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    • University of Missouri-Kansas City
    • School of Graduate Studies (UMKC)
    • Theses and Dissertations (UMKC)
    • Dissertations (UMKC)
    • 2020 Dissertations (UMKC)
    • 2020 UMKC Dissertations - Freely Available Online
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    Labor Market Outcomes and Employment Policy

    McCoy, Brandon Oak
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    [PDF] Labor Market Outcomes and Employment Policy (5.509Mb)
    Date
    2020
    Metadata
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    Abstract
    The first chapter contains an empirical analysis of labor market outcomes. Using the Quarterly Census of Employment and Wages microdata, individual labor market experiences are tracked over time. Not only is the employment relationship unstable, but the instability is concentrated among a subset of the population and is strongly correlated with earnings. There exist two explanations for the observed segmentation of the labor market: feedbacks from fluctuations across the business cycle and segmentation of labor divides workers and thus strengthens the relative power of capital over labor. The last two chapters focus on employment policy, addressing each of the two explanations of segmentation in turn. The second chapter develops a stock-flow consistent model that considers how the Employer of Last Resort policy, which guarantees jobs to all those who are willing and able, and increases stability by reducing fluctuations and uncertainty across the business cycle. The third chapter examines the institutional structure from which power emerges and argues that the Employer of Last Resort would displace the problematic institutions and facilitate an institutional adjustment towards a more inclusive provisioning process.
    Table of Contents
    An Unstable and Segmented Labor Market: Evidence From the Quarterly Census of Employment and Wages Microdata -- The Employer of Last Resort and Economic Stability: a Stock-flow Consistent Model -- The Employer of Last Resort: An Institutional Adjustment Towards an Inclusive Provisioning Process -- Appendix. Equations, Parameters and Variables
    URI
    https://hdl.handle.net/10355/79688
    Degree
    Ph.D. (Doctor of Philosophy)
    Thesis Department
    Economics (UMKC)
     
    Mathematics (UMKC)
     
    Collections
    • Economics Electronic Theses and Dissertations (UMKC)
    • 2020 UMKC Dissertations - Freely Available Online
    • Mathematics and Statistics Electronic Theses and Dissertations (UMKC)

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