Censored data in regression models can lead to biased results.
The article discusses how using a certain method to estimate regression models can lead to biased results when dealing with censored data. This method, developed by Heckman, has become widely used in econometric studies. The researchers found that even a small amount of censoring in the data can cause bias in the estimation of wage rates and hours of work for different demographic groups.