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Three Essays in the Economics of Education.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Three Essays in the Economics of Education./
Author:	Islam, Md. Ohiul.
Description:	1 online resource (185 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 84-01, Section: A.
Contained By:	Dissertations Abstracts International84-01A.
Subject:	Demography. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29208365click for full text (PQDT)
ISBN:	9798834078340

Three Essays in the Economics of Education.
Islam, Md. Ohiul.

Three Essays in the Economics of Education. - 1 online resource (185 pages)

Source: Dissertations Abstracts International, Volume: 84-01, Section: A.

Thesis (Ph.D.)--Western Michigan University, 2022.

Includes bibliographical references

This dissertation explores three distinct topics in the economics of education. These topics explore the relationship between race, gender, national origin, and educational and labor market outcomes. Educational attainment in the STEM (Science, Technology, Engineering, and Mathematics) areas receives a major focus in this dissertation; a college-level specialization in STEM areas generally leads to high income-yielding career tracks. Below I briefly explain the research objectives and findings of each chapter.The first chapter focuses on the impact of teacher-student demographic mismatch on student success in classrooms at the high school level. When students, particularly disadvantaged, are assigned to teachers with different racial and/or gender identities, they may become subject to the "Golem effect", which is lower expectations and biases the teachers may have about them. In this paper, using restricted-access data from the High School Longitudinal Survey of 2009 (HSLS:09), I investigate whether demographic mismatch between teachers and students in high schools has a negative impact on achievement. I find consistent evidence that having a different-sex teacher is disadvantageous for students of all racial backgrounds. Having a different-sex and different-race teacher is associated with achievement loss, especially for Black female students. The second chapter focuses on the impact of parental occupation in STEM fields on the child's selection of a STEM major at the post-secondary level. For empirical analysis, I use data from HSLS:09 again. The economic literature suggests that parents' occupational identities can influence children's selection into different fields of major through different channels. Parents may provide positive feedback on the educational decisions of children at multiple stages throughout the children's school life. I find that having at least one parent in the fields of computer science and engineering positively impacts the child's selection into college majors in computer science and IT and Engineering. Moreover, I find that in two-parent households, both the mother's and father's occupations in STEM positively impact the child's selection into STEM college major sections.The third chapter examines the historical positive wage gap between U.S. natives and international college graduates in STEM and non-STEM fields participating in the U.S. labor force. I show that between 1993 and 2019, in STEM occupations, naturalized citizens and permanent residents earned on average higher than U.S. natives; temporary workers consistently earned less on average than U.S. natives, and permanent residents consistently earned more on average than temporary workers. The evidence shows that the wage gap is not just due to differences in factors such as primary activities on the job, highest degree attained, and working in STEM fields, but also because of "unexplained" factors; one of them could be the labor market laws restricting the entry of foreign-born workers into the U.S. labor market. In a panel data analysis, I find that the effect of change in immigration status resulting in naturalization and permanent residency positively impacts mean wage.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798834078340Subjects--Topical Terms:

614991
Demography.
Subjects--Index Terms:

College majorIndex Terms--Genre/Form:

542853
Electronic books.

Three Essays in the Economics of Education.
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500 $a Source: Dissertations Abstracts International, Volume: 84-01, Section: A.
500 $a Advisor: Kimmel, Jean.
502 $a Thesis (Ph.D.)--Western Michigan University, 2022.
504 $a Includes bibliographical references
520 $a This dissertation explores three distinct topics in the economics of education. These topics explore the relationship between race, gender, national origin, and educational and labor market outcomes. Educational attainment in the STEM (Science, Technology, Engineering, and Mathematics) areas receives a major focus in this dissertation; a college-level specialization in STEM areas generally leads to high income-yielding career tracks. Below I briefly explain the research objectives and findings of each chapter.The first chapter focuses on the impact of teacher-student demographic mismatch on student success in classrooms at the high school level. When students, particularly disadvantaged, are assigned to teachers with different racial and/or gender identities, they may become subject to the "Golem effect", which is lower expectations and biases the teachers may have about them. In this paper, using restricted-access data from the High School Longitudinal Survey of 2009 (HSLS:09), I investigate whether demographic mismatch between teachers and students in high schools has a negative impact on achievement. I find consistent evidence that having a different-sex teacher is disadvantageous for students of all racial backgrounds. Having a different-sex and different-race teacher is associated with achievement loss, especially for Black female students. The second chapter focuses on the impact of parental occupation in STEM fields on the child's selection of a STEM major at the post-secondary level. For empirical analysis, I use data from HSLS:09 again. The economic literature suggests that parents' occupational identities can influence children's selection into different fields of major through different channels. Parents may provide positive feedback on the educational decisions of children at multiple stages throughout the children's school life. I find that having at least one parent in the fields of computer science and engineering positively impacts the child's selection into college majors in computer science and IT and Engineering. Moreover, I find that in two-parent households, both the mother's and father's occupations in STEM positively impact the child's selection into STEM college major sections.The third chapter examines the historical positive wage gap between U.S. natives and international college graduates in STEM and non-STEM fields participating in the U.S. labor force. I show that between 1993 and 2019, in STEM occupations, naturalized citizens and permanent residents earned on average higher than U.S. natives; temporary workers consistently earned less on average than U.S. natives, and permanent residents consistently earned more on average than temporary workers. The evidence shows that the wage gap is not just due to differences in factors such as primary activities on the job, highest degree attained, and working in STEM fields, but also because of "unexplained" factors; one of them could be the labor market laws restricting the entry of foreign-born workers into the U.S. labor market. In a panel data analysis, I find that the effect of change in immigration status resulting in naturalization and permanent residency positively impacts mean wage.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Demography. $3 614991
650 4 $a Education. $3 516579
653 $a College major
653 $a Labor market
653 $a STEM
653 $a STEM major
653 $a Wages
655 7 $a Electronic books. $2 lcsh $3 542853
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710 2 $a Western Michigan University. $b Applied Economics. $3 3694247
773 0 $t Dissertations Abstracts International $g 84-01A.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29208365 $z click for full text (PQDT)