The Determinants of Information Technology Wages

Jing ("Jim") Quan, Ronald Dattero, Stuart D. Galup and Kewal Dhariwal
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Jing ("Jim") Quan: Salisbury University, USA
Ronald Dattero: Southwest Missouri State University, USA
Stuart D. Galup: Florida Atlantic University, USA
Kewal Dhariwal: Athabasca University, Canada

International Journal of Human Capital and Information Technology Professionals (IJHCITP), 2011, vol. 2, issue 1, 48-65

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) 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.

Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jhcitp:v:2:y:2011:i:1:p:48-65

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International Journal of Human Capital and Information Technology Professionals (IJHCITP) is currently edited by Sanjay Misra

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