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Internet Job Search and Labor Market Outcome

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  • Hazrul Shahiri
  • Zulkifly Osman

Abstract

This study examines the effect of the use of internet job search (IJS) on individual wages. The data utilized in the study are obtained from the Internet and Computer Use Dictionary in the Current Population Survey of September 2001 and October 2003. An Oaxaca Decomposition is used to examine the extent to which wage differences are influenced by IJS. The results show that accessibility to the internet is a crucial factor in the decision of an individual to utilize the internet for job search activities. However, no clear evidence exists that IJS increases individual wages. Additionally, the study also demonstrates that IJS is subject to self-selection bias. Thus, failure to control for self-selection bias results in a very serious bias in estimation.

Suggested Citation

  • Hazrul Shahiri & Zulkifly Osman, 2015. "Internet Job Search and Labor Market Outcome," International Economic Journal, Taylor & Francis Journals, vol. 29(1), pages 161-173, March.
    • Handle: RePEc:taf:intecj:v:29:y:2015:i:1:p:161-173
    DOI: 10.1080/10168737.2014.966739
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    Cited by:

    1. Shi, Zheng, 2023. "The impact of regional ICT development on job quality of the employee in China," Telecommunications Policy, Elsevier, vol. 47(6).
    2. Wang, Huijuan & Ding, Lin & Guan, Rong & Xia, Yan, 2020. "Effects of advancing internet technology on Chinese employment: a spatial study of inter-industry spillovers," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    3. Nakamura, Nobuyuki & Suzuki, Aya, 2021. "COVID-19 and the intentions to migrate from developing countries: Evidence from online search activities in Southeast Asia," Journal of Asian Economics, Elsevier, vol. 76(C).
    4. He, Jia & Qing, Chen & Guo, Shili & Zhou, Wenfeng & Deng, Xin & Xu, Dingde, 2022. "Promoting rural households' energy use for cooking: Using Internet," Technological Forecasting and Social Change, Elsevier, vol. 184(C).

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