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ECON 2311 Empirical Methods in Economics I


Course Description

This course is taught in online format. The course is an introduction to the empirical testing of economic theories. This course is designed to give students marketable skills in core econometric analysis, while providing a survey of topics in econometrics. A key structural feature of this class is designed to accomplish this: the homework exercises focus intensely on a relatively small number of important topics.

In Pearson MyEonLab the course is listed as: Empirical Methods I Summer 2021


Course Objectives

This course emphasizes five Learning Objectives. The five specific Course Learning Objectives for ECON 2311 include: 1 Explain core methods in econometrics and identify correct procedures; 2 Discuss core econometric topics at a conceptual level; 3 Access data and use computer software to estimate econometric models; 4 Interpret econometric models estimated with computer software. 1 - 4 will be assessed through homework assignments and exams.


Course Outline

Topic 1: Introduction to Econometrics

Topic 2: Linear Regression

Topic 3: Multiple Regression

Topic 4: Inference for Multiple Regression

Topic 5: Critical Evaluation of Econometric Models

Topic 6: Panel Data Methods

Topic 7: Instrumental Variables


Course Requirements and Grading

Summary of Course Grading:

  ACTIVITIES
  Points for Each
  Total Points Possible
  9 MyLab Quizzes
  20,000
  180,000
  9 My Lab Homeworks
  40,000
  360,000
  MidTerm Exam (40 minutes)

  160,000
  FInal Exam (cumulative, 80 minutes)

  280,000
  2 Stata Regression Projects: Anthem Protest Data
  10,000
  20,000
  Total

  1,000,000


Quizzes and Homework Assignments

The Homework Assignments are designed to give you experience using computer software and managing data. In addition, hands on experience with the data will reinforce the statistical and econometric theory and methods and thus help to prepare you for the final research project. This is especially true given the research project is based upon the skills learned in the weekly lab assignments. These assignments are to be submitted at the end day (11:59 p.m.) on the day they are due. A 2% penalty is imposed on late assignments. On the assignments each quiz has up to 3 attempts, and each homework problem has up to 3 attempts.


Discussion Board

A weekly discussion board for the MyLab Homework problems.


MidTerm and Final Exam

The exams are take home. The midterm is on chapters 4 to 7 and is 40 minutes. The Final is on chapters 4 to 12 and is 80 minutes. Each exam has up to 2 attempts.


Grading Scale:

Points (in hundred thousand s)
Letter Grade
GPA
93-100
A
4.0
90-92
A-
3.7
87-89
B+
3.3
83-86
B
3.0
80-82
B-
2.7
77-79
C+
2.3
73-76
C
2.0
70-72
C-
1.7
67-69
D+
1.3
63-66
D
1.0
60-62
D-
0.7
<60
F
0.0


Due Dates and Late Policy

You are expected to be conscientious about deadlines for assignment activities. Much thought and care has gone into the design of the assignments and their due dates. For the course to proceed as designed it is essential that these deadlines be observed.


Late assignments

Unless excused, a 2% penalty is imposed on late assignments.


Extension of Deadline for Cause i.e. Excusal Policy

Assignments are be submitted on time, except in case of documented emergency, scheduling conflict, religious observances or participation in extracurricular activities that enrich their experience, support their scholarly development, and benefit the university community. If you have a conflict, please inform me in writing ASAP before the event and the assignment deadline may be extended. If you can document an emergency that has prevented you from timely submission of these activities the deadline may be extended. Computer problems by themselves do not constitute a documentable emergency unless you can provide evidence, for example from the HuskyCT support team, that you made a diligent effort to complete the activity during its availability but were prevented by computer issues. Unless excused, a 10-point penalty is imposed on late assignments.