Jean Monnet Chair Small Area Methods for Monitoring of Poverty and Living conditions in EU (SAMPL-EU) Income, Consumption, Poverty and Prices in the European Statistical System Introduction: objectives and content Luigi Biggeri

Aims and content of teaching activities The Chair aims at introducing students to the study of statistics on poverty and living conditions to provide tools for implementing and monitoring EU, national and local policies (for evidence-based policy-making) (Monica Pratesi Lectures) Enhancing the students’ abilities to: understand and analyze existing set of indicators of poverty and living conditions in Europe for policy-making

Aims and content of teaching activities Four modules: Evidence-based policy making Role of statistics and statistical at national and local level analysis to support the policy intervention European Statistical System Organization of the ESS with attention to the data production model and privacy issue (D. Ghio) Data on Income, Characteristics of data available at Consumption, Poverty and macro and micro level and their living conditions in the ESS consistency Measuring Prices: the use of Temporal and Spatial Prices Indexes price indexes (Purchasing Power Parities) for comparison of Income, Consumption and Poverty

Evidence-based Policy Making Jean Monnet Chair Evidence-based Policy Making The role of statistics in supporting the decision making

Statistical Reasoning for decision Steps of General Reasoning Steps of Statistical Reasoning Problem to be solved Problem to be solved Information needs Definition of data need Collection of information Collection of data (Surveys) Analysis of information Statistical Methods for Anal. Decision (choice of the action) Decision (support choices)

What to know about Statistics Statistical Information 1 methods of data production 2 sources of statistical data 3 interpretation and comparison Statistical Methods 1 capability to implement Statistical Analysis 2 capability to interpret and present the results of the analysis

What to know about statistical information -a- 1 Data Production General characteristics of population to measure Crucial importance of the definitions to: - conduct measures and estimations - understand the content of the information What is the relevant population? What is(are) the variable(s) of interest? Methods of producing data - Complete or sample surveys Populations of units - Data integration When it is impossible to have data of the population with only one survey (also, may be, for abstract concepts)

What to know about statistical information -b- 2 Knowledge of data sources and their characteristics EU level European Statistical System (ESS) for national accounts and system of surveys (Daniela Ghio) Local level Usually very few data is available and need to use SAE to produce them (Monica Pratesi et al.) 3 Interpretation and comparisons Interpretation Definitions used and Quality of data Comparisons Never plain: need for standardization

What to know about statistical methods 1 Capability to implement Statistical Analysis Knowledge of statistical methods of analysis Capability to use the adequate methods for different aims Knowledge of the intrinsic logic of the methods 2 Capability to interpret and present the results of the analysis What the data and method used allow Interpretation of the results obtained for the specific analysis Methods of presentation of the statistical analyses (tables and graphs)

Few References McClave J.T., Benson P.G. and Terry T.T., (2014), Statistics for Business and Economics, Pearson (Chapter 1, What is Statistics?) Biggeri L, Bini M., Coli A., Grassini L and Maltagliati M., (2012), Statistica per le Decisioni Aziendali, Pearson (Chapter 1), in Italian Language