Spring 2020  |  APEC 5032 Section 001: Economic Data Analysis for Managerial and Policy Decisions (56293)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
01/21/2020 - 05/04/2020
Tue 10:15AM - 11:30AM
UMTC, St Paul
Ruttan Hall B22
 
01/21/2020 - 05/04/2020
Thu 10:15AM - 11:30AM
UMTC, St Paul
Coffey Hall 50
Enrollment Status:
Open (7 of 20 seats filled)
Also Offered:
Course Catalog Description:
Statistical and econometric methods for the analysis of large data sets to support managerial and policy decisions. Methods for organizing, accessing, and ensuring the quality of data. Estimation techniques include panel data methods, limited dependent variable models, and time series analysis. Clarity of reporting and design of procedures for maintaining and updating data estimates. prereq: 5031 or instr consent
Class Description:
This course explores statistical and econometric methods for the analysis of large data sets to support managerial and policy decisions. Topics include: Methods for organizing, accessing, and ensuring the quality of data; Estimation techniques including panel data methods, limited dependent variable models, and time series analysis; Clarity of reporting and design of procedures for maintaining and updating data and estimates. Focus is on SAS programming. The intended audience is graduate students who have taken a masters level course in econometrics. Prerequisites: ApEc 5031 or instructor consent.
Class Format:
50% Lecture
40% Laboratory
5% Student Presentations
5% Guest Speakers
Workload:
2 Exam(s)
1 Paper(s)
1 Presentation(s)
8 Problem Set(s)
Other Workload: Student project and homework assignments using computer applications
Textbooks:
https://bookstores.umn.edu/course-lookup/56293/1203
Instructor Supplied Information Last Updated:
8 March 2010

ClassInfo Links - Spring 2020 5000 Level Applied Economics Classes Taught by Elizabeth Davis

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