[Statlist] Research seminar in statistics December 4th 2015, GSEM University of Geneva
Eva Cantoni
Eva.Cantoni at unige.ch
Mon Nov 30 11:51:04 CET 2015
Organisers :
E. Cantoni - D. La Vecchia - E. Ronchetti -
S. Sperlich - F. Trojani - M-P. Victoria-Feser
Friday December 4th, 2015 at 11h15 - Room M 5220, Uni Mail (40, bd du
Pont-d'Arve)
The Deterrent Effect of the Death Penalty? Evidence from British
Commutations During World War I
Daniel Chen
Institute for Advanced Studies, Toulouse School of Economics and Labor
and Worklife Program at Harvard Law School
ABSTRACT:
During World War I, the British military condemned over 3,000 soldiers
to death, but only executed 12%; the others received commuted sentences.
Many historians believe that the military command confirmed or commuted
sentences for reasons unrelated to the circumstances of a particular
case and that the application of the death penalty was essentially a
random, “pitiless lottery.”
Using a dataset on all capital cases during World War I, I statistically
investigate this claim and find that the data are consistent with an
essentially random process. Using this result, I exploit variation in
commutations and executions within military units to identify the
deterrent effect of executions, with deterrence measured by the elapsed
time within a unit between the resolution of a death sentence (i.e., a
commutation or execution) and subsequent absences within that unit.
Absences are measured via handwritten trial records and “wanted” lists
prepared by British military police units searching for deserters and
preserved in war diaries and police gazettes. I find some limited
evidence that executing deserters deterred absences, while executing
Irish soldiers, regardless of the crime, spurred absences, particularly
Irish absences. I present a model where perceived legitimacy of
authority affects why people obey the law.
Visit the website: http://www.stat-center.unige.ch/ressem.html
Karen Longden Roure
Program Coordinator
MSc. in Management, MSc. in Economics, MSc. in Statistics
Université de Genève, Uni-Mail
Faculté d'Economie & Management, GSEM
40, bd. du Pont d'Arve, 1211 Genève 4
Tél: +41.22.379.8109 (10h-14h)
--
Prof. Eva Cantoni
Research Center for Statistics and
Geneva School of Economics and Management
University of Geneva, Bd du Pont d'Arve 40, CH-1211 Genève 4
gsem.unige.ch/rcs/cantoni
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