Publication Type
Conference Paper
Version
Postprint
Publication Date
8-2018
Abstract
This paper introduces an automated methodology for empirical legal analysis using data on ∼27,000 domain name disputes decided under the Uniform Domain Names Dispute Resolution Policy. Using the methodology, I examine whether characteristics of adjudicating panels affect who wins such disputes. Controls for legal factors are synthesised by applying text mining to pre-processed decision texts. L1-penalised logistic regression is then used for estimation. Significance tests are conducted using post-selection inference methods. I find that panellist identity and size does not significantly affect dispute outcomes. Further, the synthesised controls are effective proxies for legal factors, suggesting that the methodology can be applied to other legal fields.
Keywords
Empirical Legal Analysis, Text Mining
Discipline
Dispute Resolution and Arbitration | Public Law and Legal Theory
Research Areas
Legal Theory, Ethics and Legal Education
Publication
Asian Law and Economics Association Conference 14th AsLEA 2018, August 16-17
First Page
1
Last Page
34
City or Country
Singapore
Citation
SOH, Jerrold.
Towards a general framework for empirical legal analysis: In domain name disputes, do panelists matter?. (2018). Asian Law and Economics Association Conference 14th AsLEA 2018, August 16-17. 1-34.
Available at: https://ink.library.smu.edu.sg/sol_research_smu/93
Copyright Owner and License
Author
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.