Nathan Ratledge
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First Name: | Nathan |
Middle Name: | |
Last Name: | Ratledge |
Suffix: | |
RePEc Short-ID: | pra974 |
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Affiliation
(50%) Stanford - Emmett Interdisciplinary Program in Environment and Resource
https://pangea.stanford.edu/eiperStanford, CA
(50%) Resources for the Future (RFF)
Washington, District of Columbia (United States)http://www.rff.org/
RePEc:edi:rffffus (more details at EDIRC)
Research output
Jump to: Working papers ArticlesWorking papers
- Nathan Ratledge & Gabe Cadamuro & Brandon de la Cuesta & Matthieu Stigler & Marshall Burke, 2021.
"Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access,"
Papers
2109.02890, arXiv.org.
- Nathan Ratledge & Gabriel Cadamuro & Brandon De la Cuesta & Matthieu Stigler & Marshall Burke, 2021. "Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access," NBER Working Papers 29237, National Bureau of Economic Research, Inc.
Articles
- Nathan Ratledge & Laura Zachary & Chase Huntley, 2022. "Emissions from fossil fuels produced on US federal lands and waters present opportunities for climate mitigation," Climatic Change, Springer, vol. 171(1), pages 1-8, March.
- Nathan Ratledge & Gabe Cadamuro & Brandon Cuesta & Matthieu Stigler & Marshall Burke, 2022. "Using machine learning to assess the livelihood impact of electricity access," Nature, Nature, vol. 611(7936), pages 491-495, November.
- Nathan Ratledge, 2022. "Enhance climate technology deployment in the Global South," Nature Climate Change, Nature, vol. 12(9), pages 771-772, September.
- Nathan Ratledge & Steven J. Davis & Laura Zachary, 2019. "Public lands fly under climate radar," Nature Climate Change, Nature, vol. 9(2), pages 92-93, February.
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Working papers
- Nathan Ratledge & Gabe Cadamuro & Brandon de la Cuesta & Matthieu Stigler & Marshall Burke, 2021.
"Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access,"
Papers
2109.02890, arXiv.org.
- Nathan Ratledge & Gabriel Cadamuro & Brandon De la Cuesta & Matthieu Stigler & Marshall Burke, 2021. "Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access," NBER Working Papers 29237, National Bureau of Economic Research, Inc.
Cited by:
- Martina Jakob & Sebastian Heinrich, 2023. "Measuring Human Capital with Social Media Data and Machine Learning," University of Bern Social Sciences Working Papers 46, University of Bern, Department of Social Sciences.
Articles
- Nathan Ratledge & Laura Zachary & Chase Huntley, 2022.
"Emissions from fossil fuels produced on US federal lands and waters present opportunities for climate mitigation,"
Climatic Change, Springer, vol. 171(1), pages 1-8, March.
Cited by:
- Ghulam Ghouse & Aribah Aslam & Muhammad Ishaq Bhatti, 2022. "The Impact of the Environment, Digital–Social Inclusion, and Institutions on Inclusive Growth: A Conceptual and Empirical Analysis," Energies, MDPI, vol. 15(19), pages 1-19, September.
- Nathan Ratledge & Gabe Cadamuro & Brandon Cuesta & Matthieu Stigler & Marshall Burke, 2022.
"Using machine learning to assess the livelihood impact of electricity access,"
Nature, Nature, vol. 611(7936), pages 491-495, November.
Cited by:
- Woollacott, Jared & Henry, Candise L. & de Hernández, Alison Bean & DiVenanzo, Lauren & Oliveira, Horacio & Cai, Yongxia & Larson, Justin, 2023. "Quantifying the local economic supply chain impacts of renewable energy investment in Kenya," Energy Economics, Elsevier, vol. 125(C).
- Florian Egli & Churchill Agutu & Bjarne Steffen & Tobias S. Schmidt, 2023. "The cost of electrifying all households in 40 Sub-Saharan African countries by 2030," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
- Li, Kuanhong & Wang, Linping & Wang, Lianhui, 2024. "Consumption as the catalyst: Analyzing rural power infrastructure and agricultural growth through panel threshold regression and data-driven prediction," Applied Energy, Elsevier, vol. 365(C).
- Weiqi Li & Yinghui Wen & Kaichao Wang & Zihan Ding & Lingfeng Wang & Qianming Chen & Liang Xie & Hao Xu & Hang Zhao, 2024. "Developing a machine learning model for accurate nucleoside hydrogels prediction based on descriptors," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
- Nathan Ratledge & Steven J. Davis & Laura Zachary, 2019.
"Public lands fly under climate radar,"
Nature Climate Change, Nature, vol. 9(2), pages 92-93, February.
Cited by:
- Taylor, David D.J. & Layurova, Mariya & Vogel, David S. & Slocum, Alexander H., 2019. "Black into green: A BIG opportunity for North Dakota’s oil and gas producers," Applied Energy, Elsevier, vol. 242(C), pages 1189-1197.
More information
Research fields, statistics, top rankings, if available.Statistics
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NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.- NEP-BIG: Big Data (2) 2021-09-20 2021-09-27. Author is listed
- NEP-CMP: Computational Economics (2) 2021-09-20 2021-09-27. Author is listed
- NEP-ENE: Energy Economics (2) 2021-09-20 2021-09-27. Author is listed
- NEP-ISF: Islamic Finance (2) 2021-09-20 2021-09-27. Author is listed
- NEP-URE: Urban and Real Estate Economics (1) 2021-09-27. Author is listed
Corrections
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