Interaction terms in logit and probit models

Interaction terms in logit and probit models

The magnitude of the interaction effect in nonlinear models does not equal the marginal effect of the interaction term, can be of opposite sign, and its statistical significance is not calculated by standard software. We present the correct way to estimate the magnitude and standard errors of the in...

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Veröffentlicht in:Economics letters 2003-07, Vol.80 (1), p.123-129
Hauptverfasser: Ai, Chunrong, Norton, Edward C.
Format: Artikel
Sprache:eng
Schlagworte:
Applied economics
Error
Estimation
Interaction effect
Interaction term
Logit
Non-linear models
Nonlinear models
Probit
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container_end_page 129
container_issue 1
container_start_page 123
container_title Economics letters
container_volume 80
creator Ai, Chunrong
Norton, Edward C.
description The magnitude of the interaction effect in nonlinear models does not equal the marginal effect of the interaction term, can be of opposite sign, and its statistical significance is not calculated by standard software. We present the correct way to estimate the magnitude and standard errors of the interaction effect in nonlinear models.
doi_str_mv 10.1016/S0165-1765(03)00032-6
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identifier ISSN: 0165-1765
ispartof Economics letters, 2003-07, Vol.80 (1), p.123-129
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1873-7374
language eng
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source RePEc; ScienceDirect Journals (5 years ago - present)
subjects Applied economics
Error
Estimation
Interaction effect
Interaction term
Logit
Non-linear models
Nonlinear models
Probit
title Interaction terms in logit and probit models
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