IDEAS home Printed from https://ideas.repec.org/p/ris/uncgec/2010_004.html
   My bibliography  Save this paper

Worker Mobility, Employer-Provided Tuition Assistance, and the Choice of Graduate Management Program

Author

Listed:
  • Gicheva, Dora

    (University of North Carolina at Greensboro, Department of Economics)

Abstract

This paper links a worker's propensity to change jobs to her schooling choices. A model of the choice of graduate management program type based on job search theory predicts that more mobile workers are more likely to enroll in a full-time Master of Business Administration program. The study also adds to the literature on employer-sponsored general training; the model predicts that employers are more likely to provide tuition assistance to workers who find quits costly. I use a four-wave panel survey of GMAT registrants to show that these predictions hold true empirically. Observable characteristics that are correlated with stronger job attachment are also positively correlated with the probability of attending a part-time program and, conditional on part-time attendance, with the likelihood of receiving employer-provided tuition reimbursement.

Suggested Citation

  • Gicheva, Dora, 2010. "Worker Mobility, Employer-Provided Tuition Assistance, and the Choice of Graduate Management Program," UNCG Economics Working Papers 10-4, University of North Carolina at Greensboro, Department of Economics.
  • Handle: RePEc:ris:uncgec:2010_004
    as

    Download full text from publisher

    File URL: https://bryan.uncg.edu/wp-content/uploads/2018/02/10-04.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gicheva, Dora, 2016. "Student loans or marriage? A look at the highly educated," Economics of Education Review, Elsevier, vol. 53(C), pages 207-216.

    More about this item

    Keywords

    job mobility; employer-provided general training; MBA education;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J32 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Nonwage Labor Costs and Benefits; Retirement Plans; Private Pensions
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • M53 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Training

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:uncgec:2010_004. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Albert Link (email available below). General contact details of provider: https://edirc.repec.org/data/edncgus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.