A Intro to Econometrics

Eugene Lang College Lib Arts: Economics

Liberal Arts

Undergraduate Course

Degree Students

Intro to Econometrics

Fall 2022

Taught By: Feridoon Koohi-Kamali

Section: A

CRN: 7780

Credits: 4

This course is an introduction to Econometrics focused on the classical linear regression model; with a balance of theory and applications. We begin with a review of statistical basis of Econometrics followed by examinations of each of the assumption of the classical model, consequences of their violation and the available remedies. Time-permitting, additional topics covered are Serial Correlation, Instrumental Variables and Qualitative dependent Variables. Each topic examined theoretically will be followed by a practice session in a computer lab-class with application to a real world data set. After talking this course, students should be able to: 1 Manipulate economic data sets. 2 Diagnose certain problems with linear models and know how to remedy them 3 Have a working knowledge of the classical linear regression model and its applicability. 4. Be able to apply the classical linear model to data using computer software. Pre-requisite: LMTH 2025 Statistics for Social Sciences or LMTH 2030 Statistics with SPSS

College: Eugene Lang College Lib Arts (LC)

Department: Economics (LECO)

Campus: New York City (GV)

Course Format: Seminar (R)

Modality: In-Person

Max Enrollment: 18

Add/Drop Deadline: September 12, 2022 (Monday)

Online Withdrawal Deadline: November 20, 2022 (Sunday)

Seats Available: Yes

* Seats available but reserved for a specific population.

Status: Open*

* Status information is updated every few minutes. The status of this course may have changed since the last update. Open seats may have restrictions that will prevent some students from registering. Updated: 10:42pm 6/26/2022 EDT

Meeting Info:

Days: Tuesday, Thursday

Times: 10:00am - 11:40am

Building: TBD

Room: TBD

Date Range: 8/30/2022 - 12/15/2022