Climate change heterogeneity: a new quantitative approach
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- Maria Dolores Gadea & Jesus Gonzalo, 2023. "Climate change heterogeneity: A new quantitative approach," Papers 2301.02648, arXiv.org.
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Cited by:
- Liang Chen & Juan J. Dolado & Jesús Gonzalo & Andrey Ramos, 2023.
"Heterogeneous predictive association of CO2 with global warming,"
Economica, London School of Economics and Political Science, vol. 90(360), pages 1397-1421, October.
- Chen, Liang & Dolado, Juan J & Gonzalo, Jesus & Ramos, Andrey, 2023. "Heterogeneous Predictive Association of CO2 with Global Warming," CEPR Discussion Papers 18114, C.E.P.R. Discussion Papers.
- Chen, Liang & Ramos Ramirez, Andrey David, 2023. "Heterogeneous Predictive Association of CO2 with Global Warming," UC3M Working papers. Economics 36451, Universidad Carlos III de Madrid. Departamento de EconomÃa.
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More about this item
Keywords
Climate Change;JEL classification:
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
NEP fields
This paper has been announced in the following NEP Reports:- NEP-AGR-2022-08-15 (Agricultural Economics)
- NEP-ENV-2022-08-15 (Environmental Economics)
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