Econometrics

This study course provides a comprehensive introduction to econometric data analysis, covering a range of topics related to sampling, validity, reliability, causality, qualitative and quantitative methods. Students will learn about the principles of sampling design, including considerations such as target population and sample representativity, as well as the classification of sampling methods. The course also covers the structure of data, levels of measurement, and scales, as well as the differences between categorical and continuous data and non-response bias. Students will explore the foundations of estimation and inference, including design-based inference, confidence intervals, variance estimation, and hypothesis testing, and will also learn about regression models, discrete choice models, and estimation methodology. The course provides practical aspects of longitudinal survey data analysis, time series, and macroeconometrics, and also covers the process of carrying out an empirical project, from posing a question to econometric analysis.