Random Utility Models and Stochastic Rationality in Econometrics

Analyzing human decision-making often requires econometric frameworks that account for unobserved consumer preferences and random behavioral variations. This text-based course provides a structured introduction to stochastic rationality and Random Utility Models (RUM), bridging theoretical axioms with practical econometric tools. You will build a solid grasp of how discrete choice data can be modeled without restrictive parametric assumptions, examining classical foundations alongside contemporary empirical strategies. What you will learn: - Understand core concepts of revealed preference and stochastic choice theory - Apply Random Utility Models (RUM) to address unobserved heterogeneity - Formulate nonparametric econometric tests for stochastic rationality - Evaluate axiom-based conditions for consistent consumer decision patterns - Analyze discrete choice datasets using structured analytical workflows The course begins with fundamental definitions, basic notations, and utility concepts before advancing step-by-step through nonparametric estimation techniques and empirical validation methods. Designed for students, data analysts, and researchers starting out in quantitative economics or choice modeling, this course requires no advanced econometric background to begin. Start reading today to deepen your understanding of stochastic decision modeling.