This course is designed for graduate students interested in current econometric methods used in empirical economic research. The primary goal of this course is to provide an overview of various empirical methods, with a particular focus on recent advances. We will learn the econometric methods alongside recent academic work implementing the methods. The course covers topics in advanced causal inference, selected topics in structural estimation, and some applications of natural language processing (NLP).

This course will focus on probability theory and statistical inference, the foundations of econometric analysis. Probability theory is the building block that will allow you to understand estimation and statistical inference. The first part focuses on univariate distributions and multivariate distributions, with care taken to differentiate discrete and continuous random variables. The second part covers estimation and inference.

Not available at this time

Independent study and research on selected problems in resource economics.

Independent study and research on selected problems in resource economics.

Independent study and research on selected problems in resource economics.

Independent study and research on selected problems in resource economics.

This course provides the mathematical foundation necessary for graduate study in economics and useful for many quantitatively-oriented business fields such as finance, management, and analytics. It covers differential and integral calculus, multivariable functions, vectors, and matrix algebra. The course emphasizes intuition, problem-solving, and connections between mathematics and economic reasoning, with applications that extend to business, finance, management, and other decision-focused disciplines.

This course provides the mathematical foundation necessary for graduate study in economics and useful for many quantitatively-oriented business fields such as finance, management, and analytics. It covers differential and integral calculus, multivariable functions, vectors, and matrix algebra. The course emphasizes intuition, problem-solving, and connections between mathematics and economic reasoning, with applications that extend to business, finance, management, and other decision-focused disciplines.

The Commonwealth Honors College thesis or project is intended to provide students with the opportunity to work closely with faculty members to define and carry out in-depth research or creative endeavors. It provides excellent preparation for students who intend to continue their education through graduate study or begin their professional careers. The student works closely with their 499Y Honors Research sponsor to pursue research on a topic or question of special interest to them in preparation for writing a 499T Honors Thesis or completing a 499P Honors Project.