Binary Choice Model

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Delves into the binary choice model, error term specification, and Extreme Value distribution properties.

Covers the calculation of expectation and variance for different types of random variables, including discrete and continuous ones.

Explores the convergence of random variables, the law of large numbers, and the distribution of failure time.

Explores advanced probabilities, random variables, and expected values, with practical examples and quizzes to reinforce learning.

Explains the importance of moments in measuring distribution properties, such as expectation and variance.

Explores continuous random variables and their properties, including support and cumulative distribution functions.

Explores different modes of convergence for random variables.

Explores mixture models, including discrete and continuous mixtures, and their application in capturing taste heterogeneity in populations.

Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.

Covers constructing real numbers through decimal expansion and the concept of discrete and continuous random variables.