Interaction Terms in Nonlinear Models

By Chunrong Ai, E. Norton. 2002

564 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/3b3f09b1a7aa057147c423d98f5a1b7cfc9184de

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Jaideep Prabhu
2. Rajesh Chandy
3. Thomas H. Allison
4. M. Ellis
5. Brian L. Connelly
6. L. Plummer
7. V. Borooah
8. Gerard J. Tellis

In Management Science and Operations Research

1. Rajesh Chandy
2. Jaideep Prabhu
3. Brian L. Connelly
4. L. Plummer
5. V. Borooah

Citations in the corpus

• Better Together? Signaling Interactions in New Venture Pursuit of Initial External Capital (2016, background): “One cannot interpret a ratio of odds ratios in the form of a likelihood (Karaca-Mandic et al., 2012; Kleinman & Norton, 2009).”
• Caste, Inequality, and Poverty in India (2005, background): “The reason for including all the interaction terms (and not excluding the “insignificant” ones, as in Table 2) is that Ai and Norton (2001) have drawn attention to the dangers of eliminating non-significant “interaction” terms in non-linear models like that of the multinomial logit.”
• The Impact of Acquisitions on Innovation: Poison Pill, Placebo, or Tonic? (2005, background): “However, the interpretation of interaction effects is difficult in nonlinear GMM models because marginal effects are a function of all independent variables, not just the variables in the interaction term (see Ai and Norton 2001, 2003).”