Local Climate Sensitivity: A Statistical Approach for a Spatially Heterogeneous Planet
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References listed on IDEAS
- Yoosoon Chang & Robert K. Kaufmann & Chang Sik Kim & J. Isaac Miller & Joon Y. Park & Sungkeun Park, 2015. "Time Series Analysis of Global Temperature Distributions: Identifying and Estimating Persistent Features in Temperature Anomalies," Working Papers 1513, Department of Economics, University of Missouri, revised 25 Jul 2016.
- Robert Kaufmann & Heikki Kauppi & Michael Mann & James Stock, 2013. "Does temperature contain a stochastic trend: linking statistical results to physical mechanisms," Climatic Change, Springer, vol. 118(3), pages 729-743, June.
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More about this item
Keywordslocal climate sensitivity; energy balance model; historical temperature anomaly distributions; partially linear semiparametric model;
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-AGR-2017-02-12 (Agricultural Economics)
- NEP-ALL-2017-02-12 (All new papers)
- NEP-ENE-2017-02-12 (Energy Economics)
- NEP-ENV-2017-02-12 (Environmental Economics)
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