Università Roma Tre

Main official statistical surveys: data production and interpretation. In particular: Consumer prices, Industrial production, Labour forces, Household consumptions, Income and living conditions, Household Income and Wealth. National accounts. Main statistical indicators for economic phenomena: (simple and complex) index numbers, measures of concentration.
Calendar adjusted and seasonal adjusted time series; chain-linked values. The use of moving averages to reconstruct the trend.
Introduction to econometrics. Single and multiple Linear Regression: ordinary least squares, goodness of fit, homoscedasticity and heteroscedasticity. Nonlinear regression functions. Regression with panel data. Regression with a binary dependent variable.
An introduction to the use of R for statistical analysis.

Class notes (in Italian) downloadable from the Moodle space of the course.
Press releases (Istat - Banca d'Italia).
Stock J.H. and Watson M.W., Introduction to Econometrics, Global edition, 4th Edition, 2020, Pearson.