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Alternative Methods of Estimating Interaction Effects in Non-Linear Models

Author

Listed:
  • Siobhan Austen

    (School of Economics and Finance, Curtin University)

  • Rachel Ong

    (School of Economics and Finance, Curtin University)

  • Richard Seymour

    (Bankwest Curtin Economics Centre, Curtin Business School, Curtin University)

Abstract

No abstract is available for this item.

Suggested Citation

  • Siobhan Austen & Rachel Ong & Richard Seymour, 2013. "Alternative Methods of Estimating Interaction Effects in Non-Linear Models," Bankwest Curtin Economics Centre Working Paper series WP1311, Bankwest Curtin Economics Centre (BCEC), Curtin Business School.
    • Handle: RePEc:ozl:bcecwp:wp1311
    as

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    References listed on IDEAS

    as
    1. Edward C. Norton & Hua Wang & Chunrong Ai, 2004. "Computing interaction effects and standard errors in logit and probit models," Stata Journal, StataCorp LP, vol. 4(2), pages 154-167, June.
    2. Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
    3. Greene, William, 2010. "Testing hypotheses about interaction terms in nonlinear models," Economics Letters, Elsevier, vol. 107(2), pages 291-296, May.
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