Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/320302 
Year of Publication: 
2024
Citation: 
[Journal:] Quantitative Economics [ISSN:] 1759-7331 [Volume:] 15 [Issue:] 2 [Year:] 2024 [Pages:] 245-277
Publisher: 
The Econometric Society, New Haven, CT
Abstract: 
Our confidence set quantifies the statistical uncertainty from data-driven group assignments in grouped panel models. It covers the true group memberships jointly for all units with pre-specified probability and is constructed by inverting many simultaneous unit-specific one-sided tests for group membership. We justify our approach under N, T Ç É asymptotics using tools from highdimensional statistics, some of which we extend in this paper. We provide Monte Carlo evidence that the confidence set has adequate coverage in finite samples. An empirical application illustrates the use of our confidence set.
Subjects: 
Panel data
clustering set
joint one-sided test
high-dimensionalstatistics
JEL: 
C23
C33
C38
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc Logo
Document Type: 
Article

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