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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.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Estimating the gender difference of employer hiring bias with a binary logit./
作者:	Best, Phillip Andrew.
面頁冊數:	59 p.
附註:	Adviser: Andrew Gill.
Contained By:	Masters Abstracts International45-05.
標題:	Economics, Labor. -
電子資源:	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.
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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.
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710 2 0 $a California State University, Fullerton. $3 1017845
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790 $a 6060
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791 $a M.A.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1442189