunch (x3) | San Diego | 2021 |
| CSQIEP Seminar Series | virtual | 2020 |
| UCSD Applied Lunch | San Diego |
Conference Presentations
| Name | Location | Year |
|---|---|---|
| APPAM | Atlanta | 2023 |
| WEAI Annual Meeting | San Diego | |
| Society of Economics of the Household | Copenhagen | |
| WEAI Annual Meeting | Portland | 2022 |
| PAA Annual Meeting (poster) | virtual | |
| Economic Demography Workshop | virtual | |
| AEA/ASSA Annual Meeting | virtual | |
| Economics Graduate Student Conference | St Louis | 2021 |
| All-California Labor Economics Conference (poster) | virtual |
Conference Discussant
| Name | Location | Year |
|---|---|---|
| WEAI Annual Meeting | San Diego | 2023 |
| WEAI Annual Meeting | Portland | 2022 |
Conference Reviewer
| Name | Location | Year |
|---|---|---|
| APPAM | Washington | 2024 |
| ACCI | Milwaukee | 2024 |
| Consumer Research Symposium | Arlington | 2024 |
Referee Service
Review of Economics of the Household, Scientific Reports, Social Forces
Other Service
Organizer, Consumer Research Symposium, 2024
Member, Search Committee for the Dean of Rady School of Management, 2019
Other Information
Skills: Stata, R, quanteda, spacyr, Latex, Beamer, Git