Reassessing the Resource Curse using Causal Machine Learning
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- Roland Hodler & Michael Lechner & Paul A. Raschky, 2020. "Reassessing the Resource Curse using Causal Machine Learning," SoDa Laboratories Working Paper Series 2020-01, Monash University, SoDa Laboratories.
- Hodler, Roland & Lechner, Michael & Raschky, Paul A., 2020. "Reassessing the Resource Curse using Causal Machine Learning," Economics Working Paper Series 2016, University of St. Gallen, School of Economics and Political Science.
References listed on IDEAS
- Nils B. Weidmann & Doreen Kuse & Kristian Skrede Gleditsch, 2010. "The Geography of the International System: The CShapes Dataset," International Interactions, Taylor & Francis Journals, vol. 36(1), pages 86-106, February.
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Cited by:
- Boller, Daniel & Lechner, Michael & Okasa, Gabriel, 2021.
"The Effect of Sport in Online Dating: Evidence from Causal Machine Learning,"
Economics Working Paper Series
2104, University of St. Gallen, School of Economics and Political Science.
- Daniel Boller & Michael Lechner & Gabriel Okasa, 2021. "The Effect of Sport in Online Dating: Evidence from Causal Machine Learning," Papers 2104.04601, arXiv.org.
- Boller, Daniel & Lechner, Michael & Okasa, Gabriel, 2021. "The Effect of Sport in Online Dating: Evidence from Causal Machine Learning," IZA Discussion Papers 14259, Institute of Labor Economics (IZA).
- Gabriel Okasa, 2022. "Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance," Papers 2201.12692, arXiv.org.
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More about this item
Keywords
Resource curse; Mining; Economic development; Conflict; Causal machine learning; Africa;All these keywords.
JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
- O55 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Africa
- Q34 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Natural Resources and Domestic and International Conflicts
- R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
NEP fields
This paper has been announced in the following NEP Reports:- NEP-AFR-2021-05-24 (Africa)
- NEP-BIG-2021-05-24 (Big Data)
- NEP-CMP-2021-05-24 (Computational Economics)
- NEP-GRO-2021-05-24 (Economic Growth)
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