The Value of Statistical Life: Pursuing the Deadliest Catch

Observed tradeoffs between monetary returns and fatality risk identify estimates of the value of a statistical life (VSL), inform public policy and quantity preferences for environmental quality, health and safety. To date, few investigations have estimated the VSL associated with tradeoffs between...

Full description

Bibliographic Details
Main Authors: Schnier, Kurt E., Horrace, William C., Felthoven, Ronald G.
Format: Text
Language:English
Published: SURFACE at Syracuse University 2009
Subjects:
Online Access:https://surface.syr.edu/cpr/49
https://surface.syr.edu/context/cpr/article/1048/viewcontent/wp117.pdf
id ftsyracuseuniv:oai:surface.syr.edu:cpr-1048
record_format openpolar
spelling ftsyracuseuniv:oai:surface.syr.edu:cpr-1048 2024-09-15T18:32:14+00:00 The Value of Statistical Life: Pursuing the Deadliest Catch Schnier, Kurt E. Horrace, William C. Felthoven, Ronald G. 2009-01-01T08:00:00Z application/pdf https://surface.syr.edu/cpr/49 https://surface.syr.edu/context/cpr/article/1048/viewcontent/wp117.pdf English eng SURFACE at Syracuse University https://surface.syr.edu/cpr/49 https://surface.syr.edu/context/cpr/article/1048/viewcontent/wp117.pdf http://creativecommons.org/licenses/by/4.0/ Center for Policy Research value of statistical life (VSL) intra-agent VSL comparison Alaskan crab fisheries Statistics and Probability text 2009 ftsyracuseuniv 2024-08-09T03:26:01Z Observed tradeoffs between monetary returns and fatality risk identify estimates of the value of a statistical life (VSL), inform public policy and quantity preferences for environmental quality, health and safety. To date, few investigations have estimated the VSL associated with tradeoffs between returns from natural resource extraction activities and the fatality risks they involve. Furthermore researchers have been unable to determine whether or not one's VSL is stable across multiple decision environments using revealed preference methods. Understanding these tradeoffs (and the VSL that they imply) may be used to inform resource management policy and safety regulations, as well as our general understanding of the value of life. By modeling a commercial fishing captain's choice to fish or not, conditional on the observed risk, this research investigates these topics using data from the Alaskan red king crab and snow crab fisheries. Using weather conditions and policy variables as instruments, our estimates of the mean VSL range from $4.00 to $4.67M (depending on the modeling assumption and fishery analyzed) and are robust to the incorporation of heterogeneous preferences. Furthermore, given the unique nature of the data we are able to conduct an intra-vessel comparison of the VSL and conclude that for roughly 92% of the fishermen observed in the data set their VSL estimates are stable across both fisheries. Text Red king crab Snow crab Syracuse University Research Facility And Collaborative Environment (SUrface)
institution Open Polar
collection Syracuse University Research Facility And Collaborative Environment (SUrface)
op_collection_id ftsyracuseuniv
language English
topic value of statistical life (VSL)
intra-agent VSL comparison
Alaskan crab fisheries
Statistics and Probability
spellingShingle value of statistical life (VSL)
intra-agent VSL comparison
Alaskan crab fisheries
Statistics and Probability
Schnier, Kurt E.
Horrace, William C.
Felthoven, Ronald G.
The Value of Statistical Life: Pursuing the Deadliest Catch
topic_facet value of statistical life (VSL)
intra-agent VSL comparison
Alaskan crab fisheries
Statistics and Probability
description Observed tradeoffs between monetary returns and fatality risk identify estimates of the value of a statistical life (VSL), inform public policy and quantity preferences for environmental quality, health and safety. To date, few investigations have estimated the VSL associated with tradeoffs between returns from natural resource extraction activities and the fatality risks they involve. Furthermore researchers have been unable to determine whether or not one's VSL is stable across multiple decision environments using revealed preference methods. Understanding these tradeoffs (and the VSL that they imply) may be used to inform resource management policy and safety regulations, as well as our general understanding of the value of life. By modeling a commercial fishing captain's choice to fish or not, conditional on the observed risk, this research investigates these topics using data from the Alaskan red king crab and snow crab fisheries. Using weather conditions and policy variables as instruments, our estimates of the mean VSL range from $4.00 to $4.67M (depending on the modeling assumption and fishery analyzed) and are robust to the incorporation of heterogeneous preferences. Furthermore, given the unique nature of the data we are able to conduct an intra-vessel comparison of the VSL and conclude that for roughly 92% of the fishermen observed in the data set their VSL estimates are stable across both fisheries.
format Text
author Schnier, Kurt E.
Horrace, William C.
Felthoven, Ronald G.
author_facet Schnier, Kurt E.
Horrace, William C.
Felthoven, Ronald G.
author_sort Schnier, Kurt E.
title The Value of Statistical Life: Pursuing the Deadliest Catch
title_short The Value of Statistical Life: Pursuing the Deadliest Catch
title_full The Value of Statistical Life: Pursuing the Deadliest Catch
title_fullStr The Value of Statistical Life: Pursuing the Deadliest Catch
title_full_unstemmed The Value of Statistical Life: Pursuing the Deadliest Catch
title_sort value of statistical life: pursuing the deadliest catch
publisher SURFACE at Syracuse University
publishDate 2009
url https://surface.syr.edu/cpr/49
https://surface.syr.edu/context/cpr/article/1048/viewcontent/wp117.pdf
genre Red king crab
Snow crab
genre_facet Red king crab
Snow crab
op_source Center for Policy Research
op_relation https://surface.syr.edu/cpr/49
https://surface.syr.edu/context/cpr/article/1048/viewcontent/wp117.pdf
op_rights http://creativecommons.org/licenses/by/4.0/
_version_ 1810473975243866112