Temperatures and cyclones strongly associated with economic production in the Caribbean and Central America

By Solomon Hsiang. Proceedings of the National Academy of Sciences of the United States of America, 2010

1,032 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Economics and Econometrics, Soil Science

View Paper: https://www.semanticscholar.org/paper/434f93510645b2f5f9382854240adad9f615d051

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology, Evolution, Behavior and Systematics

In Economics and Econometrics

In Soil Science

Citations in the corpus

Using Weather Data and Climate Model Output in Economic Analyses of Climate Change (2013, neutral): “Several recent studies have used 3This data set is sometimes called the NCEP/NCAR/DOE (i.e., US Department of Energy) reanalysis. similar country-level aggregates and averages (Dell, Jones, and Olken 2012; Hsiang 2010; Schlenker and Lobell 2010).”
The impact of climate conditions on economic production. Evidence from a global panel of regions (2020, background): “, 2017) which affects labor productivity (Hsiang, 2010) and mortality (Barreca et al.”
Does the Environment Still Matter? Daily Temperature and Income in the United States (2014, background): “Linearizing the effect of temperature relative to the approximate zero effect at 15◦C (59◦F), this is a marginal change in daily productivity of −23.6%14◦C = −1.68%/ ◦C = −0.93%/◦F. Interestingly, this county-level effect is quantitatively similar to the −1.0%/◦C and −2.5%/◦C decline in annual…”
The Economic Origins of Conflict in Africa (2017, neutral): “…one that is corrected for spatial and serial correlationwithin a radius of 500 km, using the procedure developed by Conley (1999) and implemented by Hsiang (2010); and one that is corrected for spatial correlation across countries and serial correlation within cells, which is generally more…”
The GDP-Temperature relationship: Implications for climate change damages (2021, neutral): “Like Hansen et al. (2011), we employ a decision rule that iteratively eliminates the model with the greatest standardized loss relative to the average of models remaining in the consideration 40Note that, in the levels effect models, the weather functions depend on the first difference of temperatur”
Estimating the Impact of Drought on Agriculture Using the U.S. Drought Monitor (2018, neutral): “We account for potential spatial correlation in the error terms by using an OLS estimator with nonparametric estimation of the variance-covariance matrix for eist, developed by Hsiang (2010).”
Quantifying the Influence of Climate on Human Conflict (2013, background): “The structure of this relationship again seems to implicate a pathway through climateinduced changes in income, either agricultural (48, 67–69) or nonagricultural (20, 21), although this hypothesis remains speculative.”
Understanding the adaptation deficit: why are poor countries more vulnerable to climate events than rich countries? (2013, background): “(2005) and Schumacher and Strobl (2011) control for earthquake magnitude only, while Bakkensen (2013) and Hsiang and Narita (2012) include magnitude data for tropical cyclone events only. Nordhaus (2010), Mendelsohn et”
Temperature and temperament: Evidence from Twitter (2020, background): “Coastal areas will face rising sea levels and major economic impacts from typhoons or hurricanes (Hsiang 2010).”
Temperature Shocks and Industry Earnings News (2019, background): “For example, extreme temperatures have been shown to affect agricultural productivity, labor supply, and aggregate industrial output (Fisher et al., 2012; Graff‐Zivin and Neidell, 2014; Jones and Olken, 2010; Hsiang, 2010).”