Wrapping it up

Building Response Models in R

Kathrin Gruber

Assistant Professor of Econometrics Erasmus University Rotterdam

What you've learned

  • Linear and nonlinear response models for sales.

  • Logistic and probit response models for purchase decisions.

  • Using dummy and lagged variables.

  • Predictive and model validation checks.

Building Response Models in R

Where to go from here?

Advanced topics

  • Forecasting using R
  • Franses, P. H., & Paap, R. (2001). Quantitative models in marketing research. Cambridge University Press.
Building Response Models in R

Keep on modeling!

Building Response Models in R

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