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Econometrics is routinely taught as an application class using a 'black box' like Stata or SAS to perform calculations. This class takes a different approach. Using the Python programming language, we build all estimators from scratch. Additionally, we introduce numerous non-parametric and simulation techniques. This approach to econometrics results in a stronger understanding of statistical assumptions and methods, a better understanding of when a method is appropriate, and stronger programming techniques. Furthermore, a deeper understanding of the underlying mechanics provides the student the ability to program custom procedures not already built into popular software packages.

Prerequisite(s)/Corequisite(s): A multivariate or regression analysis course such as ECON 8300, ISQA 9130 or STAT 8436, and a programming class such as ECON 8320 or equivalent programming experience; or instructor approval. Not open to non-degree graduate students.

Business Administration, MBA and Economics, MS (MBA/ECON)

In a world with increasingly more data, the quantitative focus of the graduate Economics degree is increasingly attractive to students and employers.   Businesses generate data at an unprecedented rate, and the econometric and modeling skills of an applied economics degree allows graduates to make sense of business data in a systematic and scientific way.  This specialization is enhanced with the broad knowledge provided by an MBA degree. Students in the MBA program demonstrate basic proficiency in a number of business-related disciplines, including marketing, management, accounting, and finance.  This wide domain of knowledge allows students to apply the analytical skills learned in economics courses to a wider set of business problems, thereby adding value to their organizations. Students who wish to pursue this option must work closely with an advisor to develop an integrated plan of study at an early stage. Students who complete the dual degree program will receive two degrees, two diplomas, and will have both degrees recorded on their transcript.