ADAN 7320 Regression Models

Name: Regression Models
Rating: 4.35 (45 reviews)

This course focuses on the application of statistical tools used to estimate economic relationships. The course begins with a discussion of the linear regression model, and examination of common problems encountered when applying this approach, including serial correlation, heteroscedasticity, and multicollinearity. Models with lagged variables are considered, as is estimation with instrumental variables, two-stage least squares, models with limited dependent variables, and basic time-series techniques.

Course overview

Department: Advancing Studies
School: ADV
Credits: 3
Level: Graduate
Offered: Periodically

Catalog details

Prerequisites: ADEC7301/ADAN7301

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Requirements fulfilled

No source-backed degree requirement is attached to this course yet.

Official evaluation summary

4.35 / 5

Based on 45 aggregate responses from BC Avalanche/Blue evaluations.

Data freshness

Course and evaluation data last updated 2026-08-02. Source details and limitations are documented in Data Sources and Methodology.

Instructors

Arvind Sharma
Spring 2026, Fall 2025, Summer 2025, Fall 2024, Summer 2024, Spring 2024, Fall 2023 · Official rating 4.67/5
Gustavo Vicentini
Fall 2024, Fall 2023, Spring 2023, Fall 2022 · Official rating 4.83/5
Piyush Chandra
Spring 2026, Fall 2025 · Official rating 3.61/5
Razvan Veliche
Fall 2024, Spring 2024, Fall 2022 · Official rating 3.87/5

Sections

No current section details are available.