Nothing Special   »   [go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/shf/wpaper/2008010.html
   My bibliography  Save this paper

Modelling the Incidence of Self-Employment: Individual and Employment Type Heterogeneity

Author

Listed:
  • Sarah Brown
  • Lisa Farrell
  • Mark N Harris

    (Department of Economics, The University of Sheffield)

Abstract
Modelling the incidence of self-employment has traditionally proved problematic. Whilst the individual supply side characteristics of the self-employed are well documented, we argue that the literature has largely neglected demand-side aspects. We explore the determinants of self-employment using individual level data drawn from the U.S. Survey of Consumer Finances (SCF). We present results from an econometric framework, the Parameterised Dogit model, that allows us to separately, and simultaneously, model individual heterogeneity (i.e. supply side) and employment type heterogeneity (i.e. demand-side) influences that determine self-employment. Our findings suggest that whilst individual characteristics are important determinants of self-employment, there are also factors which are specific to the type of employment that influence whether an individual is self-employed.

Suggested Citation

  • Sarah Brown & Lisa Farrell & Mark N Harris, 2008. "Modelling the Incidence of Self-Employment: Individual and Employment Type Heterogeneity," Working Papers 2008010, The University of Sheffield, Department of Economics, revised Sep 2008.
  • Handle: RePEc:shf:wpaper:2008010
    as

    Download full text from publisher

    File URL: http://www.shef.ac.uk/content/1/c6/08/83/11/SERP2008010.pdf
    File Function: First version, 2008
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Nadia Simoes & Nuno Crespo & Sandrina B. Moreira, 2016. "Individual Determinants Of Self-Employment Entry: What Do We Really Know?," Journal of Economic Surveys, Wiley Blackwell, vol. 30(4), pages 783-806, September.
    2. Boudreaux, Christopher J. & Nikolaev, Boris N. & Klein, Peter, 2019. "Socio-cognitive traits and entrepreneurship: The moderating role of economic institutions," Journal of Business Venturing, Elsevier, vol. 34(1), pages 178-196.
    3. Christopher J. Boudreaux & Boris Nikolaev, 2019. "Capital is not enough: opportunity entrepreneurship and formal institutions," Small Business Economics, Springer, vol. 53(3), pages 709-738, October.
    4. Boris Nikolaev & Christopher John Boudreaux & Matthew Wood, 2020. "Entrepreneurship and Subjective Well-Being: The Mediating Role of Psychological Functioning," Entrepreneurship Theory and Practice, , vol. 44(3), pages 557-586, May.
    5. Boris Nikolaev & Nadav Shir & Johan Wiklund, 2020. "Dispositional Positive and Negative Affect and Self-Employment Transitions: The Mediating Role of Job Satisfaction," Entrepreneurship Theory and Practice, , vol. 44(3), pages 451-474, May.
    6. Bögenhold, Dieter & Fachinger, Uwe, 2010. "How Diverse is Entrepreneurship? Observations on the social heterogeneity of self-employment in Germany," MPRA Paper 23271, University Library of Munich, Germany.
    7. Stöhr, Christian, 2022. "The Effect of Micro-Entrepreneurship on Migration Plans of Young Adults in Rural Sub-Saharan Africa and the Mediating Role of Subjective and Economic Well-Being," Junior Management Science (JUMS), Junior Management Science e. V., vol. 7(5), pages 1326-1360.
    8. Miao, Chao & Gast, Johanna & Laouiti, Rahma & Nakara, Walid, 2022. "Institutional factors, religiosity, and entrepreneurial activity: A quantitative examination across 85 countries," World Development, Elsevier, vol. 149(C).

    More about this item

    Keywords

    Discrete Choice Models; Dogit Models; Self-Employment.;
    All these keywords.

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

    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:shf:wpaper:2008010. 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: Mike Crabtree (email available below). General contact details of provider: https://edirc.repec.org/data/desheuk.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.