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.
|Number of pages||11|
|Journal||Communications in Statistics: Simulation and Computation|
|Publication status||Published - 1 Jan 2014|
- Conditional expected values
- Correlation errors
- Sample selection models