An Adversarial Approach to Structural Estimation
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DOI: 10.3982/ECTA18707
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References listed on IDEAS
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- Jesús Fernández-Villaverde & Galo Nuño & Jesse Perla, 2024.
"Taming the Curse of Dimensionality: Quantitative Economics with Deep Learning,"
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- Jesús Fernández-Villaverde & Galo Nuno & Jesse Perla, 2024. "Taming the Curse of Dimensionality:Quantitative Economics with Deep Learning," PIER Working Paper Archive 24-034, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Jesús Fernández-Villaverde & Galo Nuño & Jesse Perla, 2024. "Taming the curse of dimensionality: quantitative economics with deep learning," Working Papers 2444, Banco de España.
- Jésus Fernández-Villaverde & Galo Nuño & Jesse Perla & Jesús Fernández-Villaverde, 2024. "Taming the Curse of Dimensionality: Quantitative Economics with Deep Learning," CESifo Working Paper Series 11448, CESifo.
- Jean-Jacques Forneron & Zhongjun Qu, 2024. "Fitting Dynamically Misspecified Models: An Optimal Transportation Approach," Papers 2412.20204, arXiv.org.
- Irene Botosaru & Isaac Loh & Chris Muris, 2024. "An Adversarial Approach to Identification," Papers 2411.04239, arXiv.org, revised Dec 2024.
- Harold D. Chiang, 2025. "Maximal Inequalities for Separately Exchangeable Empirical Processes," Papers 2502.11432, arXiv.org, revised Mar 2025.
- Yanhao & Wei & Zhenling Jiang, 2025. "Estimating Parameters of Structural Models Using Neural Networks," Papers 2502.04945, arXiv.org.
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