vcemway: A one-stop solution for robust inference with multi-way clustering

Gu, A.; Yoo, H.I.

Abstract

Most Stata commands allow cluster(varname) or vce(cluster clustvar) as an option, popularizing the use of standard errors that are robust to oneway clustering. For adjusting standard errors for multiway clustering, there is no solution that is as widely applicable. While several community-contributed packages support multiway clustering, each package is compatible only with a subset of models that Stata’s ever-expanding library of commands allows the researcher to fit. We introduce a command, vcemway, that provides a one-stop solution for multiway clustering. vcemway works with any estimation command that allows cluster(varname) as an option, and it adjusts standard errors, individual significance statistics, and confidence intervals in output tables for multiway clustering in specified dimensions. The covariance matrix used in making this adjustment is stored in e(V), meaning that any subsequent call to postestimation commands that use e(V) as input (for example, test and margins) will also produce results that are robust to multiway clustering.

Citation

Gu, A., & Yoo, H. (2019). vcemway: A one-stop solution for robust inference with multi-way clustering. The Stata Journal, 19(4), 900-912

• Journal Article Type: Article
• Acceptance Date: Jun 27, 2019
• Online Publication Date: Dec 18, 2019
• Publication Date: Dec 1, 2019
• Deposit Date: Jun 27, 2019
• Publicly Available Date: Jun 28, 2019
• Journal: The Stata Journal
• Print ISSN: 1536-867X
• Electronic ISSN: 1536-8734
• Publisher: SAGE Publications
• Peer Reviewed: Peer Reviewed
• Volume: 19
• Issue: 4
• Pages: 900-912
• Public URL: https://durham-repository.worktribe.com/output/1327862