Abstract
We show that when the true data generating process of a large class of binary choice models contains conditional heteroscedasticity, predictions based on the misspecified MLE in which conditional heteroscedasticity is ignored, are unaffected by the misspecification.
Original language | English |
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Pages (from-to) | 130-134 |
Number of pages | 5 |
Journal | Economics Letters |
Volume | 150 |
DOIs | |
State | Published - 1 Jan 2017 |
Keywords
- Conditional heteroscedasticity
- Misspecified models
- Probit
All Science Journal Classification (ASJC) codes
- Finance
- Economics and Econometrics