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The Determinants of Information Technology Wages

The Determinants of Information Technology Wages

Jing ("Jim") Quan (Salisbury University, USA), Ronald Dattero (Southwest Missouri State University, USA), Stuart D. Galup (Florida Atlantic University, USA), and Kewal Dhariwal (Athabasca University, Canada)
Copyright: © 2011 |Volume: 2 |Issue: 1 |Article: 4 |Pages: 18
ISSN: 1947-3478|EISSN: 1947-3486|EISBN13: 9781613507377|DOI: 10.4018/jhcitp.2011010104
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MLA

Quan, Jing ("Jim"), et al. "The Determinants of Information Technology Wages." IJHCITP vol.2, no.1 2011: pp.48-65. http://doi.org/10.4018/jhcitp.2011010104

APA

Quan, J. J., Dattero, R., Galup, S. D., & Dhariwal, K. (2011). The Determinants of Information Technology Wages. International Journal of Human Capital and Information Technology Professionals (IJHCITP), 2(1), 48-65. http://doi.org/10.4018/jhcitp.2011010104

Chicago

Quan, Jing ("Jim"), et al. "The Determinants of Information Technology Wages," International Journal of Human Capital and Information Technology Professionals (IJHCITP) 2, no.1: 48-65. http://doi.org/10.4018/jhcitp.2011010104

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Abstract

Anchoring this work to the classical human capital theory, the authors examine the effects of various human capital factors on IT professional compensation. Dividing IT salary into LOW (<$75,000) and HIGH (>=$75,000) ranges and using binomial logistic regression analysis, this paper estimates the effects of IT experience, education, IT degrees, IT certifications, and managerial positions on the probabilities of earning low wages in comparison to high wages, while controlling for industry type, organization size and location, gender, and marital status. Results indicate that the most important factors associated with high salaries are managerial positions, IT experience, education, and organization size. Practical advice is given on how IT professionals can employ these results to increase their compensation.

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