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.-Principles of Economics and Statistics (Module Economics) PROF. PAOLO SCKOKAI COURSE AIMS The course covers the fundamentals of economic analysis, which will enable students to interpret situations using the tools of economic science, both at the level of individual actors (firms, families, state) and of the economic system as a whole. This material is a prerequisite for the subjects encountered in subsequent years, dealing more in depth with the economic aspects of the agri-food system. COURSE CONTENT ECTS Introduction Definition of economics Resources and scarcity The functioning of a market economy Market functioning Demand and supply Supply and demand elasticities Applications of supply and demand theory: government intervention in commodity markets Theory of consumer behaviour The concept of utility The graphical approach to consumer theory Elasticities and consumer surplus Theory of the firm Production function Isoquants and isocosts Short run and long run production costs Market structures Perfect competition, monopoly, monopolistic competition, oligopoly Introduction to macroeconomics Macroeconomics objectives: economic growth, price stability, full employment Aggregate supply and aggregate demand The keynesian model Consumption, savings, investments, government expenditure, taxation. Money, the banking system and the central bank Fiscal and monetary policies Tutorial sessions 0.5 1.0 0.5 0.5 1.0 0.5 1.0 1.0 READING LIST Course textbook: P.A. SAMUELSON-W.D. NORDHAUS-C.A. BOLLINO, Economia, McGraw-Hill, 19th ed., Milano, 2009. Further readings: R.H. MABRY- H.H. ULBRICH, Fondamenti di economia politica, Zanichelli, Bologna, 1997. D. BEGG-S. FISCHER-R. DORNBUSCH, Economia, McGraw-Hill, Milano, 2001. R.H. FRANK-B.S. BERNANKE, Principi di economia, McGraw-Hill, Milano, 2004. TEACHING METHOD The course consists of five credits for lectures and one credit for tutorial sessions, during which students will apply the ideas they have learned to concrete cases. ASSESSMENT METHOD There will be one intermediate written test and a written final exam, followed by a discussion of the results. NOTES Further information can be found on the instructor's webpage or on the Faculty notice board. OFFICE HOURS Students can meet the instructor after class in the “Dipartimento di Economia Agro-alimentare” .- Principles of Economics and Statistics (Module Statistics) PROF. PAOLO SCKOKAI COURSE AIMS The course provides the students with the theoretical background and the basic practical tools for presenting, describing and analysing data, with a particular attention to the analysis of the relationships between variables and to the role of statistical inference. COURSE CONTENT ECTS Descriptive statistics (univariate) Quantitative and qualitative data Frequency distributions: graphs and data presentation Measures of central tendency and dispersion Descriptive statistics (bivariate) Two-entry tables Independence and association between variables Correlation Probability and random variables Probability Discrete and continue random variables The binomial distribution and the normal distribution Statistica inferenziale Estimation and estimators Confidence intervals Hypothesis testing The sampling distributions (t, chi-square and F) Inference on one or two populations Tests and confidence intervals on mean/difference between means Tests and confidence intervals on variance/variance ratio Tests and confidence intervals on proportions The regression model Two-variable regression model (calculations and inference) Multiple regression model (calculations and inference) Tutorial sessions 1.0 0.5 1.0 0.5 1.0 1.0 1.0 READING LIST - Reference texts Triola, M.M., M.F. Triola, (2009), Statistica per le discipline biosanitarie, Pearson Paravia Bruno Mondadori, Milano. Pelosi, M.K., T.M. Sandifer, P. Cerchiello, P. Giudici, Introduzione alla statistica, McGraw-Hill Companies, Milano, 2009. TEACHING METHODS The course is organized with 5 credit units of class lectures and 1 credit unit of class exercises, in which further applications on lectures’ notions will be presented. Solving exercises is required for passing the final examination. COURSE ASSESSMENT Final evaluation is based on a written exam followed by an oral discussion. NOTES Further information can be found on the instructor's webpage or on the Faculty notice board. OFFICE HOURS Students can meet the instructor after class in the “Dipartimento di Economia Agro-alimentare”
