THE ECONOMICS OF HURRICANES AND IMPLICATIONS OF GLOBAL WARMING

By William Nordhaus. 2010

260 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/e1f3fcc2194ae7f921d89b3e789dba6c1abf9796

How researchers see this paper

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

In Atmospheric Science

In Global and Planetary Change

In Sociology and Political Science

Citations in the corpus

The political economy of natural disaster damage (2014, background): “Nordhaus (2010) finds that a 9th-power transformation of top wind speed fits US hurricane damage data best, while Bouwer and Botzen (2011) find a best fit for an 8th-power transformation.”
A trend analysis of normalized insured damage from natural disasters (2012, background): “…1998; Brooks and Doswell 2001; Vranes and Pielke 2009; Schmidt et al. 2009) or the value of dwellings (Crompton and McAneney 2008), others, often due to the lack of data, simply use GDP per capita (e.g., Raghavan and Rajseh 2003; Pielke et al. 2003; Miller et al. 2008; Barredo 2009; Nordhaus 2010).”
Destruction, Disinvestment, and Death: Economic and Human Losses Following Environmental Disaster (2013, background): “It is plausible that damage is highly non-linear in windspeed; for example, Nordhaus (2010) and Mendelsohn et al. (2012) argue that losses are a power function of windspeed at landfall.”
The economic costs of Hurricane Harvey attributable to climate change (2020, methodology): “Nordhaus (Nordhaus, 2010), using a more aggregated data, describes a very convex non-linear damage function in his investigation of 1 Using the information about the deaths from Harvey, we use an estimated average age at death of 49.”
Understanding the adaptation deficit: why are poor countries more vulnerable to climate events than rich countries? (2013, background): “Nordhaus (2010), Mendelsohn et al. (2010), Hsiang (2010), and Strobl (2011) include hurricane magnitude data, but focus exclusively on the US.”
Risk and Adaptation: Evidence from Global Hurricane Damages and Fatalities (2016, background): “Several proxy databases exist (Nordhaus 2006; De Bono 2013) but the detailed variation across space is driven mainly by population rather than income per capita assumptions.”
US billion-dollar weather and climate disasters: data sources, trends, accuracy and biases (2013, unknown): “For instance, at least borderline statistically significant trends in the aggregate annual loss from tropical cyclones (Barthel and Neumayer 2012), as well as in the frequency of damaging events (Katz 2010) and in the loss from individual storms (Nordhaus 2010), have been obtained.”
Storms and Jobs: The Effect of Hurricanes on Individuals’ Employment and Earnings over the Long Term (2020, background): “hurricane damages and related government spending are expected to increase over time due to climate change and an increase in the population of coastal areas (Nordhaus, 2010).”
Global Warming Effects on U.S. Hurricane Damage (2011, background): “For example, Nordhaus (2010) estimates that damage varies as the ninth power of wind speed for wind damage in the United States.”
Have disaster losses increased due to anthropogenic climate change (2011, background): “Tropical storm United States 1900–2008 GDP Increase since 1900 Nordhaus (2010)”
Informing Climate Adaptation: A Review of the Economic Costs of Natural Disasters, Their Determinants, and Risk Reduction Options (2012, unknown): “Nordhaus (2010) estimates that the vulnerability of capital stock to hurricanes roughly doubles with one meter of SLR; assuming no adaptation, this is an increase in damages of 0.5 percent per year over the next 100 years.”