Abstract
We compare a simple ordinary least squares (OLS) with the maximum likelihood estimation of the Tobit I and Tobit II regression models, in the selected sample. We propose a new measure to quantify the performance of OLS.
| Original language | English |
|---|---|
| Pages (from-to) | 2264-2274 |
| Number of pages | 11 |
| Journal | Communications in Statistics: Simulation and Computation |
| Volume | 43 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - 1 Jan 2014 |
Keywords
- Conditional expected values
- Correlation errors
- OLS
- Sample selection models
- Tobit