Econometrics and Statistics
Econometrics and statistics are concerned with the combination of economic, mathematical, and computer techniques in the analysis of economic and business problems such as forecasting, demand and cost analyses, model-building, analysis of big data and testing empirical implications of theories.
Study in this area integrates a comprehensive program of course work with extensive research. The program is designed for students who wish to do research in statistical methods that are motivated by business applications. Students are able to design an individual program of study by combining courses in specific areas of business, such as economics, finance, accounting, marketing, or international business with advanced courses in statistical methods.
Empirical work has always been an important part of the research effort at Chicago Booth in all fields of study. Econometrics and statistics courses are thus useful choices in satisfying the basic discipline or coordinated sequence.
For details on the specifics of econometrics and statistics as a dissertation area, see General Examination Requirements - By Area in the PhD Program Guidebook (PDF).
To learn more about the research being done by current PhD students, please view a listing of proposals and defenses across dissertation areas.
For econometrics and statistics faculty, please access the faculty directory to sort by academic area.