Quantitative analysis 1

Aims of the course

- Obtain basic knowledge about sampling, parameter estimation and analysis of relationship between variables.
- Develop skills and ability to use statistical analysis software.
- Develop the ability of critical thinking and evidence-based inference.

Course syllabus

Introduction
Basics
Data: sources and presentation
Frequency distribution
Measures of central tendency
Measures of variability
Introduction to sampling and parameter estimation
Hypotheses testing
Non-parametric statistical methods
Regression analysis
Goodness-of-fit
Time series analysis
Structural breaks
Panel data analysis
Difference-in-difference technique
Introduction to survival analysis

Course director(s)