Geography and macroeconomics: new data and new findings.
By William Nordhaus. Proceedings of the National Academy of Sciences of the United States of America, 2006
855 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/c712c6d2c8a1ddcd6452408d34391ed94531d111
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In Economics and Econometrics
- Richard S. J. Tol
- Delavane Diaz
- Solomon Hsiang
- Matthias Kalkuhl
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- Esteban Rossi-Hansberg
- Gary W. Yohe
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Citations in the corpus
- THE ECONOMICS OF HURRICANES AND IMPLICATIONS OF GLOBAL WARMING (2010, methodology): “6The methodology and data as well as selected relationships are contained in Nordhaus (2006).”
- Assessing dangerous climate change through an update of the Intergovernmental Panel on Climate Change (IPCC) “reasons for concern” (2009, background): “In addition, different analytic techniques (21) result in estimates of higher net damages, and inclusion of indirect effects can increase the magnitude of impacts (22, 23).”
- Temperature and the Allocation of Time: Implications for Climate Change (2014, neutral): “…help to shed light on the microfoundations for the macroeconomic literature that has focused on climate and economic growth ðSachs and Warner 1997; Nordhaus 2006; Dell, Jones, and Olken 2012Þ.3 The absence of data suitable for identification at climatic scales makes findings based on weather…”
- The impact of climate vulnerability on firms’ cost of capital and access to finance (2021, background): “Several studies have investigated the relationship between global climate change and economic performance at the country-level (e.g., Dell, Jones, & Olken, 2014; Nordhaus, 2006).”
- Carbon footprints of 13 000 cities (2018, methodology): “Per-city GDP (gross domestic product; note this is also sometimes called gross regional product when calculated for subnational regions) was calculated by applying the GHS-SMOD city boundaries to the G-Econ 4.0 (Nordhaus 2006) global gridded model of GDP.”
- Using luminosity data as a proxy for economic statistics (2011, background): “The lack of good regional data has been even more daunting for researchers working at the subnational level, for example in the geographically based economic data (G-Econ) project at Yale University, which has undertaken the construction of geophysically based data on gross output for grid cells mea”
- It’s the Local Economy, Stupid! Geographic Wealth Dispersion and Conflict Outbreak Location (2011, methodology): “The G-Econ data set developed by Nordhaus (2006) records economic output per 1 1 degree grid cell on a global basis for 1990, converted into common metrics including purchasing power parity (PPP) exchange rates.”
- The Economic Geography of Global Warming (2021, methodology): “To estimate the effect of temperature on productivity, we follow Nordhaus (2006) and include a number of geographic attributes as cell-level covariates, Z ( r ) .”
- The global distribution and burden of dengue (2013, neutral): “India19,20 alone contributed 34% (33 [24-44] million infections) of the global total.”
- A social cost of carbon for (almost) every country (2019, methodology): “Other estimates are based on regressions of economic indicators on climate (Mendelsohn et al., 2000, Nordhaus, 2006, Maddison, 2003, Rehdanz and Maddison, 2005, Maddison and Rehdanz, 2011, Mendelsohn et al., 2000).”