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Details about Lina Zhang

Homepage:http://sites.google.com/view/linazhang
Workplace:Afdeling Kwantitatieve Economie (Department of Quantitative Economics), Faculteit Economie en Bedrijfskunde (Faculty of Economics and Business), Universiteit van Amsterdam (University of Amsterdam), (more information at EDIRC)

Access statistics for papers by Lina Zhang.

Last updated 2023-02-24. Update your information in the RePEc Author Service.

Short-id: pzh886

Jump to Journal Articles Software Items

Working Papers

2024

  1. Spillovers of Program Benefits with Missing Network Links
    Papers, arXiv.org Downloads

2021

  1. Weak Identification in Discrete Choice Models
    Papers, arXiv.org Downloads View citations (3)

2020

  1. Bounding Program Benefits When Participation Is Misreported
    IZA Discussion Papers, Institute of Labor Economics (IZA) Downloads View citations (9)
  2. Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects
    Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics Downloads

Journal Articles

2024

  1. Estimating treatment effects when program participation is misreported
    Stata Journal, 2024, 24, (4), 614-629 Downloads

2017

  1. Significance test in nonstationary logit panel model with serially correlated dependent variable
    Economics Letters, 2017, 159, (C), 37-41 Downloads

2016

  1. Significance test in nonstationary multinomial logit model
    Economics Letters, 2016, 143, (C), 94-98 Downloads View citations (1)

Software Items

2024

  1. IVREG2M: Stata module to identify treatment-effects estimates with potentially misreported and endogenous program participation
    Statistical Software Components, Boston College Department of Economics Downloads

2021

  1. IVBOUNDS: Stata module providing instrumental variable method to bound treatment-effects estimates with potentially misreported and endogenous program participation
    Statistical Software Components, Boston College Department of Economics Downloads
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