Regression standard errors in clustered samples
- Authors
- William H. Rogers
- Journal
- Stata technical bulletin
In The Last Decade
doi.org/w9900337 →Countries where authors are citing Regression standard errors in clustered samples
This map shows the geographic impact of Regression standard errors in clustered samples. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Regression standard errors in clustered samples with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Regression standard errors in clustered samples more than expected).
Fields of papers citing Regression standard errors in clustered samples
This network shows the impact of Regression standard errors in clustered samples. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Regression standard errors in clustered samples.
About Regression standard errors in clustered samples
This paper, published in 1993, received 2.3k indexed citations . Written by William H. Rogers. It is primarily cited by scholars working on Accounting (819 citations), Economics and Econometrics (511 citations) and Finance (457 citations). Published in Stata technical bulletin.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
This paper is also available at doi.org/w9900337.