Wirtschaftswissenschaftliche Fakultt Lehrstuhl fr Statistik, konometrie und Empirische Wirtschaftsfo - PowerPoint PPT Presentation

Title: Wirtschaftswissenschaftliche Fakultt Lehrstuhl fr Statistik, konometrie und Empirische Wirtschaftsfo


1
Wirtschaftswissenschaftliche FakultätLehrstuhl
fürStatistik, Ökonometrie und Empirische
WirtschaftsforschungProf. Dr. Joachim Grammig
Statistik, Ökonometrie und Empirische
Wirtschaftsforschung
2
Veranstaltungen Bachelor Empirical Economics

• S311 Einführung in die Ökonometrie Applied
  Econometrics
• S313 Anwendung von Multivariaten Methoden in der
  Wirtschaftswissenschaft Multivariate Methods in
  Finance and Marketing
• S310 Angewandte Zeitreihenanalyse und
  Prognosemethoden Applied Time Series und
  Forecasting
• S314 Applied Computational Econometrics
• S312 Bachelorarbeit in Ökonometrie und Statistik
  Bachelor Thesis in Empirical Economics
• SQ 457 Using EViews for Principles of
  Econometrics
• SQ 446 Computer-based statistical analysis of
  financial data (with SAS)

Statistik, Ökonometrie und Empirische
Wirtschaftsforschung
3
Ragnar Frisch, Econometrica Vol.1 No. 1 (1933)
revisited

• EDITORS INTRODUCTION

Econometrics is by no means the same as economic
statistics. Nor is it identical with what we call
general economic theory, Nor should
econometrics be taken as a synonymous with the
application of mathematics to economics.
Experience has shown that each of these three
view-points, that of statistics, economic theory,
and mathematics, is a necessary, but not by
itself a sufficient, condition for a real
understanding of the quantitative relations in
modern economic life.
It is the unification of all three aspects that
is powerful.
And it is this unification that constitutes
econometrics.
Statistik, Ökonometrie und Empirische
Wirtschaftsforschung
4
The unification of all three aspects constitutes
econometrics
Econometrics
Mathematical Statistics
Economic Theory
Data
Statistik, Ökonometrie und Empirische
Wirtschaftsforschung
5
Applied Econometrics

• Application of the linear regression model in
  economics, business administration and finance.
• conduct sensible applications of basic
  econometric techniques.
• gain an intuitive understanding of the methods
  and their limitations and learn how to present
  and discuss their results in a scientific correct
  way

Statistik, Ökonometrie und Empirische
Wirtschaftsforschung
6
Multivariate Methods in Finance and Marketing

• Multivariate methods can rescue us from drowning
  in information and (being) starved for knowledge
  (Peters (1988))
• Application of multivariate methods in finance
  and marketing by means of case studies using the
  software package SAS
• Focus on interpretation and critical discussion
  of results

• Profile plot contrasting similarity versus
• distance measures in cluster analysis
• distances between objects?
• correspondence of patterns?

Statistik, Ökonometrie und Empirische
Wirtschaftsforschung
7
Applied Time Series und Forecasting

• Gain experience in practical applications of
  time series methods in economics and finance
• Develop an intuitive understanding of the methods
  and their limitations and learn how to present
  and discuss their results in a scientific correct
  way

Statistik, Ökonometrie und Empirische
Wirtschaftsforschung
8
Applied Computational Econometrics

• Goal enable students to use the software
  packages EViews and SAS in practical applications
  for econometric and statistical analysis
• Course is subdivided into two parts
• EViews course enables students to use the EViews
  software with special focus on the application of
  the classic linear regression model in econmics,
  business administration and finance
• SAS course makes students familiar with the SAS
  macro language, SQL and selected SAS procedures
  which are used for the econometric and
  statistical analysis of financial data

Statistik, Ökonometrie und Empirische
Wirtschaftsforschung
9
Using EViews for Principles of Econometrics  

• Companion to the lecture "Applied Econometrics"
• Use of the EViews software in practical
  applications for econometric and statistical
  analysis
• Application of the classic linear regression
  model in economics, business administration and
  finance
• Residual analysis in multiple regression
  analysis

Statistik, Ökonometrie und Empirische
Wirtschaftsforschung
10
Computer-Based stat. analysisof financial data 

• The course should make students familiar with the
  SAS macro language, SQL and selected SAS
  procedures by using the SAS software in practical
  applications for econometric and statistical
  analysis
• The main focus is the analysis of financial
  market data

Statistik, Ökonometrie und Empirische
Wirtschaftsforschung
11
Computergestützte Statistische Analyse I und II

• Explorative Datenanalyse
• Wahrscheinlichkeit und Risiko

Statistik, Ökonometrie und Empirische
Wirtschaftsforschung
12
Bachelor Thesis in Empirical Economics

• In the Bachelor thesis students should present
  empirical work in a scientific correct way

Statistik, Ökonometrie und Empirische
Wirtschaftsforschung