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Yingjie Feng

Personal Details

First Name:Yingjie
Middle Name:
Last Name:Feng
Suffix:
RePEc Short-ID:pfe656
[This author has chosen not to make the email address public]
https://sites.google.com/site/yingjieum/
Terminal Degree:2019 Economics Department; University of Michigan (from RePEc Genealogy)

Affiliation

School of Economics and Management
Tsinghua University

Beijing, China
http://www.sem.tsinghua.edu.cn/
RePEc:edi:setsicn (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Matias D. Cattaneo & Yingjie Feng & Boris Shigida, 2024. "Uniform Estimation and Inference for Nonparametric Partitioning-Based M-Estimators," Papers 2409.05715, arXiv.org.
  2. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2024. "Nonlinear Binscatter Methods," Papers 2407.15276, arXiv.org.
  3. Yingjie Feng, 2023. "Optimal Estimation of Large-Dimensional Nonlinear Factor Models," Papers 2311.07243, arXiv.org.
  4. Matias D. Cattaneo & Yingjie Feng & Filippo Palomba & Rocio Titiunik, 2022. "Uncertainty Quantification in Synthetic Controls with Staggered Treatment Adoption," Papers 2210.05026, arXiv.org, revised Feb 2025.
  5. Matias D. Cattaneo & Yingjie Feng & Filippo Palomba & Rocio Titiunik, 2022. "scpi: Uncertainty Quantification for Synthetic Control Methods," Papers 2202.05984, arXiv.org, revised Oct 2022.
  6. Yingjie Feng, 2020. "Causal Inference in Possibly Nonlinear Factor Models," Papers 2008.13651, arXiv.org, revised Oct 2021.
  7. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2019. "On Binscatter," Papers 1902.09608, arXiv.org, revised Apr 2024.
    • Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2024. "On Binscatter," American Economic Review, American Economic Association, vol. 114(5), pages 1488-1514, May.
  8. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2019. "Binscatter Regressions," Papers 1902.09615, arXiv.org, revised Jul 2024.
  9. Matias D. Cattaneo & Max H. Farrell & Yingjie Feng, 2019. "lspartition: Partitioning-Based Least Squares Regression," Papers 1906.00202, arXiv.org, revised Aug 2019.
  10. Matias D. Cattaneo & Yingjie Feng & Rocio Titiunik, 2019. "Prediction Intervals for Synthetic Control Methods," Papers 1912.07120, arXiv.org, revised Sep 2021.
  11. Matias D. Cattaneo & Max H. Farrell & Yingjie Feng, 2018. "Large Sample Properties of Partitioning-Based Series Estimators," Papers 1804.04916, arXiv.org, revised Jun 2019.

Articles

  1. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2025. "Binscatter regressions," Stata Journal, StataCorp LLC, vol. 25(1), pages 3-50, March.
    • Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2019. "Binscatter Regressions," Papers 1902.09615, arXiv.org, revised Jul 2024.
  2. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2024. "On Binscatter," American Economic Review, American Economic Association, vol. 114(5), pages 1488-1514, May.
  3. Matias D. Cattaneo & Yingjie Feng & William G. Underwood, 2024. "Uniform Inference for Kernel Density Estimators with Dyadic Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 119(548), pages 2695-2708, October.
  4. Matias D. Cattaneo & Yingjie Feng & Rocio Titiunik, 2021. "Prediction Intervals for Synthetic Control Methods," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1865-1880, October.

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. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2024. "Nonlinear Binscatter Methods," Papers 2407.15276, arXiv.org.

    Cited by:

    1. Crump, Richard K. & Eusepi, Stefano & Giannoni, Marc & Şahin, Ayşegül, 2024. "The unemployment–inflation trade-off revisited: The Phillips curve in COVID times," Journal of Monetary Economics, Elsevier, vol. 145(S).

  2. Matias D. Cattaneo & Yingjie Feng & Filippo Palomba & Rocio Titiunik, 2022. "scpi: Uncertainty Quantification for Synthetic Control Methods," Papers 2202.05984, arXiv.org, revised Oct 2022.

    Cited by:

    1. Manuel Funke & Moritz Schularick & Christoph Trebesch, 2023. "Populist Leaders and the Economy," American Economic Review, American Economic Association, vol. 113(12), pages 3249-3288, December.
    2. Carrillo-Maldonado, Paul & Arias, Karla & Zanoni, Wladimir & Cruz, Zoe, 2024. "Local socioeconomic impacts of large-scale mining projects in Ecuador: The case of Fruta del Norte," Resources Policy, Elsevier, vol. 89(C).
    3. Matias D. Cattaneo & Yingjie Feng & Filippo Palomba & Rocio Titiunik, 2022. "Uncertainty Quantification in Synthetic Controls with Staggered Treatment Adoption," Papers 2210.05026, arXiv.org, revised Feb 2025.
    4. Ursula Münch & Armin Nassehi & Joe Kaeser & Knut Bergmann & Matthias Diermeier & Florian Dorn & David Gstrein & Florian Neumeier & Manuel Funke & Moritz Schularick & Christoph Trebesch & Kerim Peren A, 2024. "Wohlstand in Gefahr? Ursachen und Folgen von Populismus," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 77(03), pages 03-32, March.
    5. Woo-Mora, L. Guillermo, 2025. "Populism’s original sin: Short-term populist penalties and uncertainty traps," European Economic Review, Elsevier, vol. 172(C).

  3. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2019. "Binscatter Regressions," Papers 1902.09615, arXiv.org, revised Jul 2024.

    Cited by:

    1. Stefano Eusepi & Giorgio Topa & Andrea Tambalotti & Richard Crump, 2016. "Subjective Intertemporal Substitution," 2016 Meeting Papers 83, Society for Economic Dynamics.
    2. Evan Starr & Brent Goldfarb, 2020. "Binned scatterplots: A simple tool to make research easier and better," Strategic Management Journal, Wiley Blackwell, vol. 41(12), pages 2261-2274, December.
    3. Raphael Brade, 2024. "Short-Term Events, Long-Term Friends? Freshman Orientation Peers and Academic Performance," CESifo Working Paper Series 11046, CESifo.

  4. Matias D. Cattaneo & Max H. Farrell & Yingjie Feng, 2019. "lspartition: Partitioning-Based Least Squares Regression," Papers 1906.00202, arXiv.org, revised Aug 2019.

    Cited by:

    1. Yechan Park & Yuya Sasaki, 2024. "Matching $\leq$ Hybrid $\leq$ Difference in Differences," Papers 2411.07952, arXiv.org, revised Feb 2025.

  5. Matias D. Cattaneo & Yingjie Feng & Rocio Titiunik, 2019. "Prediction Intervals for Synthetic Control Methods," Papers 1912.07120, arXiv.org, revised Sep 2021.

    Cited by:

    1. Masahiro Kato & Akari Ohda, 2023. "Asymptotically Unbiased Synthetic Control Methods by Density Matching," Papers 2307.11127, arXiv.org, revised Feb 2025.
    2. Nuno Garoupa & Rok Spruk, 2024. "Populist Constitutional Backsliding and Judicial Independence: Evidence from Turkiye," Papers 2410.02439, arXiv.org.
    3. Manuel Funke & Moritz Schularick & Christoph Trebesch, 2023. "Populist Leaders and the Economy," American Economic Review, American Economic Association, vol. 113(12), pages 3249-3288, December.
    4. Carrillo-Maldonado, Paul & Arias, Karla & Zanoni, Wladimir & Cruz, Zoe, 2024. "Local socioeconomic impacts of large-scale mining projects in Ecuador: The case of Fruta del Norte," Resources Policy, Elsevier, vol. 89(C).
    5. Kraynak,Daniel Christopher & Timilsina,Govinda R. & Alberini,Anna, 2024. "The Effect of Pricing Instruments on CO2 Emissions: Empirical Evidence from Australia," Policy Research Working Paper Series 10812, The World Bank.
    6. Dennis Shen & Peng Ding & Jasjeet Sekhon & Bin Yu, 2022. "Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data," Papers 2207.14481, arXiv.org, revised Oct 2022.
    7. Matias D. Cattaneo & Yingjie Feng & Filippo Palomba & Rocio Titiunik, 2022. "Uncertainty Quantification in Synthetic Controls with Staggered Treatment Adoption," Papers 2210.05026, arXiv.org, revised Feb 2025.
    8. Ursula Münch & Armin Nassehi & Joe Kaeser & Knut Bergmann & Matthias Diermeier & Florian Dorn & David Gstrein & Florian Neumeier & Manuel Funke & Moritz Schularick & Christoph Trebesch & Kerim Peren A, 2024. "Wohlstand in Gefahr? Ursachen und Folgen von Populismus," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 77(03), pages 03-32, March.
    9. Roy Cerqueti & Raffaella Coppier & Alessandro Girardi & Marco Ventura, 2022. "The sooner the better: lives saved by the lockdown during the COVID-19 outbreak. The case of Italy," Post-Print hal-03789141, HAL.
    10. David Gilchrist & Thomas Emery & Nuno Garoupa & Rok Spruk, 2023. "Synthetic Control Method: A tool for comparative case studies in economic history," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 409-445, April.
    11. Priscila Espinosa & Daniel Aparicio-Pérez & Emili Tortosa-Ausina, 2023. "On the Impact of Next Generation EU Funds: A Regional Synthetic Control Method Approach," Working Papers 2023/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    12. Ben Deaner & Chen-Wei Hsiang & Andrei Zeleneev, 2025. "Inferring Treatment Effects in Large Panels by Uncovering Latent Similarities," Papers 2503.20769, arXiv.org, revised Mar 2025.
    13. Joe Maganga Zonda & Chang-Ching Lin & Ming-Jen Chang, 2024. "On the economic costs of political instabilities: a tale of sub-Saharan Africa," Empirical Economics, Springer, vol. 66(1), pages 137-173, January.
    14. Li, Xingyu & Shen, Yan & Zhou, Qiankun, 2024. "Confidence intervals of treatment effects in panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 240(1).
    15. Ivo Teruggi & Oscar Eduardo Barriga Cabanillas & Walker Kosmidou-Bradley & Silvia Redaelli & Eigo Tateishi, 2024. "Afghanistan’s New Economic Landscape : Using Nighttime Lights to Understand the Civilian Economy after 2021," Policy Research Working Paper Series 10969, The World Bank.
    16. Piergiuseppe Fortunato & Tanmay Singh & Marco Pecoraro, 2024. "From Rhetoric to Reality: How Ideology, History and Geography shape Populism's Economic Footprint," IRENE Working Papers 24-02, IRENE Institute of Economic Research.
    17. Zanoni, Wladimir & Díaz, Emily & Paredes, Jorge & Andrian, Leandro Gaston & Maldonado, Juan Lorenzo, 2024. "Emerging Markets Bond Index Performance and Sovereign Default: The Case of Ecuador," IDB Publications (Working Papers) 13432, Inter-American Development Bank.
    18. Emery Thomas J. & Kovac Mitja & Spruk Rok, 2023. "Estimating the Effects of Political Instability in Nascent Democracies," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 243(6), pages 599-642, December.
    19. Woo-Mora, L. Guillermo, 2025. "Populism’s original sin: Short-term populist penalties and uncertainty traps," European Economic Review, Elsevier, vol. 172(C).
    20. Guillaume Allaire Pouliot & Zhen Xie, 2022. "Degrees of Freedom and Information Criteria for the Synthetic Control Method," Papers 2207.02943, arXiv.org.
    21. Matias D. Cattaneo & Yingjie Feng & Filippo Palomba & Rocio Titiunik, 2022. "scpi: Uncertainty Quantification for Synthetic Control Methods," Papers 2202.05984, arXiv.org, revised Oct 2022.
    22. Wei Tian & Seojeong Lee & Valentyn Panchenko, 2023. "Synthetic Controls with Multiple Outcomes," Papers 2304.02272, arXiv.org, revised Jul 2024.
    23. Dmitry Arkhangelsky & Aleksei Samkov, 2024. "Sequential Synthetic Difference in Differences," Papers 2404.00164, arXiv.org.
    24. Zongwu Cai & Ying Fang & Ming Lin & Zixuan Wu, 2023. "A Quasi Synthetic Control Method for Nonlinear Models With High-Dimensional Covariates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202305, University of Kansas, Department of Economics, revised Aug 2023.
    25. Guido W. Imbens & Davide Viviano, 2023. "Identification and Inference for Synthetic Controls with Confounding," Papers 2312.00955, arXiv.org.
    26. David M. Ritzwoller & Joseph P. Romano & Azeem M. Shaikh, 2024. "Randomization Inference: Theory and Applications," Papers 2406.09521, arXiv.org, revised Feb 2025.

  6. Matias D. Cattaneo & Max H. Farrell & Yingjie Feng, 2018. "Large Sample Properties of Partitioning-Based Series Estimators," Papers 1804.04916, arXiv.org, revised Jun 2019.

    Cited by:

    1. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2025. "Binscatter regressions," Stata Journal, StataCorp LLC, vol. 25(1), pages 3-50, March.
      • Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2019. "Binscatter Regressions," Papers 1902.09615, arXiv.org, revised Jul 2024.
    2. Byunghoon Kang, 2019. "Inference in Nonparametric Series Estimation with Specification Searches for the Number of Series Terms," Papers 1909.12162, arXiv.org, revised Feb 2020.
    3. Zheng Fang & Juwon Seo, 2019. "A Projection Framework for Testing Shape Restrictions That Form Convex Cones," Papers 1910.07689, arXiv.org, revised Sep 2021.
    4. Butts, Kyle, 2023. "JUE Insight: Difference-in-differences with geocoded microdata," Journal of Urban Economics, Elsevier, vol. 133(C).

Articles

  1. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2025. "Binscatter regressions," Stata Journal, StataCorp LLC, vol. 25(1), pages 3-50, March.
    • Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2019. "Binscatter Regressions," Papers 1902.09615, arXiv.org, revised Jul 2024.
    See citations under working paper version above.
  2. Matias D. Cattaneo & Yingjie Feng & Rocio Titiunik, 2021. "Prediction Intervals for Synthetic Control Methods," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1865-1880, October.
    See citations under working paper version above.Sorry, no citations of articles recorded.

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 9 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-ECM: Econometrics (7) 2018-04-23 2019-03-04 2020-09-21 2022-11-14 2023-12-18 2024-08-26 2024-10-07. Author is listed
  2. NEP-BAN: Banking (1) 2022-04-11
  3. NEP-BIG: Big Data (1) 2019-03-11
  4. NEP-ETS: Econometric Time Series (1) 2023-12-18

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