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, Netherlandshttp://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
Jump to: Working papers Articles SoftwareWorking papers
- Tommasi, Denni & Zhang, Lina, 2020.
"Bounding Program Benefits When Participation Is Misreported,"
IZA Discussion Papers
13430, Institute of Labor Economics (IZA).
- Tommasi, Denni & Zhang, Lina, 2024. "Bounding program benefits when participation is misreported," Journal of Econometrics, Elsevier, vol. 238(1).
- Denni Tommasi & Lina Zhang, 2020. "Bounding Program Benefits When Participation is Misreported," Monash Econometrics and Business Statistics Working Papers 24/20, Monash University, Department of Econometrics and Business Statistics.
- 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.
- Lina Zhang & David T. Frazier & Don S. Poskitt & Xueyan Zhao, 2021. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Monash Econometrics and Business Statistics Working Papers 21/21, Monash University, Department of Econometrics and Business Statistics.
- 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.
- David T. Frazier & Eric Renault & Lina Zhang & Xueyan Zhao, 2020.
"Weak Identification in Discrete Choice Models,"
Papers
2011.06753, arXiv.org, revised Jan 2021.
- Frazier, David T. & Renault, Eric & Zhang, Lina & Zhao, Xueyan, 2021. "Weak Identification in Discrete Choice Models," The Warwick Economics Research Paper Series (TWERPS) 1336, University of Warwick, Department of Economics.
- Lina Zhang, 2020. "Spillovers of Program Benefits with Missing Network Links," Papers 2009.09614, arXiv.org, revised Apr 2023.
Articles
- 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.
- 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
- 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.
- 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
- Tommasi, Denni & Zhang, Lina, 2020.
"Bounding Program Benefits When Participation Is Misreported,"
IZA Discussion Papers
13430, Institute of Labor Economics (IZA).
- Tommasi, Denni & Zhang, Lina, 2024. "Bounding program benefits when participation is misreported," Journal of Econometrics, Elsevier, vol. 238(1).
- Denni Tommasi & Lina Zhang, 2020. "Bounding Program Benefits When Participation is Misreported," Monash Econometrics and Business Statistics Working Papers 24/20, Monash University, Department of Econometrics and Business Statistics.
Cited by:
- Acerenza, Santiago & Ban, Kyunghoon & Kedagni, Desire, 2021.
"Marginal Treatment Effects with Misclassified Treatment,"
ISU General Staff Papers
202106180700001132, Iowa State University, Department of Economics.
- Santiago Acerenza & Kyunghoon Ban & D'esir'e K'edagni, 2021. "Marginal Treatment Effects with a Misclassified Treatment," Papers 2105.00358, arXiv.org, revised Apr 2023.
- Akanksha Negi & Digvijay Singh Negi, 2022. "Difference-in-Differences with a Misclassified Treatment," Papers 2208.02412, arXiv.org.
- Didier Nibbering & Matthijs Oosterveen, 2023. "Instrument-based estimation of full treatment effects with movers," Papers 2306.07018, arXiv.org.
- 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.
- 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.
- Lina Zhang & David T. Frazier & Don S. Poskitt & Xueyan Zhao, 2021. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Monash Econometrics and Business Statistics Working Papers 21/21, Monash University, Department of Econometrics and Business Statistics.
- Augustine Denteh & D'esir'e K'edagni, 2022. "Misclassification in Difference-in-differences Models," Papers 2207.11890, arXiv.org, revised Jul 2022.
- Vitor Possebom, 2021. "Crime and Mismeasured Punishment: Marginal Treatment Effect with Misclassification," Papers 2106.00536, arXiv.org, revised Jul 2023.
- Santiago Acerenza, 2021. "Partial Identification of Marginal Treatment Effects with discrete instruments and misreported treatment," Papers 2110.06285, arXiv.org, revised Mar 2023.
- David T. Frazier & Eric Renault & Lina Zhang & Xueyan Zhao, 2020.
"Weak Identification in Discrete Choice Models,"
Papers
2011.06753, arXiv.org, revised Jan 2021.
- Frazier, David T. & Renault, Eric & Zhang, Lina & Zhao, Xueyan, 2021. "Weak Identification in Discrete Choice Models," The Warwick Economics Research Paper Series (TWERPS) 1336, University of Warwick, Department of Economics.
Cited by:
- 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.
- 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.
- Lina Zhang & David T. Frazier & Don S. Poskitt & Xueyan Zhao, 2021. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Monash Econometrics and Business Statistics Working Papers 21/21, Monash University, Department of Econometrics and Business Statistics.
- Dakyung Seong, 2022. "Binary response model with many weak instruments," Papers 2201.04811, arXiv.org, revised May 2023.
Articles
- 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:
- 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.- NEP-ECM: Econometrics (2) 2020-10-26 2020-11-30. Author is listed
- NEP-DCM: Discrete Choice Models (1) 2020-11-30. Author is listed
- NEP-IAS: Insurance Economics (1) 2020-10-26. Author is listed
- NEP-NET: Network Economics (1) 2020-10-26. Author is listed
- NEP-ORE: Operations Research (1) 2020-08-31. Author is listed
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.
To update listings or check citations waiting for approval, Lina Zhang should log into the RePEc Author Service.
To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.
To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.
Please note that most corrections can take a couple of weeks to filter through the various RePEc services.