JASA
Matrix Completion When Missing Is Not at Random and Its Applications in Causal Panel Data Models
Authors
Jungjun Choi
Ming Yuan
Research Topics
Causal Inference
Econometrics
Paper Information
-
Journal:
Journal of the American Statistical Association -
Added to Tracker:
Jul 16, 2025
Author Details
Jungjun Choi
AuthorMing Yuan
AuthorResearch Topics & Keywords
Causal Inference
Research AreaEconometrics
Research AreaCitation Information
APA Format
Jungjun Choi
&
Ming Yuan
.
Matrix Completion When Missing Is Not at Random and Its Applications in Causal Panel Data Models.
Journal of the American Statistical Association
.
BibTeX Format
@article{paper382,
title = { Matrix Completion When Missing Is Not at Random and Its Applications in Causal Panel Data Models },
author = {
Jungjun Choi
and Ming Yuan
},
journal = { Journal of the American Statistical Association },
url = { https://www.tandfonline.com/doi/full/10.1080/01621459.2024.2380105 }
}