Course Topics
Fundamentals of matrix algebra for econometrics Linear regression models: single and multiple regressors Statistical inference in linear regression: hypothesis tests and confidence intervals The maximum likelihood method Extensions of linear regression: autocorrelation and heteroschedasticity Volatility models: ARCH and GARCH Regression models for panel data Logit model

Propaedeutic courses
Probability and Statistics course strongly recommended

Teaching format
Lectures, practical workshops, group project

Educational objectives
ILO (Intended Learning Outcomes) ILO 1 Knowledge and understanding ILO 1.1 estimation and interpretation of econometric models for empirical analysis of previous problems; ILO 1.2 ability to model social and economic phenomena; ILO 1.3 ability to give an economic interpretation to the results of various mathematical-statistical models applied to economics; ILO 1.4 basic knowledge of data management and computer programming for statistical and econometric analysis of socio-economic data; ILO 1.5 knowledge of the technical vocabulary of the subjects in this learning area. ILO 2 Ability to apply knowledge and understanding: ILO 2.1 ability to interact with native speakers fluently and spontaneously on economic topics; ILO 2.2 ability to independently analyse data and detect and explain relationships between real phenomena; ILO 2.3 ability to construct and verify simple statistical and econometric models; ILO 2.4 ability to use quantitative methods to solve problems in economics; ILO 2.5 ability to read, write and communicate in the technical language of quantitative methods in the three official languages of instruction ILO 3 Making judgement ILO 3.1 Acquisition of the capacity for judgement and methodological tools useful for the critical analysis of data, sources, assumptions and implications of scientific practice, the political, ethical and legal context within which economic phenomena are set and with which they interact ILO 4 Communication skills ILO 4.1 Fluency (oral and written) in Italian, German and English, including translation between these languages. Intercultural competence. Conceptual awareness, synthesis and written expression, particularly in the drafting of scientific or science-based documents ILO 5 Learning skills ILO 5.1 Promotion of critical thinking and analytical skills to focus on complex problems in their long-term dynamics and the variety of their implications, including ethical ones

Assessment
(60% of the final subject grade): Final written examination ILOs assessed: 1, 2, 3, 5 (40% of the final subject grade): Group project Analysis of a real data set using the R ILOs assessed: 1, 2, 3, 4, 5

Evaluation criteria
Final written examination: 60% Project: 40% Students must pass the final examination (i.e. correctly answer at least 60% of the questions in the questions in the examination) to obtain a passing grade in the course