2021/2022 BABHAAI1092U Theory and Mechanics Behind Econometrics and Statistical Programming
English Title  
Theory and Mechanics Behind Econometrics and Statistical Programming 
Course information 

Language  English 
Course ECTS  7.5 ECTS 
Type  Elective 
Level  Bachelor 
Duration  Summer 
Start time of the course  Summer 
Timetable  Course schedule will be posted at calendar.cbs.dk 
Min. participants  5 
Max. participants  100 
Study board 
Study Board for BSc in Economics and Business
Administration

Course coordinator  


For academic questions related to the course, please contact course responsible Ralf Andreas Wilke (rw.eco@cbs.dk).  
Main academic disciplines  


Teaching methods  


Last updated on 02/12/2021 
Relevant links 
Learning objectives  
At the completion of the course, the students


Course prerequisites  
The course is a progression course and bases on
BABHAAO1593U Statistics or equivalent.
BABHAAO1593U Statistics is the compulsory 2 semester long Statistics course of the BSc in Economics and Business Administration (HA alm.) at CBS. Students are expected to have basic knowledge of descriptive statistics, elementary probability calculus, probability distributions, confidence intervals, hypotheses tests, regression analysis and estimation by OLS and maximum likelihood (ML). Knowledge of the statistical language R is not required. 

Examination  


Course content, structure and pedagogical approach  
The course provides the students with a thorough and indepth understanding of the fundamental tools of probability theory, linear algebra, econometric modeling, and statistical inference that form the basis for the analysis of high dimensional data sets in economics, business, and finance.
Hence, the course has a high technical level and can be thought of as a progression course often required for many postgraduate study lines in economics, finance, and other applied statistics areas as well for some of the CBS courses offered on both BSc and MSc level, e.g., BABMECV1031U Økonometri, KANCOECO1058U Econometrics, KANCOECO1056U Financial Econometrics, KANCMECV1249U Panel Econometrics.
Moreover, the course introduces the students to R project for statistical computing, including how to code estimation and inference procedures (with and without R builtin standard function), and how to conduct Monte Carlo simulations. 

Description of the teaching methods  
The course comprises of 32 hours of lectures and 6 hours of exercise classes. Lectures focus on theory, intuition, and examples; exercises classes focus on R, derivations, and problem solving.  
Feedback during the teaching period  
 Office hours
 Email correspondence  Exercise classes 

Student workload  


Further Information  
Ordinary 6 weeks course
Preliminary Assignment: A generic test/assignment will be developed concerning “Nordic Nine”. It will be uploaded on Canvas at the end of May. Students are expected to access this assignment before classes begin. The assignment will not be reviewed in classes.
Course and exam timetable is/will be available on https://www.cbs.dk/en/study/internationalsummeruniversity/coursesandexams
We reserve the right to cancel the course if we do not get enough applications. This will be communicated on https://www.cbs.dk/en/study/internationalsummeruniversity/coursesandexams in start March. 

Expected literature  
Main and supplementary textbooks 1. For matrix algebra: 1.1Linear Algebra and Its Applications, 5^{th} edition Authors: David C. Lay, Steven R. Lay, Judi J. McDonald Publisher: Pearson, 2016 Online resources available: My Lab Mat
1.2 Linear Algebra: A modern Introduction, 4^{th} Edition Author: David Poole Publisher: Cengage Learning, 2015 Online resources available: WebAssign
2. For mathematical statistics: 2.1 Introduction to Mathematical Statistics, Global Edition, 8^{th} Edition Author: Robert V. Hogg, Joeseph McKean, Allen T. Craig Publisher: Pearson, 2021 Exercises with data sets that are available in R.
2.2 Mathematical Statistics with Applications, 7^{th} Edition Authors: Dennis D. Wackerly, William MendenHall, Richard L. Scheaffer Publisher: Thomson Learning
2.3 Mathematical Statistics and Data Analysis. 3^{rd} Edition Author: John A. Rice Publisher: Cengage Learning
3. For econometrics: 3.1 Introduction to Linear Regression Analysis 5th Edition Authors: Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining Publisher: Wiley
3.2 Introductory Econometrics: A Modern Approach 7th edition Author: Jeffrey M. Wooldridge, Publisher: SouthWestern College Publishers
3.3 Causal Inference: The Mixed Tape Author: Scott Cunningham Publisher: Yale University Press 