ECON 2560 — Applied Econometrics

4 semester hoursUndergraduateLectureNUpath ADNUpath WIusually offered: fall, spring, summerBostonLondonOnlineOnlineStudy AbroadTraditional

Introduces the techniques of regression analysis useful to address relevant questions in economics and related subjects. Covers the foundations of multivariate regression analysis, including potential issues such as heteroskedasticity, multicollinearity, omitted variable bias, and model specification. Additional topics may include instrumental variables, panel data, discrete choice models, and time-series analysis. Utilizes regression software (e.g., Stata, R, Python) throughout the course to analyze real-world data. Writing an applied econometrics paper is an integral part of the course.

Prerequisites

Offering history

TermSectionsEnrolledCapacityFullOpen seats/section
Summer B 2023173520%28.0
Fall 20235141141100%0.0
Spring 2024514916093%2.2
Summer A 20241303391%3.0
Summer B 202413359%32.0
Fall 2024513417577%8.2
Spring 2025514917585%5.2
Summer A 20251203067%10.0
Summer B 20251173057%13.0
Fall 2025615219578%7.2
Spring 2026411113185%5.0

Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.

Meeting times

Share of recent sections by weekday: M 35% · T 30% · W 44% · Th 17% · F 37%

Common patterns: TF (19% of sections), MWR (17% of sections), W (15% of sections), F (12% of sections), M (12% of sections), T (11% of sections) — in patterns, R means Thursday

Professors

Fall

Spring

Summer A

Summer B

Percentages are each professor's average share of the season's enrolled students in recent terms.

Unlocks

ECON 4997, ECON 5210, ECON 5220, ECON 5293, ECON 5650

Courses that list ECON 2560 in their prerequisites.

Links

Official catalog (ECON course descriptions) · Student reviews on RateMyHusky · All ECON courses · Plan it at numap.app