A Intro to Econometrics

Eugene Lang College Lib Arts: Economics

Liberal Arts
Undergraduate Course
Degree Students
Intro to Econometrics
Spring 2023
Taught By: Tato Khundadze
Section: A

CRN: 13657

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: February 5, 2023 (Sunday)

Online Withdrawal Deadline: April 16, 2023 (Sunday)

Seats Available: Yes

Status: Closed*

* 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: 5:54pm EDT 6/2/2023

Meeting Info:
Days: Monday, Wednesday
Times: 4:00pm - 5:40pm
Building: Johnson/Kaplan 66 West 12th
Room: 602
Date Range: 1/23/2023 - 5/15/2023