Date of Award:
5-2016
Document Type:
Thesis
Degree Name:
Master of Science (MS)
Department:
Economics and Finance
Committee Chair(s)
Randy T. Simmons
Committee
Randy T. Simmons
Committee
Ryan M. Yonk
Committee
Chris Fawson
Committee
Ryan Bosworth
Abstract
The objective of this thesis is to explore how government policymakers use distorted Value of a Statistical Life (VSL) calculations for their personal benefit. The VSL estimates how much a large group of citizens would jointly pay to save the life a one random person from a fatal disease. The VSL is used by government agencies like the Environmental Protection Agency. Agencies use the VSL in benefit-cost analyses to help determine potentially favorable life-saving policy from wasteful policy. Despite the well-intentioned objectiveness and decisiveness of the VSL, the political framework incentivizes miscalculated and exaggerated VSL estimates. Public choice theory addresses plausible reason as to why the decades of suggested VSL inaccuracies have not been resolved by those with political power. Public choice theory explains that policymakers are self-interested people. The general public expects political leaders, however, to become self-sacrificing public servants once elected. This thesis is an example and an explanation why those in political office employ distorted VSL calculations. Specifically, those in government agencies aim to maximize budgets and regulatory control for job security. The VSL data sources, methods of estimation, and inconsistent behavioral reference points exaggerate VSL calculations. These miscalculated or purposefully inflated VSL estimates lead to large policy implications that add to government inefficiencies and impose costs on taxpayers and businesses
Checksum
609f33afdeeb4e0dc4671fd3f4eef30d
Recommended Citation
Hunter, Alecia M., "Fear-based Policymaking: How Government Agencies Exploit Mortality Risk Perceptions" (2016). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 4885.
https://digitalcommons.usu.edu/etd/4885
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