ABOUT
I am a Ph.D. candidate in Resource Economics at the University of Massachusetts Amherst. As an applied economist, I work at the intersection of environmental and health economics.
My research examines how exposure to environmental conditions – such as temperature and air pollution – affect people’s well-being. By integrating high-frequency datasets, including satellite-based environmental measures, I employ rigorous empirical methods to generate evidence that informs effective and equitable public policy.
My work has been published in leading field journals, including the American Journal of Health Economics and the Journal of Environmental Economics and Management.
Please click here for my CV
Contact:
Email: sparshisriva@umass.edu
Twitter: @sparshi_sri
RESEARCH
JOB MARKET PAPER
“Evaluating the Effectiveness and Distributional Impacts of the National Clean Air Program in India“
Abstract: India launched the National Clean Air Program (NCAP) in 2019 as a major policy initiative aimed at reducing particulate pollution in severely affected cities. This paper evaluates the effect of NCAP on PM2.5 concentrations using a matched, difference-in-differences identification strategy with high-resolution, daily PM2.5 data. I find that between 2021 and 2023, NCAP failed to significantly reduce average PM2.5 levels or the number of days exceeding the Indian guideline for ambient air quality. This null average effect, however, hides substantial heterogeneity. I find that sub-districts that had poorer air quality prior to the start of the program have reduced PM2.5 concentrations by 8 percent under NCAP. I also find that PM2.5 concentrations in wealthier sub-districts have declined slightly, but that PM2.5 concentrations in the poorer sub-districts have increased by an average of 6 percent. These results show that aggregate null effects conceal meaningful heterogeneity: NCAP improved air quality where pollution was most severe but may have worsened conditions for the least affluent.
PUBLICATIONS
Abstract
This paper examines the short-term effects of temperature on mental health using variations in local temperatures and real-time data on individual mental health crisis conversations collected by the Crisis Text Line (CTL), a national text message-based crisis hotline. We find that daily average temperatures beyond 30°C (86 °F) lead to an 8 percent increase in the volume of crisis conversations relative to temperatures between 18 and 21°C (64.4 to 69.8° F). This rise is observed across a range of crisis topics, including depression, anxiety, and suicide. We also find that the magnitude of the association with higher temperatures increases with the severity of the crisis event. Because CTL users are predominantly young, these results offer important insights into the effects of temperature on the mental health of younger populations
Abstract
We provide evidence on the role of environmental exposures in shaping weight-related goals, behaviors, and outcomes. Using data from the 1991-2010 Behavioral Risk Factor Surveillance System and an identification strategy leveraging temperature deviations from local seasonal norms, we show that adults were less likely to report trying to lose weight, dieting to lose weight, and exercising to lose weight when temperatures fell below 20-25°C (68-77°F). We then show that temperature increases were associated with increases in respondents’ weekly servings of fruits and vegetables and the number of minutes they spent engaged in moderate or vigorous physical activity. Despite these behavioral changes, we find no evidence of a relationship between temperature and BMI
WORK IN PROGRESS
“Temperature and Cognitive Health Among India’s Older Population,” with Jamie T. Mullins
Abstract
This project focuses on the effects of high temperatures on the cognitive performance of older adults in India. We use the data from the Longitudinal Aging Study in India (LASI), similar to the Health and Retirement Survey in the US. The survey includes a range of tests to assess the cognitive function of the participants. Preliminary results of our analysis suggest that increases in contemporaneous temperatures – measured as daily maximum temperature – reduce individual’s ability to recall the place, date, time, and words as well as count backward from 20 and the results are concentrated in rural areas. It matters because India’s population is aging rapidly, and rural residents are more exposed and vulnerable to extreme heat than in urban areas. While much of the existing literature focuses on the effects of
temperature on the cognitive abilities of younger populations, our evidence shows that it also erodes the cognitive health of older populations, an underexplored channel through which a rise in temperature can worsen inequality and strain social and health systems.
“The Impact of Air Pollution on Mental Health: Evidence from the Korean Longitudinal Study of Aging,” with Taehyun Kim
TEACHING
Teaching Instructor, University of Massachusetts Amherst
- First Year Seminar (RES-ECON 191): Fall 2025
- Environmental Economics (Res-Econ 262): Summer 2025
- Intermediate Statistics for Business and Economics (RES-ECON 213): Summer 2023, 2024
- Hunger in the Global Economy (RES-ECON 121): Summer 2022
- Math Camp for incoming Ph.D. students: August 2021
Teaching Assistant, University of Massachusetts Amherst
- Introductory Statistics for the Social Sciences (RES-ECON 212): Fall 2024, Spring 2025
- Managerial Economics (RES-ECON 428): Spring 2024
- Advanced Topics in Environmental and Resource Economics (RES-ECON 472): Fall 2023, 2025
- Experimental Economics (RES-ECON 440): Fall 2023
- Natural Resource Economics (RES-ECON 263): Fall 2020, 2021, 2022
- Decision Analysis (RES-ECON 313): Spring 2020, 2021, 2022, 2024
- Hunger in the Global Economy (RES-ECON 121): Fall 2019
