Prerequisites: Knowledge of basic methods of statistics: descriptive statistics, simple random sample, normal distribution, point estimation, confidence intervals, statistical hypothesis
Assessment methods and criteria: Write Test and oral exam
Learning outcomes of the course unit: The course of Economic Statistics has two main objectives: to provide the ability to read the economic data produced by official organizations; introduce students to some basic methodologies for the analysis of economic data. In particular, it takes into account the following topics: index numbers, analysis of time series, linear regression model and its generalizations.
Course contents: 1. The collection, processing, compilation of economic data. 2. The linear regression model. Model estimation and measures of goodness of fit. The analysis of variance. The ordinary least squares estimators. The statistical hypothesis of the regression coefficients. Residual analysis. 3. Introduction to the multiple linear regression model. Model estimation. 4. The analysis of time series. The classical model of decomposition. 5. The construction and interpretation of complex index numbers. The survey of labour force.
Recommended or required reading and course materials: Newbold P., Carlson W.L., Thorne B.M. Statistics for Business and Economics, Pearson Ed. 2013.
Teaching methods: The lessons are accompanied by exercises on real economic data with the use of appropriate statistical package (Excel, Stata)
Readiness to offer individual assistance also in a foreign language (please specify) to incoming students:english
Readiness to accept examination of incoming students also in a foreign language (please specify) inglese
