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A Monte Carlo based cost-benefit ana...

McWilliam, Andrew G.

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A Monte Carlo based cost-benefit analysis of preemployment screening for marijuana use.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Monte Carlo based cost-benefit analysis of preemployment screening for marijuana use./
Author:	McWilliam, Andrew G.
Description:	97 p.
Notes:	Source: Dissertation Abstracts International, Volume: 64-11, Section: A, page: 4135.
Contained By:	Dissertation Abstracts International64-11A.
Subject:	Economics, General. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3111106

A Monte Carlo based cost-benefit analysis of preemployment screening for marijuana use.
McWilliam, Andrew G.

A Monte Carlo based cost-benefit analysis of preemployment screening for marijuana use. - 97 p.

Source: Dissertation Abstracts International, Volume: 64-11, Section: A, page: 4135.

Thesis (Ph.D.)--University of Washington, 2003.

By one estimate, over 50% of American workplaces test their workers for drugs; and because larger companies are more likely to test, an even larger percentage of American workers must submit to testing. Despite its prevalence, academic research on the effectiveness of drug testing is limited to two studies of U.S. postal workers.Subjects--Topical Terms:

1017424
Economics, General.

A Monte Carlo based cost-benefit analysis of preemployment screening for marijuana use.
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100 1 $a McWilliam, Andrew G. $3 1953278
245 1 2 $a A Monte Carlo based cost-benefit analysis of preemployment screening for marijuana use.
300 $a 97 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-11, Section: A, page: 4135.
500 $a Chair: Carolyn Watts.
502 $a Thesis (Ph.D.)--University of Washington, 2003.
520 $a By one estimate, over 50% of American workplaces test their workers for drugs; and because larger companies are more likely to test, an even larger percentage of American workers must submit to testing. Despite its prevalence, academic research on the effectiveness of drug testing is limited to two studies of U.S. postal workers.
520 $a Though few firms have been willing to expose their screening programs to public scrutiny, Monte Carlo Simulation offers an independent path for studying drug testing's cost-effectiveness. Using estimates of the prevalence of drug use in different populations, the cost and accuracy of testing, and estimates of the relationship between drug use and workplace productivity, I simulate outcomes from a range of hypothetical screening programs.
520 $a Simulation of Zwerling et al.'s (1992) study of postal workers confirms their finding that preemployment drug testing would be highly cost-beneficial in such a workplace. However, this result depends critically on the size of program being considered, and the prevalence of drug use in the population of applicants. At smaller businesses, and in workplaces with better educated employees (who are less likely to use drugs), I find the costs of preemployment drug screening programs will most likely exceed the benefits.
590 $a School code: 0250.
650 4 $a Economics, General. $3 1017424
650 4 $a Health Sciences, Public Health. $3 1017659
650 4 $a Health Sciences, Occupational Health and Safety. $3 1017799
690 $a 0501
690 $a 0573
690 $a 0354
710 2 0 $a University of Washington. $3 545923
773 0 $t Dissertation Abstracts International $g 64-11A.
790 1 0 $a Watts, Carolyn, $e advisor
790 $a 0250
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3111106