Course description

Research Methods and Econometrics

Introduction

The course provides an introduction to the research methods of the social sciences and to econometrics. Research methods is important for the understanding of the strengths, limitations and possilities of applied research in general, and of econometric research in particular. Research methods also provides an insight into which approaches that are most appropriate for a certain research question. Regression analysis, a key component of econometrics, is a powerful and very flexible multivariate data analysis tool that can shed light on a very large number of economic issues.

Course content

  • Research methods and the philosophy of science
  • Research questions, hypotheses and types of data
  • Variation in research design, plurality of interpretation and the uncertainty of inference
  • Simple and multiple regression
  • Variation in functional form
  • Regression with qualitative right-hand side variables
  • Multicolinearity
  • Heteroscedasticity
  • Autocorrelation
  • Specification error and model selection
  • Dynamic models and forecasting
  • Qualitative left-hand side variables

Learning outcome knowledge

After the course, the students will have knowledge about:

  • Important research methodological concepts
  • The main principles of scientific thinking
  • Knowledge of the main approaches (both qualitative and quantitative) to the collection, processing and analysis of data
  • Basic econometrics
  • Possibilities and limitations of econometric tools for business uses (research, quality control, forecasting, logistic analysis and control, etc.)
  • Limitations in the case where statistical assumptions are violated
  • The plurality of interpretation and uncertainty associated with econometric analysis

 

Exam organisation

  • Multiple choice: 100%