A SAS macro for estimation and inference in differences-in-differences applications with within cluster correlation and cluster-corrections for a few clusters
Nicolas Moreau
Working Papers from HAL
Abstract:
This paper presents a SAS macro written for estimation and inference in differences-indifferences applications with clustering. Cluster robust variance estimators for within-group error correlation are implemented. Finite cluster-corrections for a few clusters are also performed.
Date: 2018-01-24
Note: View the original document on HAL open archive server: https://hal.science/hal-01691476
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://hal.science/hal-01691476/document (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-01691476
Access Statistics for this paper
More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD (hal@ccsd.cnrs.fr).