Tobit Model

• Metadata
  • #data-science #model
• Start with a linear equation where the dependent variable is a latent (unobserved) variable
  • Representing the desired contribution of subject i which is assumed to be a linear function of the observed subject characteristics plus some normally distributed error
  • Log-likelihood function is used to describe both regimes and it is maximized