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Quantitative analysis 1 (MASTER)

Goals

- 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.

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

Contacts

Aleša Lotrič Dolinar

Office hours

Tuesday at 11:00

room RZ-403

Until the end of September 2025 the contact hours (live or Zoom) will take place only by prior arrangement via e-mail.

Business portrait of Aleša Lotrič Dolinar in the library of the School of Economics and Business in October 2024, with a round window and shelves full of books in the background