
@article{ref1,
title="Rising economic damages of natural disasters: trends in event intensity or capital intensity?",
journal="Proceedings of the National Academy of Sciences of the United States of America",
year="2020",
author="Geiger, Tobias and Stomper, Alex",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="<p> The recent paper by Coronese et al. (1) reports a rise in economic damages due to extreme natural disasters reported in the Emergency Events Database (EM-DAT) (2).  While Coronese et al.’s (1) paper is timely and relevant, we have serious concerns regarding the analysis and the interpretation of the results. First, the dependent variable of Coronese et al.’s (1) main model is, according to the definition in EM-DAT, a measure of capital stock (CS) damages, and CS data should therefore be used as a control variable. While CS data are contained in the Penn World Table (PWT) (3), Coronese et al. (1) instead used gross domestic product (GDP) data from the same source. This is concerning because the trends estimated by ref. 1 could be due to temporal trends in CS/GDP ratios. If CS data were used instead of GDP, Coronese et al.’s (1) main model would be   Dai=α+βti+γCSc(li),ti+δti×CSc(li) … </p> <p>Language: en</p>",
language="en",
issn="0027-8424",
doi="10.1073/pnas.1922152117",
url="http://dx.doi.org/10.1073/pnas.1922152117"
}