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Model comparison

To be able to interpret the price.ratio coefficient of the probit.model you calculate its effect of an average unit change on the latent propensity by using the function margins(). You check if the effect for the probit.model might be different by calling the function margins() again on the logistic.model object.

This exercise is part of the course

Building Response Models in R

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Exercise instructions

  • Obtain the marginal effect for price.ratio of the logistic.model by using the function margins().
  • Obtain the marginal effect for price.ratio of the probit.model by using the function margins().

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Logistic model


# Probit model
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