Sexual harassment in the workplace
By: Kaushik Basu
Contributors: Massachusetts Institute of Technology. Dept. of Economics
Series: Working paper series / Massachusetts Institute of Technology, Dept. of Economics -- working paper 02-11; Working paper (Massachusetts Institute of Technology. Dept. of Economics) -- no. 02-11.
Publisher: Massachusetts Institute of Technology, Dept. of Economics
Published: 2002
Place of publication: Cambridge, MA
Language: eng
Number of pages: 43
Other titles: economic analysis with implications for worker rights and labor standards policy
Description: Suppose a firm has a widespread reputation for sexually harassing its workers (or it follows the practice of telling workers that if they wish to work for the firm they must be prepared for sexual harassment). When a worker offers to work for such a firm and is accepted, there is, therefore, a Pareto improvement. Is there a case for banning such "contractual" sexual harassment? This paper argues that the answer is yes, and that we can be both Paretian and ask for a ban. A general principle, called the large-numbers argument, is developed to justify this and it is shown that there are other areas, such as occupational safety where this principle can be applied. That is, there may be a case for preventing firms from exposing its workers to excessive hazards even when each worker finds the pay attractive enough to want to submit to this. Hence, this argument provides a general principle for deciding which market transactions ought to be banned as obnoxious, instead of relying on ad hoc judgments. The paper goes on to discuss how our sexual harassment laws ought to be reformed so as to be more receptive to the needs of society. Keywords: Sexual Harassment, occupational safety, discrimination, labor standards. JEL Classification: J30, J78, D00.
Notes: "February 2002."; "February 7, 2002"--Abstract.

Includes bibliographical references (p. 40-43).

Abstract in HTML and working paper for download in PDF available via World Wide Web at the Social Science Research Network.