Aashish Gupta

Biographic Data

ID3594696
NAMEAashish Gupta
GIVEN NAMESAashish
FAMILY NAMEGupta
SIGNATUREGUPTA A
AFFILIATIONSUniversity of Pennsylvania
ORCID0000-0002-1522-1119
VERIFIEDYes
TOTAL WORKS11
TOTAL CITATIONS15
AUTHOR COUNT11
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2025
H-INDEX2

  • A gender gap in happiness: Documenting a puzzle from Indian survey data

    Diane Coffey, Yiwen Wang et al.ARTICLEAsian Population Studies2025References: 7

    Happiness studies from around the world find that women report greater happiness than men. Few studies investigate this gap in India, wherethere are important gender disparities in social, educational, economic, and health outcomes. We use WHO SAGE 2007-08 data to document gaps in self-reported happiness between men and women in middle and later adulthood. We find that women are 5 percentage points more likely to report being "very happy" or "hap…

  • Widow and Widower Mortality in India: A Research Note

    Open AccessM N Reed, Babul Hossain et al.ARTICLEDemography2025References: 58

    Widowhood is associated with elevated mortality risk in many social contexts. This research note is the first study to quantify and contextualize the mortality risk of widowhood for men (widowers) and women (widows) in India. We do so by using data from the first wave of the India Human Development Survey (2004–2005) on individuals whose survival status was observed seven years later in the second wave of the survey. We find no differences in mor…

  • Large and unequal life expectancy declines during the Covid-19 pandemic in India in 2020

    Aashish Gupta, Payal Hathi et al.PREPRINT2023

    Global population health during the COVID-19 pandemic is poorly understood because of weak mortality monitoring in low- and middle-income countries. High-quality survey data on 765,180 individuals, representative of one-fourth of India’s population, uncover patterns missed by incomplete vital statistics and disease surveillance. Compared to 2019, life expectancy at birth was 2.6 years lower and mortality was 17% higher in 2020, implying 1.19 mill…

  • Estimates of pandemic excess mortality in India based on civil registration data

    Open AccessMurad Banaji, Aashish Gupta et al.ARTICLEPLOS Global Public Health2022

    The population health impacts of the COVID-19 pandemic are less well understood in low and middle-income countries, where mortality surveillance before the pandemic was patchy. Interpreting the limited all-cause mortality data available in India is challenging. We use existing data on all-cause mortality from civil registration systems of twelve Indian states comprising around 60% of the national population to understand the scale and timing of e…

  • Can administrative health data be used to estimate population level birth and child mortality estimates? A comparison of India's Health Information Management System data with nationally representativ…

    Open AccessPritha Chatterjee, Aashish Gupta et al.ARTICLESSM - Population Health2022

    HMIS covers a large proportion of births, but a smaller fraction of child deaths compared to estimates from surveys. • Birth and death coverage in HMIS, while incomplete, has been improving nationally and for many states. • States that have improved HMIS reporting, should be studied for replicating best practices. • HMIS can provide signals for real time policy decisions, if used with due consideration of its limitations. • Including patient soci…

  • Seasonal variation in infant mortality in India

    Aashish GuptaARTICLEPopulation Studies2022Cited by: 1References: 57

    Investigating seasonal variation in health helps us understand interactions between population, environment, and disease. Using information on birth month and year, survival status within the first year of life, and age at death (if applicable) of more than 330,000 children observed in four rounds of India’s Demographic and Health Surveys, I estimate period mortality rates between birth and age one (1m0) by calendar month. Relative to spring mont…

  • Large and Persistent Life Expectancy Disparities between India's Social Groups

    Open AccessAashish Gupta, Nikkil SudharsananARTICLEPopulation and Development Review2022Cited by: 4References: 32

    India is one of the most rigidly stratified societies in the world, yet little is known about life expectancy disparities in the country. We provide direct estimates of social differences in life expectancy in India using survey data spanning two decades. We show that individuals from the Scheduled Castes and Scheduled Tribes have drastically and persistently lower life expectancies than high-caste individuals (between 4.2-4.4 years for women and…

  • Premature adult mortality in India: What is the size of the matter

    Open AccessChalapati Rao, Aashish Gupta et al.ARTICLEBMJ Global Health2021

    BACKGROUND: Reducing adult mortality by 2030 is a key component of the United Nations Sustainable Development Goals (UNSDGs). Monitoring progress towards these goals requires timely and reliable information on deaths by age, sex and cause. To estimate baseline measures for UNSDGs, this study aimed to use several different data sources to estimate subnational measures of premature adult mortality (between 30 and 70 years) for India in 2017. METHOD…

  • Gender and LPG use after government intervention in rural north India

    Open AccessSangita Vya, Aashish Gupta et al.ARTICLEWorld Development2021Cited by: 7References: 9

  • Caste, Religion, and Mental Health in India

    Open AccessAashish Gupta, Diane CoffeyARTICLEPopulation Research and Policy…2020Cited by: 1References: 47

  • Where there is smoke: Solid fuel externalities, gender, and adult respiratory health in India

    Open AccessAashish GuptaARTICLEPopulation and Environment2019Cited by: 2References: 53