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    Three Essays on IT and Labor Market Matching

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    Genre
    Thesis/Dissertation
    Date
    2020
    Author
    Guo, Xue cc
    Advisor
    Pang, Min-Seok
    Committee member
    Wattal, Sunil
    Ayabakan, Sezgin
    Bai, Xue
    Department
    Business Administration/Management Information Systems
    Subject
    Information Technology
    Business Administration
    Economics
    Gig Platforms
    Immigration Policy
    Information Technology
    Labor Market Matching
    Online Labor Markets
    Permanent link to this record
    http://hdl.handle.net/20.500.12613/299
    
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    DOI
    http://dx.doi.org/10.34944/dspace/283
    Abstract
    Labor market matching has significant economic and social impacts since a low matching efficiency/quality reduces aggregated gains in productivity and wages and may lead to unemployment and job vacancy. IT has played a crucial role in influencing labor markets matching by reducing search costs, lowering enter barriers, and promoting flexibility. In this dissertation, I explore one antecedent (i.e., digital labor markets) and two consequences of labor market matching (i.e., local employment and wage). The first essay examines the role of project descriptions (i.e., codifiability, flexibility, outcome standards) in influencing the matching efficiency in the digital labor markets. The results find that an appropriate project description could improve the matching efficiency by 15% between employers and service providers. The second essay studies the impact of an extension in the Optional Practical Training (OPT) program (STEM OPT), an immigration policy that matches local demand with global supply, on local labor markets. I found that the STEM OPT extension boosts employment for domestic IT professionals by promoting innovative and entrepreneurial activities. The third essay studies the impact of an emerging gig platform (i.e., TaskRabbit), a new matching mechanism, on the employment of workers in the housekeeping industry. The results suggest that the platform mostly impacted middle-level management (e.g., first-line supervisors), while the manual workers, such as cleaners and janitors, were not as affected. The contributions and implications of each essay are discussed.
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