Daniel L. McFadden is the Presidential Professor of Health Economics at the University of Southern California and Professor of the Graduate School at University of California, Berkeley. His pioneering work revolutionized how economists understand and predict individual decision-making behavior when faced with discrete alternatives.
In 2000, McFadden was awarded the Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel (shared with James Heckman) for his development of theory and methods for analyzing discrete choice. His conditional logit model, introduced in 1974, linked economic theory with statistical methods to predict how individuals choose among finite alternativesâsuch as transportation modes, housing locations, or career paths. McFadden's work successfully predicted public transportation usage in San Francisco, demonstrating the practical applicability of his methods. Beyond discrete choice theory, his research has expanded to address critical issues including retirement planning, health services, financial decision-making, and the status of the elderly in society. His work illuminates the systematic biases and shortsightedness that often prevent people from making optimal decisions.

