Text as data in environmental economics and policy
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- Endre Tvinnereim & Kjersti Fløttum, 2015. "Explaining topic prevalence in answers to open-ended survey questions about climate change," Nature Climate Change, Nature, vol. 5(8), pages 744-747, August.
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- Constantine Boussalis & Travis G. Coan & Mirya R. Holman, 2018. "Climate change communication from cities in the USA," Climatic Change, Springer, vol. 149(2), pages 173-187, July.
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- Ivan Savin & Stefan Drews & Sara Maestre-Andrés & Jeroen Bergh, 2020. "Public views on carbon taxation and its fairness: a computational-linguistics analysis," Climatic Change, Springer, vol. 162(4), pages 2107-2138, October.
- Song, Yingjie & Ji, Qiang & Du, Ya-Juan & Geng, Jiang-Bo, 2019. "The dynamic dependence of fossil energy, investor sentiment and renewable energy stock markets," Energy Economics, Elsevier, vol. 84(C).
- Ralf Barkemeyer & Suraje Dessai & Beatriz Monge-Sanz & Barbara Gabriella Renzi & Giulio Napolitano, 2016. "Linguistic analysis of IPCC summaries for policymakers and associated coverage," Nature Climate Change, Nature, vol. 6(3), pages 311-316, March.
- Lauderdale, Benjamin E. & Herzog, Alexander, 2016. "Measuring Political Positions from Legislative Speech," Political Analysis, Cambridge University Press, vol. 24(3), pages 374-394, July.
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JEL classification:
- C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
- Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
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