Fall 2023 Finance B9324 section 001

Econometrics and Statistical Inference I

Econometrics & Stat Infer

Call Number 16938
Day & Time
Location
W 6:00pm-9:00pm
870 Kravis Hall
Points 3
Grading Mode Standard
Approvals Required None
Instructor Nicola Rosaia
Type SEMINAR
Method of Instruction In-Person
Course Description

This course is an introduction to econometrics and statistical inference at the graduate level (PhD). Topics will include mathematical statistics, estimation methods for linear and non-linear models, and statistical inference. The intent is to develop a rigorous understanding of econometric models necessary for empirical research in economics, operations, and marketing.

Web Site Vergil
Department Finance
Enrollment 49 students (50 max) as of 3:05PM Sunday, May 11, 2025
Subject Finance
Number B9324
Section 001
Division School of Business
Open To Business
Section key 20233FINC9324B001