Choice models are statistical models that attempt to capture the rational decision-making process by which individuals choose between options. There are several types of choice models including multinomial logit models, conditional fixed-effects logit models, alternative specific conditional (McFadden) models, ordered logit models, stereotype logistic models, and nested logit models. All choice models are estimated using maximum likelihood and allow the effects of independent variables to differ across outcome categories.