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Quantitative Research Methods I

Course #: ECON 651

Description:
This course is designed to provide an introduction to research methods in economics. It will cover an overview to working with data, measurement of economic variables, methods of data collection, data presentation, hypothesis testing, interpreting the results of various statistical procedures and comparative research methods. The focus of this course will be to develop analytical tools to evaluate the relative merits and drawbacks of various forms of economic analysis. This course will have data workshop sessions that will familiarize students with the basic tools necessary to work with large datasets. Over the course of the semester students will work on developing a research question for their thesis, identify a source of data, and present descriptive statistics from this data source.

Pre Requisites: Pre-req: Matriculated in Applied Economics

Offered in:

2024 Fall

Section Class Number Schedule/Time Instructor Location
01 9752 Tu
5:30 - 8:15 pm
Carr,Michael D W05-0041
Session: Regular
Class Dates: 09/03/2024 - 12/13/2024
Capacity: 15
Enrolled: 6
Status: Open
Credits: 4/4
Class Notes:
Pre Requisites: Pre-req: Matriculated in Applied Economics
Course Attributes:
01W 9755 Tu
8:15 - 9:05 pm
Carr,Michael D Wheatley W01-0037
Session: Regular
Class Dates: 09/03/2024 - 12/13/2024
Capacity: 15
Enrolled: 6
Status: Open
Credits: 4/4
Class Notes:
Pre Requisites: Pre-req: Matriculated in Applied Economics
Course Attributes:

2024 Spring

Section Class Number Schedule/Time Instructor Location
01 13512 M
5:30 - 8:15 pm
Carr,Michael D W05-0041
Session: Regular
Class Dates: 01/22/2024 - 05/08/2024
Capacity: 20
Enrolled: 7
Status: Open
Credits: 4/4
Class Notes:
Pre Requisites: Pre-req: Matriculated in Applied Economics
Course Attributes:
01W 13513 M
8:15 - 9:05 pm
Carr,Michael D W05-0041
Session: Regular
Class Dates: 01/22/2024 - 05/08/2024
Capacity: 20
Enrolled: 7
Status: Open
Credits: 4/4
Class Notes:
Pre Requisites: Pre-req: Matriculated in Applied Economics
Course Attributes: