東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

The Impact of Grades on College Majo...

Wang, Ray Li.

FindBook

Google Book

Amazon

博客來

The Impact of Grades on College Major Choice, Dropout, and Labor Outcomes.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The Impact of Grades on College Major Choice, Dropout, and Labor Outcomes./
作者:	Wang, Ray Li.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	92 p.
附註:	Source: Dissertations Abstracts International, Volume: 82-01, Section: A.
Contained By:	Dissertations Abstracts International82-01A.
標題:	Economics. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27956646
ISBN:	9798617073616

The Impact of Grades on College Major Choice, Dropout, and Labor Outcomes.
Wang, Ray Li.

The Impact of Grades on College Major Choice, Dropout, and Labor Outcomes. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 92 p.

Source: Dissertations Abstracts International, Volume: 82-01, Section: A.

Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2020.

This item must not be sold to any third party vendors.

I develop a dynamic model of education and labor supply decisions that seeks to explain student demand elasiticities to the grading standards in their courses, and the high rate of dropout from STEM majors. The positive correlation in the data between wages and terminal GPA suggests that firms offer a wage premium to students with higher grades, even after controlling for major. College students consider these returns to grades when making education decisions: dropout or major switching can be induced by grade shocks. I estimate a structural model using the NLSY97, and find that a difference in grades by 1.0 GPA points can impact the net present value of a college degree by as much as 20 percent at the time of graduation. If STEM and non-STEM course grading standards were adjusted to be in line with each other, there would be a 4.7 percent increase in the total number of STEM major graduates, a comparable effect to a $2,200 STEM tuition subsidy. Finally, a key observation of the model is that due to imperfect sorting across majors and occupations, large changes in the number of STEM degrees translate into smaller changes in the number of STEM workers.

ISBN: 9798617073616Subjects--Topical Terms:

517137
Economics.
Subjects--Index Terms:

Economics of Education

The Impact of Grades on College Major Choice, Dropout, and Labor Outcomes.
LDR:02294nmm a2200349 4500 001 2278536
005 20210628082343.5
008 220723s2020 ||||||||||||||||| ||eng d
020 $a 9798617073616
035 $a (MiAaPQ)AAI27956646
035 $a AAI27956646
040 $a MiAaPQ $c MiAaPQ
100 1 $a Wang, Ray Li. $3 3556915
245 1 4 $a The Impact of Grades on College Major Choice, Dropout, and Labor Outcomes.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 92 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-01, Section: A.
500 $a Advisor: Flabbi, Luca.
502 $a Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a I develop a dynamic model of education and labor supply decisions that seeks to explain student demand elasiticities to the grading standards in their courses, and the high rate of dropout from STEM majors. The positive correlation in the data between wages and terminal GPA suggests that firms offer a wage premium to students with higher grades, even after controlling for major. College students consider these returns to grades when making education decisions: dropout or major switching can be induced by grade shocks. I estimate a structural model using the NLSY97, and find that a difference in grades by 1.0 GPA points can impact the net present value of a college degree by as much as 20 percent at the time of graduation. If STEM and non-STEM course grading standards were adjusted to be in line with each other, there would be a 4.7 percent increase in the total number of STEM major graduates, a comparable effect to a $2,200 STEM tuition subsidy. Finally, a key observation of the model is that due to imperfect sorting across majors and occupations, large changes in the number of STEM degrees translate into smaller changes in the number of STEM workers.
590 $a School code: 0153.
650 4 $a Economics. $3 517137
650 4 $a Higher education. $3 641065
650 4 $a Labor economics. $3 642730
653 $a Economics of Education
653 $a Labor economics
653 $a Occupational choice
690 $a 0501
690 $a 0745
690 $a 0510
710 2 $a The University of North Carolina at Chapel Hill. $b Economics. $3 1022423
773 0 $t Dissertations Abstracts International $g 82-01A.
790 $a 0153
791 $a Ph.D.
792 $a 2020
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27956646