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. / Ph. D.
| Identifer | oai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/25804 |
| Date | 04 March 2014 |
| Creators | Yavorosky, Bart Mykolas |
| Contributors | School of Public and International Affairs, Stephenson, Max O. Jr., Medina, Dennis Xavier, Luke, Timothy W., Khademian, Anne M. |
| Publisher | Virginia Tech |
| Source Sets | Virginia Tech Theses and Dissertation |
| Detected Language | English |
| Type | Dissertation |
| Format | ETD, application/pdf, application/pdf |
| Rights | In Copyright, http://rightsstatements.org/vocab/InC/1.0/ |
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