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The Determinants of Information Technology Wages

Author

Listed:
  • 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)

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.

Suggested Citation

  • Jing (Jim) Quan & Ronald Dattero & Stuart D. Galup & Kewal Dhariwal, 2011. "The Determinants of Information Technology Wages," International Journal of Human Capital and Information Technology Professionals (IJHCITP), IGI Global, vol. 2(1), pages 48-65, January.
    • Handle: RePEc:igg:jhcitp:v:2:y:2011:i:1:p:48-65
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