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Total, Structural and Secondary Moderating Effects in the Tobit Model and Their Computation Using Stata

Author

Listed:
  • Harry P. Bowen

    (McColl School of Business, Queens University of Charlotte)

Abstract

This paper derives expressions for the total, structural and secondary moderating effects, as discussed in Bowen (2010, Journal of Management), for the commonly used Tobit model. Stata program statements are presented that compute the values of each effect and assess their significance.

Suggested Citation

  • Harry P. Bowen, 2010. "Total, Structural and Secondary Moderating Effects in the Tobit Model and Their Computation Using Stata," Discussion Paper Series 2010-02, McColl School of Business, Queens University of Charlotte, revised 27 Aug 2010.
    • Handle: RePEc:msb:wpaper:2010-02
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    Cited by:

    1. Aschhoff, Birgit & Grimpe, Christoph, 2014. "Contemporaneous peer effects, career age and the industry involvement of academics in biotechnology," Research Policy, Elsevier, vol. 43(2), pages 367-381.
    2. Marc Gruber & Ian C. MacMillan & James D. Thompson, 2013. "Escaping the Prior Knowledge Corridor: What Shapes the Number and Variety of Market Opportunities Identified Before Market Entry of Technology Start-ups?," Organization Science, INFORMS, vol. 24(1), pages 280-300, February.
    3. Aschhoff, Birgit & Grimpe, Christoph, 2012. "Peer effects and academics' industry involvement: The moderating role of age on professional imprinting," ZEW Discussion Papers 12-011, ZEW - Leibniz Centre for European Economic Research.
    4. Townsend, David M. & Busenitz, Lowell W., 2015. "Turning water into wine? Exploring the role of dynamic capabilities in early-stage capitalization processes," Journal of Business Venturing, Elsevier, vol. 30(2), pages 292-306.

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