The article introduces a new method for estimating mixed logit models, which are used to study choices with hidden differences among individuals. The method, called iteratively re-weighted least squares, simplifies the estimation process and is faster than traditional methods. By reducing the number of calculations needed, this approach makes estimating these models more efficient and accurate.