Preface

This is the script for the research module in econometrics & statistics.

Repo that makes this site: https://github.com/lidom/RM_ES_Script

General Topic: Regression analysis and beyond

Description: This research module covers modern methods in statistics and econometrics with a focus on regression analysis. Participants have the opportunity to choose among a set of specific projects. Topics suggested by the participants are generally appreciated, but will be assessed with respect to their practical feasibility. All projects should have a theoretical part describing the model and/or the estimation procedures, a Monte-Carlo simulation study, and an application to real data. Depending on the actual number of participants, it might be that the project work has to be carried out as a group task rather than as an individual task. The first five to six weeks consist of lectures (4h per week). Participation is strongly recommended and active participation is desirable. After the lecture series, the groups will have regular meetings with the supervisor.

Grading: Each student will be evaluated on the basis of a presentation and a seminar paper.


Important: You need to register for this course via BASIS. Registration period: Oct. 15-22.


Time Table:

Date Time Topic
08.10. 14:15 - 15:45 General Introduction
10.10. 14:15 - 15:45 Introduction to R
15.10. 14:15 - 15:45 Test Theory
17.10. 14:15 - 15:45 Test Theory
22.10. 14:15 - 15:45 Estimation Theory
24.10. 14:15 - 15:45 Estimation Theory / Final allocation of topics
29.10. 14:15 - 15:45 Regression Analysis
31.10. 14:15 - 15:45 Monte-Carlo Simulations
05.11. 14:15 - 15:45 How to Write and Present
21.01. 14:15 - 15:45 Presentations
23.01. 14:15 - 15:45 Presentations
  • Lecture-Room: Room 0.042
  • Supervision meetings: From Nov. to Jan. at the office of JProf. Liebl
  • Scheduling of appointments: HERE


Presentations:

  • For groups of 1-2: 10-15 minutes
  • For groups of 3-4: 20-25 minutes


Term Paper:

  • Every term paper should consist of the following parts:
    • Introduction of the general problem and a short overview about the relevant literature.
    • Detailed description of the considered method(s).
    • Assessment of the method(s) by means of Monte-Carlo simulations.
    • Application to real data.
  • Page Count:
    • For groups of 1-2: 10-15 pages (plus bibliography and appendix)
    • For groups of 3-4: 15-20 pages (plus bibliography and appendix)
    • Long tables, proofs, additional figures, etc. should be placed in the appendix.
    • Line-spacing: 1.5
  • Deadline for submission of term papers: Feb. 28, 2019, via e-mail to dliebl@uni-bonn.de