Copyright 2020. Jonathan McFadden. All rights reserved.

Spring 2020 Courses

Assistant Professor, Economics, University of Oklahoma 

ECON 3113 - Intermediate Microeconomic Theory

This course involves a more in-depth study of the underlying economics of households, producers, and their interactions in markets. Students will be required to build on past knowledge of microeconomics principles to understand how consumers optimize purchases given their budget constraints and firms make optimal supply decisions based on costs. The nature of these interactions partially determines market structure, which can justify a range of public policy interventions. Note: a solid understanding of algebra and calculus are needed for this course, although use of calculus will be minimal. 

ECON 5970 - Bayesian Econometrics

This course will introduce students to methods of Bayesian data analysis within the field of applied econometrics. Bayesian inference can be thought of as the process of fitting probability models to datasets, resulting in probability distributions of model parameters and other unobserved quantities (e.g., model predictions). The course will emphasize estimation of regression and other multiparameter (parametric) models, model checking, evaluation and extension, and the fundamentals of Markov Chain simulation. Recurring comparisons to frequentist methods will permit assessments of the relative strengths and weaknesses of the Bayesian approach to data analysis.