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Estimating the gender difference of ...

California State University, Fullerton.

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Estimating the gender difference of employer hiring bias with a binary logit.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Estimating the gender difference of employer hiring bias with a binary logit./
Author:	Best, Phillip Andrew.
Description:	59 p.
Notes:	Adviser: Andrew Gill.
Contained By:	Masters Abstracts International45-05.
Subject:	Economics, Labor. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1442189

Estimating the gender difference of employer hiring bias with a binary logit.
Best, Phillip Andrew.

Estimating the gender difference of employer hiring bias with a binary logit. - 59 p.

Adviser: Andrew Gill.

Thesis (M.A.)--California State University, Fullerton, 2007.

Using data from the 1996 wave National Longitudinal Study of Youth, a logit model is estimated to evaluate the effect that gender has on occupational attainment conditional on stated occupational preference. Using explanatory variables that represent a worker's ability and productivity, I find no evidence of gender hiring bias using data pooled across occupational categories. However, there is evidence of employer hiring bias against females in the Managers and Administrators category and in the Crafts occupational category. On the other hand, in the Social Science category and Sales and Clerical occupational category, there is evidence of employer hiring bias that leans towards hiring females. There is no gender difference in the attainment of desired occupation found in the categories of the Hard Sciences, Operatives, and the Labor and Services.Subjects--Topical Terms:

1019135
Economics, Labor.

Estimating the gender difference of employer hiring bias with a binary logit.
LDR:01672nam 2200253 a 45 001 856200
005 20100708
008 100708s2007 eng d
035 $a (UMI)AAI1442189
035 $a AAI1442189
040 $a UMI $c UMI
100 1 $a Best, Phillip Andrew. $3 1022973
245 1 0 $a Estimating the gender difference of employer hiring bias with a binary logit.
300 $a 59 p.
500 $a Adviser: Andrew Gill.
500 $a Source: Masters Abstracts International, Volume: 45-05, page: 2239.
502 $a Thesis (M.A.)--California State University, Fullerton, 2007.
520 $a Using data from the 1996 wave National Longitudinal Study of Youth, a logit model is estimated to evaluate the effect that gender has on occupational attainment conditional on stated occupational preference. Using explanatory variables that represent a worker's ability and productivity, I find no evidence of gender hiring bias using data pooled across occupational categories. However, there is evidence of employer hiring bias against females in the Managers and Administrators category and in the Crafts occupational category. On the other hand, in the Social Science category and Sales and Clerical occupational category, there is evidence of employer hiring bias that leans towards hiring females. There is no gender difference in the attainment of desired occupation found in the categories of the Hard Sciences, Operatives, and the Labor and Services.
590 $a School code: 6060.
650 4 $a Economics, Labor. $3 1019135
690 $a 0510
710 2 0 $a California State University, Fullerton. $3 1017845
773 0 $t Masters Abstracts International $g 45-05.
790 $a 6060
790 1 0 $a Gill, Andrew, $e advisor
791 $a M.A.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1442189