THE ROLE OF STUDENT PERSONALITY IN SALARY EXPECTATION S AND SUBJECT CHOICE.

The present paper aims to disentangle the relation between students' personality traits, subject choice, and salary expectations. The analysis is based on a large German student sample and particularly focuses on business and economics versus pedagogy students. Controlling for a potential selection...

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Publicado en:College Student Journal Vol. 55; no. 4; pp. 399 - 413
Autores principales: KRÄFT, CHARLOTTE, URGELLES, LAURA
Formato: Artículo
Publicado: Project Innovation Austin LLC Dec2021
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Acceso en línea:Ver este registro en EBSCOhost
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          KRÄFT, CHARLOTTE
          URGELLES, LAURA
        affil: University of Paderborn
      su:
        College students
        Personality
        Wages
        Teaching
        School attendance
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          College students
          Personality
          Wages
          Teaching
          School attendance
      ab: The present paper aims to disentangle the relation between students' personality traits, subject choice, and salary expectations. The analysis is based on a large German student sample and particularly focuses on business and economics versus pedagogy students. Controlling for a potential selection bias, two Heckman selection models reveal that personality traits are a determinant for university subject selection. Yet, they are not associated with students' salary expectations. The analysis further shows that the first job contract type, as well as academic performance and gender, are amongst the determinants of students' expected salary. The results enable universities and potential employers to accurately profile applicants and give insights into the mechanism of students' salary expectation formation.
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    language: English
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      custom: Copyright of College Student Journal is the property of Project Innovation Austin LLC and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use.
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