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Virginia Tech

Comparing Apples: Predicting the effect of public comments on administrative rules

Abstract

dc:description.abstract

This dissertation addresses three questions about administrative rulemaking: • Do comments submitted on proposed rules vary in identifiable ways? • Do these differences directly relate to the likelihood that recommendations will be associated with changes to regulations? • Can these characteristics be incorporated into a model that accurately predicts whether or not suggestions will coincide with changes to administrative rules? Using data collected from the Commonwealth of Virginia's Regulatory Town Hall, I analyze 2,534 comments that address 67 regulations proposed by state agencies during an 11-year period. I find that submissions do differ in meaningful ways. I also find statistically significant evidence that those differences are related to the probability that a requested change coincides with a subsequent modification to a rule. The principal result of this research is a model that predicts with a high degree of accuracy the outcome of participants' recommendations to alter proposed regulations. I also demonstrate the implications of these results and how failure to account for these differences undermines the legitimacy of conclusions that can be drawn from studies of notice-and-comment rulemaking. The primary contribution of this dissertation is methodological, but the empirical evidence presented here also raises questions about the value of citizen participation in notice-and-comment rulemaking in its current form. As a result, it challenges contentions that participation contributes to the democratic legitimacy of bureaucracy, serves as a safeguard against the influences of organized interests, or improves the substantive quality of administrative decisions.

Degree

thesis:*
Name thesis:degree_name
Ph. D.
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Planning, Governance, and Globalization
Department dc:contributor.department
School of Public and International Affairs
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Yavorosky, Bart Mykolas
Chair dc:contributor.committeechair
  • Stephenson, Max O. Jr.
Committee members dc:contributor.committeemember
  • Medina, Dennis Xavier
  • Luke, Timothy W.
  • Khademian, Anne M.

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:2227
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/25804

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Yavorosky, Bart Mykolas. Comparing Apples: Predicting the effect of public comments on administrative rules. doctoral thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/25804