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Xin Liu

Personal Details

First Name:Xin
Middle Name:
Last Name:Liu
Suffix:
RePEc Short-ID:pli1438
[This author has chosen not to make the email address public]
https://xinliu16.github.io/
Terminal Degree:2021 Economics Department; University of Missouri (from RePEc Genealogy)

Affiliation

School of Economic Sciences
Washington State University

Pullman, Washington (United States)
http://www.ses.wsu.edu/
RePEc:edi:ecwsuus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. David M. Kaplan & Xin Liu, 2024. "Finite-Sample Inference on Auction Bid Distributions Using Transaction Prices," Working Papers 2403, Department of Economics, University of Missouri.
  2. Xin Liu, 2024. "A quantile-based nonadditive fixed effects model," Papers 2405.03826, arXiv.org.
  3. David M. Kaplan & Xin Liu, 2023. "Confidence Intervals for Intentionally Biased Estimators," Working Papers 2308, Department of Economics, University of Missouri.
  4. David M. Kaplan & Xin Liu, 2021. "k-Class Instrumental Variables Quantile Regression," Working Papers 2104, Department of Economics, University of Missouri.
  5. Xin Liu, 2019. "Averaging estimation for instrumental variables quantile regression," Papers 1910.04245, arXiv.org.
  6. Liu, Xin & Zhu, Lei & Zhang, Xiao-Bing & Hennlock, Magnus, 2017. "Self-Enforcing International Environmental Agreements: The Role of Climate Tipping," EfD Discussion Paper 17-12, Environment for Development, University of Gothenburg.
  7. Luciano de Castro & Antonio F. Galvao & David M. Kaplan & Xin Liu, 2017. "Smoothed GMM for quantile models," Papers 1707.03436, arXiv.org, revised Feb 2018.

Articles

  1. David M. Kaplan & Xin Liu, 2024. "Confidence intervals for intentionally biased estimators," Econometric Reviews, Taylor & Francis Journals, vol. 43(2-4), pages 197-214, April.
  2. Xin Liu, 2024. "Averaging Estimation for Instrumental Variables Quantile Regression," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(5), pages 1290-1312, October.
  3. David M. Kaplan & Xin Liu, 2024. "k-Class instrumental variables quantile regression," Empirical Economics, Springer, vol. 67(1), pages 111-141, July.
  4. de Castro, Luciano & Galvao, Antonio F. & Kaplan, David M. & Liu, Xin, 2019. "Smoothed GMM for quantile models," Journal of Econometrics, Elsevier, vol. 213(1), pages 121-144.

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. Luciano de Castro & Antonio F. Galvao & David M. Kaplan & Xin Liu, 2017. "Smoothed GMM for quantile models," Papers 1707.03436, arXiv.org, revised Feb 2018.

    Cited by:

    1. de Castro, Luciano & Cundy, Lance D. & Galvao, Antonio F. & Westenberger, Rafael, 2023. "A dynamic quantile model for distinguishing intertemporal substitution from risk aversion," European Economic Review, Elsevier, vol. 159(C).
    2. Koki Fusejima, 2020. "Identification of multi-valued treatment effects with unobserved heterogeneity," Papers 2010.04385, arXiv.org, revised Apr 2023.
    3. David M. Kaplan & Xin Liu, 2024. "k-Class instrumental variables quantile regression," Empirical Economics, Springer, vol. 67(1), pages 111-141, July.
    4. David M. Kaplan, 2023. "Smoothed instrumental variables quantile regression," Papers 2310.09013, arXiv.org.
    5. Xin Liu, 2019. "Averaging estimation for instrumental variables quantile regression," Working Papers 1907, Department of Economics, University of Missouri.
    6. He, Xuming & Pan, Xiaoou & Tan, Kean Ming & Zhou, Wen-Xin, 2023. "Smoothed quantile regression with large-scale inference," Journal of Econometrics, Elsevier, vol. 232(2), pages 367-388.
    7. Christophe Muller, 2019. "Linear Quantile Regression and Endogeneity Correction," AMSE Working Papers 1920, Aix-Marseille School of Economics, France.
    8. Javier Alejo & Antonio F Galvao & Gabriel Montes-Rojas, 2023. "A first-stage representation for instrumental variables quantile regression," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 350-377.
    9. Firpo, Sergio & Galvao, Antonio F. & Pinto, Cristine & Poirier, Alexandre & Sanroman, Graciela, 2022. "GMM quantile regression," Journal of Econometrics, Elsevier, vol. 230(2), pages 432-452.
    10. David Powell, 2022. "Quantile regression with nonadditive fixed effects," Empirical Economics, Springer, vol. 63(5), pages 2675-2691, November.
    11. Kaido, Hiroaki & Wüthrich, Kaspar, 2021. "Decentralization estimators for instrumental variable quantile regression models," University of California at San Diego, Economics Working Paper Series qt362921wv, Department of Economics, UC San Diego.
    12. de Castro, Luciano & Galvao, Antonio F. & Montes-Rojas, Gabriel, 2020. "Quantile selection in non-linear GMM quantile models," Economics Letters, Elsevier, vol. 195(C).
    13. Grigory Franguridi & Bulat Gafarov & Kaspar Wuthrich, 2020. "Bias correction for quantile regression estimators," Papers 2011.03073, arXiv.org, revised Jan 2024.
    14. de Castro, Luciano I. & Galvao, Antonio F. & Nunes, Daniel da Siva, 0. "Dynamic economics with quantile preferences," Theoretical Economics, Econometric Society.
    15. Fusejima, Koki, 2024. "Identification of multi-valued treatment effects with unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 238(1).
    16. Javier Alejo & Gabriel Montes-Rojas, 2021. "Quantile Regression under Limited Dependent Variable," Papers 2112.06822, arXiv.org.
    17. Di Liu, 2024. "Instrumental-variables quantile regression," French Stata Users' Group Meetings 2024 07, Stata Users Group.
    18. Javier Alejo & Antonio F. Galvao & Gabriel Montes-Rojas, 2020. "A first-stage test for instrumental variables quantile regression," Asociación Argentina de Economía Política: Working Papers 4304, Asociación Argentina de Economía Política.

Articles

  1. de Castro, Luciano & Galvao, Antonio F. & Kaplan, David M. & Liu, Xin, 2019. "Smoothed GMM for quantile models," Journal of Econometrics, Elsevier, vol. 213(1), pages 121-144.
    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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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 7 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 (6) 2018-03-05 2019-10-14 2021-06-14 2023-07-10 2024-06-10 2024-06-10. Author is listed
  2. NEP-UPT: Utility Models and Prospect Theory (2) 2018-03-05 2018-03-26. Author is listed
  3. NEP-COM: Industrial Competition (1) 2024-06-10
  4. NEP-DCM: Discrete Choice Models (1) 2024-06-10
  5. NEP-MFD: Microfinance (1) 2023-07-10
  6. NEP-ORE: Operations Research (1) 2019-10-14

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