2024-2025 Academic Year

Fall 2024

ECON 111 Intro to Microeconomics
A study of the fundamentals of economic analysis and of basic economic institutions, with particular emphasis upon consumer demand and upon the output and pricing decisions of business firms. The implications of actions taken by these decision-makers, operating within various market structures, upon the allocation of resources and the distribution of income are examined. Special attention is given to the sociopolitical environment within which economic decisions are made.

ECON 298 Econometrics
This course is an introduction to econometrics in which the tools of economic theory, mathematics, and statistical inference are applied to the analysis of economic data. Students will develop foundational knowledge of applied statistics and econometrics through exploration of empirical techniques relevant to quantitative economics including probability, estimation, hypothesis testing, correlation, modeling, simple and multiple linear regression analysis, and time series analysis. In addition, this course will cover basic extensions of a multiple linear regression model such as dummy variables and interaction terms. Students will use Stata, or other statistical analysis software widely used in economics, to understand and apply empirical work.Prerequisite: 111, 112, MATH 170, and MATH 121 (or INBM 220 or MATH 225)

Spring 2025

ECON 111 Intro to Microeconomics
A study of the fundamentals of economic analysis and of basic economic institutions, with particular emphasis upon consumer demand and upon the output and pricing decisions of business firms. The implications of actions taken by these decision-makers, operating within various market structures, upon the allocation of resources and the distribution of income are examined. Special attention is given to the sociopolitical environment within which economic decisions are made.

ECON 112 Intro to Macroeconomics
A study of the fundamentals of economic analysis and of basic economic institutions, with particular emphasis upon national output, employment, and price levels. The monetary and financial system is explored together with problems of economic stability. Monetary and fiscal policy procedures are analyzed and evaluated in light of the current economic climate. Special attention is given to the historical development of major economic institutions.Prerequisite: 111.

ECON 298 Econometrics
This course is an introduction to econometrics in which the tools of economic theory, mathematics, and statistical inference are applied to the analysis of economic data. Students will develop foundational knowledge of applied statistics and econometrics through exploration of empirical techniques relevant to quantitative economics including probability, estimation, hypothesis testing, correlation, modeling, simple and multiple linear regression analysis, and time series analysis. In addition, this course will cover basic extensions of a multiple linear regression model such as dummy variables and interaction terms. Students will use Stata, or other statistical analysis software widely used in economics, to understand and apply empirical work.Prerequisite: ECON 111 and ECON 112; MATH 170 and (MATH 121 or MATH 225 or INBM 220 or COMP 180 or DATA 180 or MATH 180)

ECON 314 Empirical Finance
This course is to use market data to develop models for financial analysis by using statistics, econometrics, and finance. The main goal of the course is to develop students’ financial analytical and modeling skills in the fields of asset pricing and valuations, statistical methodology, the calibration and testing of the times series, and forecasting. Issues covered are the empirical properties of high-frequency financial data, the predictability of returns, announcement effects and event studies, estimation of the Capital Asset Pricing Model (CAPM), Fama-French factor model, portfolio theory, the concept of Value-at-Risk, time series model and forecasting. All topics are taught in an applied way that involves the implementation of the discussed methods in R/STATA. Practical applications to problems of model specification, estimation, time-series analysis, and forecasting will be taught through a learning-by-doing approach. At the end of the course, students are able to replicate and extend a series of stylized facts and studies regarding financial empirical analysis.

DATA 560 Stu/Faculty Collaborative Rsch