Decision tree for investigating the factors affecting graduate salaries

Yung Fu Cheng, Ying Shao Hsu

Research output: Contribution to journalArticle

Abstract

In recent years, the rapid expansion of higher education has led to a surge in competitive pressure in the education market and has increased the excess in university-educated labor supply. Thus, the salary of graduates is a major societal issue. Over the past two decades, a number of studies have explored the factors that positively affect graduate salaries, and have constructed a complete theoretical scheme. Our studies explored these factors by analyzing data from the Taiwan Education Panel Survey and Taiwan Education Panel Survey and Beyond, which together comprise 1,303 variables. The following three types of model were investigated: the initial model, workplace model, and change model. Data mining for the three models was conducted using a regression tree, a type of decision tree method for analyzing big data. The major findings of this research are described as follows: (1) Three variables, educational level, firm size, and academic achievement, were selected in the initial model. (2) Four variables, firm size, job title, working hours, and academic achievement, were selected in the workplace model. (3) One variable, job title, was selected in the change model. In summary, the decision tree effectively determined that academic achievement positively affects graduate salaries.

Original languageEnglish
Pages (from-to)125-151
Number of pages27
JournalJournal of Research in Education Sciences
Volume62
Issue number2
DOIs
Publication statusPublished - 2017 Jan 1

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salary
graduate
job title
academic achievement
Taiwan
education
workplace
firm
working hours
labor supply
regression
university
market

Keywords

  • College graduate salaries
  • Decision tree
  • Regression tree
  • Taiwan Education Panel Survey
  • Taiwan Education Panel Survey and Beyond

ASJC Scopus subject areas

  • Education

Cite this

Decision tree for investigating the factors affecting graduate salaries. / Cheng, Yung Fu; Hsu, Ying Shao.

In: Journal of Research in Education Sciences, Vol. 62, No. 2, 01.01.2017, p. 125-151.

Research output: Contribution to journalArticle

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