Applied Econometrics (for Management)
Applied Econometrics for Management
(2013, 3rd Module)
Instructor: Yeujun(Jun) Yoon
Office: C318
Tel: 2603-3050
Email:yoony@phbs.pku.edu.cn
Class meetings: Mon. & Thu., Session A (10:00~11:50 am ) / Session B (3:30~5:20 pm)
Classroom: TBA
Office hours:10:00~11:50 am. (Wed.)
TA
- Session A: TBA
- Session B: TBA
I. Course Description
This course provides applicable knowledge of econometrics for 1st year management students. The course begins with the brief review of probability and statistic theories which are essential for econometrics. We then cover the classical econometric methodologies which are popularly used in recent management researches such as Linear Regression model, Panel analysis, and Probit/Logit model. We will also visit advanced econometric topics if we have time. Even though the course provides necessary statistical and mathematical backgroundto introduce these methodologies, the course focuses on the application of the econometric toolswhich are useful for students’ academicresearch. The guidance of statistical software (MS-Excel or STATA) is also provided for students who have little experience of analyzing data. To make sure students’ understanding, an individual problem set will be given after almost every week. In addition to maximize students’ learning, we will operate two sessions during the module: morning time (session A) and afternoon session (session B). The maximum numbers of each session would be 40.Thus, you must email your preference to me as soon as you register this course. Students who register after a session meets the maximum number will be assigned to the other session.
II. Objective of the course
1) Provide studentssolid econometric knowledge necessary to assess their academic research and
business problems
2) Improve students’ability of analyzing data, constructing proper model, and interpreting the estimation
results
3) Get students hand dirty as much as possible: opportunities of playing with data sets by using statistical
software.
III. Course Design
1. Textbook
“Introduction to Econometrics, 3E (2012)” by James H. Stock and Mark M. Watson
(ISBN-10: 1-4082-6433-1 / ISBN-13: 978-1-4082-6433-1)
Additional reference
* “Econometric Theory and Methods” (2004) by Russell Davidson and James G.MacKinnon, Oxford
* “Microeconometrics: methods and applications” by A. Colin Cameron and Pravin K.Trivedi, Cambridge
2. Course Assignments
1) Problem Set (7~8): Students solve the problem sets by using the technique learnt from the courses individually. Data would be given by instructor at the same day a problem set is distributed. You can use proper software to solve the problem set. The guidance for MS-Excel or STATA would be given during the class. Students must submit their final answers by deadline, NOT BEFORE THE CLASS STARTS. In special occasion when you have a confirmation from the instructor, partial grade will be provided for late submission.
2) Project Competition Assignment I (Individual Project Assignment):Each student is required to choose his/her own research questions, construct the model, and conduct analysis to answer the research questions by using econometric techniques leant in the class. Each student must submit the final report by individual no later than deadline.
3) Project Competition Assignment II (Group Project Assignment): In addition to submitting final report individually, the group which each student is belonged to is required to select the best report among all group members’individual project assignments. Group will be assigned randomly at the beginning of the course by instructor. Group members will choose one of final reports among their individual projects in the group. The selected project from each group will be presented during class and compete with other groups’ selected projects. For selecting the representative project for each group, group discussions outside of the class are STRONGLY Recommended. Peer evaluation within each group might be applied to prevent a “free rider.”*Peer Evaluation: each group member evaluates other members’ contribution to prepare project competition assignment.
< Criterion of Project Competition Assignment >
- How your model can answer your research questions
- Whether your model is correctly specified
- Whether your analysis is properly conducted
- Understanding of your model and analysis: interpretation & defense
* Additional points are given to whom provide meaningful comments to others’ presentation up to 10 points
4)Final Exam: there is a comprehensive class-room exam at the end of the semester. The exam will cover the materialsonly we discuss in the class. The review session might be given before the exam according to the course schedule.
3. Grading
4. Class Participation
You are required to be prepared and contribute regularly to our class discussion. Learning depends heavily upon thorough and lively participation especially when you don’t have work experience. Since I may from time to time call on individuals even when their hands are not raised, you should let me know before the start of class if some emergency has made it impossible for you to be prepared adequately for that class.
5. Class Room Policies
- Do not disturb other classmates with distracting devices such as cell phones and laptops.
- Additionally, please display the name card. My classes are very interactive, and so it is important for me to know who you are.
- Do not come to class late or leave early. Once the class starts you are expected to stay in your seat. Of course, I
understand that there are special circumstances that can make this necessary; if you do need to come to class late,
or leave early, please let me know ahead of time.
- Finally, please remember that we have a strict academic dishonesty program here. For example, you need to be
careful not to plagiarize from other sources. Failure to adhere to these policies will result in a failing grade.
(2013, 3rd Module)
Instructor: Yeujun(Jun) Yoon
Office: C318
Tel: 2603-3050
Email:yoony@phbs.pku.edu.cn
Class meetings: Mon. & Thu., Session A (10:00~11:50 am ) / Session B (3:30~5:20 pm)
Classroom: TBA
Office hours:10:00~11:50 am. (Wed.)
TA
- Session A: TBA
- Session B: TBA
I. Course Description
This course provides applicable knowledge of econometrics for 1st year management students. The course begins with the brief review of probability and statistic theories which are essential for econometrics. We then cover the classical econometric methodologies which are popularly used in recent management researches such as Linear Regression model, Panel analysis, and Probit/Logit model. We will also visit advanced econometric topics if we have time. Even though the course provides necessary statistical and mathematical backgroundto introduce these methodologies, the course focuses on the application of the econometric toolswhich are useful for students’ academicresearch. The guidance of statistical software (MS-Excel or STATA) is also provided for students who have little experience of analyzing data. To make sure students’ understanding, an individual problem set will be given after almost every week. In addition to maximize students’ learning, we will operate two sessions during the module: morning time (session A) and afternoon session (session B). The maximum numbers of each session would be 40.Thus, you must email your preference to me as soon as you register this course. Students who register after a session meets the maximum number will be assigned to the other session.
II. Objective of the course
1) Provide studentssolid econometric knowledge necessary to assess their academic research and
business problems
2) Improve students’ability of analyzing data, constructing proper model, and interpreting the estimation
results
3) Get students hand dirty as much as possible: opportunities of playing with data sets by using statistical
software.
III. Course Design
1. Textbook
“Introduction to Econometrics, 3E (2012)” by James H. Stock and Mark M. Watson
(ISBN-10: 1-4082-6433-1 / ISBN-13: 978-1-4082-6433-1)
Additional reference
* “Econometric Theory and Methods” (2004) by Russell Davidson and James G.MacKinnon, Oxford
* “Microeconometrics: methods and applications” by A. Colin Cameron and Pravin K.Trivedi, Cambridge
2. Course Assignments
1) Problem Set (7~8): Students solve the problem sets by using the technique learnt from the courses individually. Data would be given by instructor at the same day a problem set is distributed. You can use proper software to solve the problem set. The guidance for MS-Excel or STATA would be given during the class. Students must submit their final answers by deadline, NOT BEFORE THE CLASS STARTS. In special occasion when you have a confirmation from the instructor, partial grade will be provided for late submission.
2) Project Competition Assignment I (Individual Project Assignment):Each student is required to choose his/her own research questions, construct the model, and conduct analysis to answer the research questions by using econometric techniques leant in the class. Each student must submit the final report by individual no later than deadline.
3) Project Competition Assignment II (Group Project Assignment): In addition to submitting final report individually, the group which each student is belonged to is required to select the best report among all group members’individual project assignments. Group will be assigned randomly at the beginning of the course by instructor. Group members will choose one of final reports among their individual projects in the group. The selected project from each group will be presented during class and compete with other groups’ selected projects. For selecting the representative project for each group, group discussions outside of the class are STRONGLY Recommended. Peer evaluation within each group might be applied to prevent a “free rider.”*Peer Evaluation: each group member evaluates other members’ contribution to prepare project competition assignment.
< Criterion of Project Competition Assignment >
- How your model can answer your research questions
- Whether your model is correctly specified
- Whether your analysis is properly conducted
- Understanding of your model and analysis: interpretation & defense
* Additional points are given to whom provide meaningful comments to others’ presentation up to 10 points
4)Final Exam: there is a comprehensive class-room exam at the end of the semester. The exam will cover the materialsonly we discuss in the class. The review session might be given before the exam according to the course schedule.
3. Grading
| Category | % | |
| Participation | 10 | |
| Problem Sets (Individual) | 20 | |
| Project Competition Assignment | I. Individual Project Assignment | 15 |
| II. Group Project Assignment | 15 | |
| Final Exam | 40 | |
4. Class Participation
You are required to be prepared and contribute regularly to our class discussion. Learning depends heavily upon thorough and lively participation especially when you don’t have work experience. Since I may from time to time call on individuals even when their hands are not raised, you should let me know before the start of class if some emergency has made it impossible for you to be prepared adequately for that class.
5. Class Room Policies
- Do not disturb other classmates with distracting devices such as cell phones and laptops.
- Additionally, please display the name card. My classes are very interactive, and so it is important for me to know who you are.
- Do not come to class late or leave early. Once the class starts you are expected to stay in your seat. Of course, I
understand that there are special circumstances that can make this necessary; if you do need to come to class late,
or leave early, please let me know ahead of time.
- Finally, please remember that we have a strict academic dishonesty program here. For example, you need to be
careful not to plagiarize from other sources. Failure to adhere to these policies will result in a failing grade.