A5081735810- Coastal and Marine Dynamics
- Climate Change Policy and Economics
- Climate Change and Health Impacts
- Global Health Care Issues
- Coastal and Marine Management
- Tropical and Extratropical Cyclones Research
- Atmospheric and Environmental Gas Dynamics
- Flood Risk Assessment and Management
- Climate variability and models
- Insurance, Mortality, Demography, Risk Management
- Crime Patterns and Interventions
- Wildlife Conservation and Criminology Analyses
- Energy, Environment, and Transportation Policies
- Psychological Well-being and Life Satisfaction
- Agricultural risk and resilience
- Employment and Welfare Studies
- Hydrology and Watershed Management Studies
- Climate change impacts on agriculture
- Health disparities and outcomes
- Energy, Environment, Economic Growth
- Marine and environmental studies
- Global Energy Security and Policy
- Energy and Environment Impacts
- Agriculture Sustainability and Environmental Impact
- Pediatric health and respiratory diseases
Rhodium Group (United States)
2017-2023
Purdue University West Lafayette
2020-2021
Costing out the effects of climate change Episodes severe weather in United States, such as present abundance rainfall California, are brandished tangible evidence future costs current trends. Hsiang et al. collected national data documenting responses six economic sectors to short-term fluctuations. These were integrated with probabilistic distributions from a set global models and used estimate during remainder this century across range scenarios (see Perspective by Pizer). In terms...
This study reports a new and significantly enhanced analysis of US flood hazard at 30 m spatial resolution. Specific improvements include updated hydrography data, methods to determine channel depth, more rigorous frequency analysis, output downscaling property tract level, inclusion the impact local interventions in flooding system. For first time, we consider pluvial, fluvial, coastal hazards within same framework provide projections for both current (rather than historic average)...
Abstract Using 40 countries’ subnational data, we estimate age-specific mortality-temperature relationships and extrapolate them to countries without data today into a future with climate change. We uncover U-shaped relationship where extre6me cold hot temperatures increase mortality rates, especially for the elderly. Critically, this is flattened by higher incomes adaptation local climate. revealed-preference approach recover unobserved costs, that mean global in risk due change, accounting...
Climate change threatens global food systems, but the extent to which adaptation will reduce losses remains unknown. Here, we empirically estimate net impact of producer adaptations around world using longitudinal data on six staple crops spanning 12,658 sub-national units, capturing two-thirds crop calories. We project that and income growth nearly halve at end-of-century, substantial residual remain for all staples except rice. Global damages are dominated by modern-day breadbaskets...
Abstract. Global climate models (GCMs) are important tools for understanding the system and how it is projected to evolve under scenario-driven emissions pathways. Their output widely used in impacts research modeling current future effects of change. However, model remains coarse relation high-resolution data needed studies, also exhibits biases relative observational data. Treatment distribution tails a key challenge existing bias-adjusted downscaled datasets available at global scale;...
Using 40 countries' subnational data, we estimate age-specific mortality-temperature relationships and extrapolate them to countries without data today into a future with climate change. We uncover U-shaped relationship where extreme cold hot temperatures increase mortality rates, especially for the elderly. Critically, this is flattened by both higher incomes adaptation local climate. revealed preference approach recover unobserved costs, that mean global in risk due change, accounting...
This paper develops the first globally comprehensive and empirically grounded estimates of worker disutility due to future temperature increases caused by climate change. Harmonizing daily worker-level data from seven countries representing nearly a third world's population, we evaluate causal effect on labor supply, recovering an inverted U-shaped relationship where extreme cold hot temperatures lead supply losses for workers in weather-exposed industries. We then develop micro-founded,...
Abstract. Global climate models are important tools for understanding the system and how it is projected to evolve under scenario-driven emissions pathways. Their output widely used in impacts research modeling current future effects of change. However, model remains coarse relation high-resolution data needed studies, also exhibits biases relative observational data. Treatment distribution tails a key challenge existing downscaled datasets available at global scale; many these quantile...
Abstract. Sea level rise (SLR) may impose substantial economic costs to coastal communities worldwide, but characterizing its global impact remains challenging because SLR depend heavily on natural characteristics and human investments at each location – including topography, the spatial distribution of assets, local adaptation decisions. To date, several models have been developed estimate SLR. Yet, limited availability open-source modular platforms that easily ingest up-to-date...
Abstract. Global sea level rise (SLR) may impose substantial economic costs to coastal communities worldwide, but characterizing its global impact remains challenging because SLR depend heavily on natural characteristics and human investments at each location—including topography, the spatial distribution of assets, local adaptation decisions. To date, several models have been developed estimate SLR, yet limited availability open-source modular platforms that easily ingest up-to-date...
Empirical growth regressions typically include mean years of schooling as a proxy for human capital. However, empirical research often finds that the sign and significance depends on sample observations or specification model. We use nonparametric local-linear regression estimator variable relevance test to conduct rigorous systematic search by examining five most comprehensive databases. Contrary few recent papers have identified significant nonlinearities between education growth, our...
This paper reports a new and significantly enhanced analysis of US flood hazard at 30m spatial resolution. Specific improvements include updated hydrography data, methods to determine channel depth, more rigorous frequency analysis, output downscaling property tract level inclusion the impact local interventions in flooding system. For first time we consider pluvial, fluvial coastal hazards within same framework provide projections for both current (rather than historic average) conditions...
Using 40 countries’ subnational data, we estimate age-specific mortality-temperature relationships and extrapolate them to countries without data today into a future with climate change. We uncover U-shaped relationship where extreme cold hot temperatures increase mortality rates, especially for the elderly. Critically, this is flattened by both higher incomes adaptation local climate. revealed preference approach recover unobserved costs, that mean global in risk due change, accounting...
This study exploits spatial and temporal variation in natural disasters the United States via a generalized differences-in-differences approach to identify impact of on households’ food-at-home (FAH) spending quality from 2005 2016. We use two datasets: (i) Storm Events Database U.S. counties that experience severe economic losses as result droughts, floods, hurricanes, tornadoes, (ii) Nielsen Consumer Panel Data for grocery data. find only floods hurricanes affect FAH spending. Floods...
Urbanization, by definition, is accompanied a large loss of rural population. This transition can lead to the problem population hollowing, or migration young middle-aged adults while leaving only and old in areas. paper studies impact hollowing on residents’ welfare. Taking China as an example, based data 4,451 households from 298 villages, we find evidence inverted U-shaped relationship between degree happiness residents, indicating that low levels correspond increases but higher decline...