Economic loss: myth and measurement

By H. Cochrane. 2004

147 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Global and Planetary Change, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/7fe91e8dcb1b84320119db5939b3c427e7ba831e

How researchers see this paper

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

In Civil and Structural Engineering

1. Xue-qin Liu
2. Peijun Shi
3. Aijun Hu
4. Ning Li
5. Jidong Wu
6. Michael Ghil
7. Stéphane Hallegatte
8. Joost R. Santos

In Global and Planetary Change

1. Michael Ghil
2. Stéphane Hallegatte
3. Rafael Reuveny
4. Chang Hoon Oh

In Sociology and Political Science

1. Xue-qin Liu
2. Peijun Shi
3. Aijun Hu
4. Ning Li
5. Jidong Wu
6. Michael Ghil
7. Stéphane Hallegatte
8. Joost R. Santos

Citations in the corpus

• Complexity and the Economics of Climate Change: A Survey and a Look Forward (2017, unknown): “de Miera et al. (2008) simulated the power market solution based on Spanish data, to find that the merit order effect was stronger than the cost of renewable energy support arising from feed-in-tariffs. In Banal-Estanol and Ruperez Micola (2011), the merit order effect is not enough to lead to compe”
• Informing Climate Adaptation: A Review of the Economic Costs of Natural Disasters, Their Determinants, and Risk Reduction Options (2012, unknown): “The second challenge is that it is quite easy to double-count losses (Cochrane, 2004).”
• Regional indirect economic impact evaluation of the 2008 Wenchuan Earthquake (2011, background): “Rose (2004), Cochrane (2004), Greenberg et al. (2007), and Wu et al. (2009) have compared different methods for assessing indirect economic losses of a disaster, including Input–Output (IO) models, Computable General Equilibrium (CGE) models, and econometric models.”
• The Economics of Natural Disasters (2010, unknown): “ Moreo‐ ver, over short timescales,  local production capacity  is  likely to be highly constrained by existing capaci‐ ties, equipments and infrastructure.”
• Measuring Economic Impacts of Drought: A Review and Discussion (2011, unknown): “(Cochrane 2004, p.290).”
• Natural disasters impacting a macroeconomic model with endogenous dynamics (2008, background): “…characteristics of economic dynamics raise interesting issues about published assessments of climate change economic damages (e.g., Tol, 2002a, 2002b; Nordhaus, 2006) and of natural-disaster losses (e.g., Bockarjova et al., 2004; Cochrane, 2004; Hallegatte, 2008; Okuyama, 2004; Rose et al., 1997).”
• Economic resilience: definition and measurement (2014, background): “Many authors have discussed typologies of disaster impacts (e.g., Cochrane, 2004; Lindell and Prater, 2003; Pelling et al., 2002; Rose, 2004).”
• An Adaptive Regional Input‐Output Model and its Application to the Assessment of the Economic Cost of Katrina (2006, background): “Among the studies that have been published on the assessment of disaster economic consequences, many are based on IO models, which are powerful tools to assess how a shock on one or several sectors propagates into the economy through intermediate consumption and demand (e.g., Haimes & Jiang, 2001; B”