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Lina Zhang

Personal Details

First Name:Lina
Middle Name:
Last Name:Zhang
Suffix:
RePEc Short-ID:pzh886
[This author has chosen not to make the email address public]
http://sites.google.com/view/linazhang

Affiliation

Afdeling Kwantitatieve Economie
Faculteit Economie en Bedrijfskunde
Universiteit van Amsterdam

Amsterdam, Netherlands
http://www.uva.nl/over-de-uva/organisatie/organogram/content/faculteiten/faculteit-economie-en-bedrijfskunde/afdeling-kwantitatieve-economie-ke/afdeling-kwantitatieve-economie-ke.html
RePEc:edi:keuvanl (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. Tommasi, Denni & Zhang, Lina, 2020. "Bounding Program Benefits When Participation Is Misreported," IZA Discussion Papers 13430, Institute of Labor Economics (IZA).
  2. Lina Zhang & David T. Frazier & Don S. Poskitt & Xueyan Zhao, 2020. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Monash Econometrics and Business Statistics Working Papers 34/20, Monash University, Department of Econometrics and Business Statistics.
  3. David T. Frazier & Eric Renault & Lina Zhang & Xueyan Zhao, 2020. "Weak Identification in Discrete Choice Models," Papers 2011.06753, arXiv.org, revised Jan 2021.
  4. Lina Zhang, 2020. "Spillovers of Program Benefits with Missing Network Links," Papers 2009.09614, arXiv.org, revised Aug 2024.

Articles

  1. Chu, Chia-Shang J. & Liu, Nan & Zhang, Lina, 2017. "Significance test in nonstationary logit panel model with serially correlated dependent variable," Economics Letters, Elsevier, vol. 159(C), pages 37-41.
  2. Chu, Chia-Shang J. & Liu, Nan & Zhang, Lina, 2016. "Significance test in nonstationary multinomial logit model," Economics Letters, Elsevier, vol. 143(C), pages 94-98.

Software components

  1. Christopher F Baum & Denni Tommasi & Lina Zhang, 2022. "IVREG2M: Stata module to identify treatment-effects estimates with potentially misreported and endogenous program participation," Statistical Software Components S459093, Boston College Department of Economics, revised 04 Jun 2024.
  2. Andy Lin & Denni Tommasi & Lina Zhang, 2021. "IVBOUNDS: Stata module providing instrumental variable method to bound treatment-effects estimates with potentially misreported and endogenous program participation," Statistical Software Components S458967, Boston College Department of Economics.

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. Tommasi, Denni & Zhang, Lina, 2020. "Bounding Program Benefits When Participation Is Misreported," IZA Discussion Papers 13430, Institute of Labor Economics (IZA).

    Cited by:

    1. Acerenza, Santiago & Ban, Kyunghoon & Kedagni, Desire, 2021. "Marginal Treatment Effects with Misclassified Treatment," ISU General Staff Papers 202106180700001132, Iowa State University, Department of Economics.
    2. Santiago Acerenza & Kyunghoon Ban & D'esir'e K'edagni, 2021. "Local Average and Marginal Treatment Effects with a Misclassified Treatment," Papers 2105.00358, arXiv.org, revised Sep 2024.
    3. Akanksha Negi & Digvijay Singh Negi, 2022. "Difference-in-Differences with a Misclassified Treatment," Papers 2208.02412, arXiv.org.
    4. Ha Trong Nguyen & Le, Huong Thu & Blyth, Christopher & Connelly, Luke & Mitrou, Francis, 2024. "Identifying the effects of health insurance coverage on health care use when coverage is misreported and endogenous," GLO Discussion Paper Series 1432, Global Labor Organization (GLO).
    5. Didier Nibbering & Matthijs Oosterveen, 2023. "Instrument-based estimation of full treatment effects with movers," Papers 2306.07018, arXiv.org.
    6. Lina Zhang & David T. Frazier & D. S. Poskitt & Xueyan Zhao, 2020. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Papers 2009.02642, arXiv.org, revised Sep 2022.
    7. Evan S. Totty & Thor Watson, 2024. "Privacy Protection and Accuracy: What Do We Know? Do We Know Things?? Let's Find Out!," NBER Chapters, in: Data Privacy Protection and the Conduct of Applied Research: Methods, Approaches and their Consequences, National Bureau of Economic Research, Inc.
    8. Augustine Denteh & D'esir'e K'edagni, 2022. "Misclassification in Difference-in-differences Models," Papers 2207.11890, arXiv.org, revised Jul 2022.
    9. Santiago Acerenza, 2024. "Partial Identification of Marginal Treatment Effects with Discrete Instruments and Misreported Treatment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(1), pages 74-100, February.
    10. Vitor Possebom, 2021. "Crime and Mismeasured Punishment: Marginal Treatment Effect with Misclassification," Papers 2106.00536, arXiv.org, revised Jul 2023.

  2. David T. Frazier & Eric Renault & Lina Zhang & Xueyan Zhao, 2020. "Weak Identification in Discrete Choice Models," Papers 2011.06753, arXiv.org, revised Jan 2021.

    Cited by:

    1. Antoine, Bertille & Renault, Eric, 2024. "GMM with Nearly-Weak Identification," Econometrics and Statistics, Elsevier, vol. 30(C), pages 36-59.
    2. Lina Zhang & David T. Frazier & D. S. Poskitt & Xueyan Zhao, 2020. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Papers 2009.02642, arXiv.org, revised Sep 2022.
    3. Dakyung Seong, 2022. "Binary response model with many weak instruments," Papers 2201.04811, arXiv.org, revised Jun 2024.

Articles

  1. Chu, Chia-Shang J. & Liu, Nan & Zhang, Lina, 2016. "Significance test in nonstationary multinomial logit model," Economics Letters, Elsevier, vol. 143(C), pages 94-98.

    Cited by:

    1. Chu, Chia-Shang J. & Liu, Nan & Zhang, Lina, 2017. "Significance test in nonstationary logit panel model with serially correlated dependent variable," Economics Letters, Elsevier, vol. 159(C), pages 37-41.

Software components

    Sorry, no citations of software components recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 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-ECM: Econometrics (2) 2020-10-26 2020-11-30. Author is listed
  2. NEP-DCM: Discrete Choice Models (1) 2020-11-30. Author is listed
  3. NEP-IAS: Insurance Economics (1) 2020-10-26. Author is listed
  4. NEP-NET: Network Economics (1) 2020-10-26. Author is listed
  5. NEP-ORE: Operations Research (1) 2020-08-31. Author is listed

Corrections

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