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Yucheng Yang

Personal Details

First Name:Yucheng
Middle Name:
Last Name:Yang
Suffix:
RePEc Short-ID:pya688
[This author has chosen not to make the email address public]
https://sites.google.com/site/yangyucheng1993/home

Affiliation

Bendheim Center for Finance
Department of Economics
Princeton University

Princeton, New Jersey (United States)
http://www.princeton.edu/~bcf/
RePEc:edi:bcprius (more details at EDIRC)

Research output

as
Jump to: Working papers

Working papers

  1. Jiequn Han & Yucheng Yang & Weinan E, 2021. "DeepHAM: A Global Solution Method for Heterogeneous Agent Models with Aggregate Shocks," Papers 2112.14377, arXiv.org, revised Feb 2022.
  2. Yucheng Yang & Yue Pang & Guanhua Huang & Weinan E, 2020. "The Knowledge Graph for Macroeconomic Analysis with Alternative Big Data," Papers 2010.05172, arXiv.org.
  3. Yucheng Yang & Zhong Zheng & Weinan E, 2020. "Interpretable Neural Networks for Panel Data Analysis in Economics," Papers 2010.05311, arXiv.org, revised Nov 2020.

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

  1. Jiequn Han & Yucheng Yang & Weinan E, 2021. "DeepHAM: A Global Solution Method for Heterogeneous Agent Models with Aggregate Shocks," Papers 2112.14377, arXiv.org, revised Feb 2022.

    Cited by:

    1. Jesús Fernández-Villaverde & Joël Marbet & Galo Nuño Barrau & Omar Rachedi, 2024. "Inequality and the zero lower bound," BIS Working Papers 1160, Bank for International Settlements.
    2. 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.
    3. Mahdi Ebrahimi Kahou & James Yu & Jesse Perla & Geoff Pleiss, 2024. "How Inductive Bias in Machine Learning Aligns with Optimality in Economic Dynamics," Papers 2406.01898, arXiv.org, revised Jun 2024.

  2. Yucheng Yang & Yue Pang & Guanhua Huang & Weinan E, 2020. "The Knowledge Graph for Macroeconomic Analysis with Alternative Big Data," Papers 2010.05172, arXiv.org.

    Cited by:

    1. Sonja Tilly & Giacomo Livan, 2021. "Macroeconomic forecasting with statistically validated knowledge graphs," Papers 2104.10457, arXiv.org.

  3. Yucheng Yang & Zhong Zheng & Weinan E, 2020. "Interpretable Neural Networks for Panel Data Analysis in Economics," Papers 2010.05311, arXiv.org, revised Nov 2020.

    Cited by:

    1. Mihaela Simionescu & Adam Wojciechowski & Arkadiusz Tomczyk & Marcin Rabe, 2021. "Revised Environmental Kuznets Curve for V4 Countries and Baltic States," Energies, MDPI, vol. 14(11), pages 1-15, June.

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 3 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.
  1. NEP-BIG: Big Data (3) 2020-11-09 2020-11-09 2022-01-17. Author is listed
  2. NEP-CMP: Computational Economics (2) 2020-11-09 2022-01-17. Author is listed
  3. NEP-ECM: Econometrics (1) 2020-11-09. Author is listed
  4. NEP-HME: Heterodox Microeconomics (1) 2022-01-17. Author is listed
  5. NEP-MAC: Macroeconomics (1) 2022-01-17. Author is listed
  6. NEP-NET: Network Economics (1) 2020-11-09. Author is listed

Corrections

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