Jean Monnet Chair Small Area Methods for Monitoring
- Slides: 10
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 Ø 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) Ø Enhancing the students’ abilities to: ü understand analyze existing set of indicators of poverty and living conditions in Europe for policy-making 2
Aims and content of teaching activities Four modules: Ø Evidence-based policy making at national and local level Role of statistics and statistical analysis to support the policy intervention Ø European Statistical System Organization of the ESS with attention to the data production model and privacy issue (D. Ghio) Ø Data on Income, Consumption, Poverty and living conditions in the ESS Characteristics of data available at macro and micro level and their consistency Ø Measuring Prices: the use of price indexes Temporal and Spatial Prices Indexes (Purchasing Power Parities) for comparison of Income, Consumption and Poverty 3
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 Ø Problem to be solved Ø Information needs Definition of data need Ø Collection of information Collection of data (Surveys) Ø Analysis of information Statistical Methods for Anal. Ø Decision (choice of the action) Decision (support choices) 5
What to know about Statistics Ø Statistical Information 1 methods of data production 2 sources of statistical data 3 interpretation and comparison Ø Statistical Methods 1 capability to implement Statistical Analysis 2 capability to interpret and present the results of the analysis 6
What to know about statistical information -a 1 Data Production ü General characteristics of population to measure ü 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? ü 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) 7
What to know about statistical information -b 2 Knowledge of data sources and their characteristics ü EU level European Statistical System (ESS) for national accounts and system of surveys (Daniela Ghio) ü Local level Usually very few data is available and need to use SAE to produce them (Monica Pratesi et al. ) 3 Interpretation and comparisons ü Interpretation Definitions used and Quality of data ü Comparisons Never plain: need for standardization 8
What to know about statistical methods 1 Capability to implement Statistical Analysis ü Knowledge of statistical methods of analysis ü Capability to use the adequate methods for different aims ü Knowledge of the intrinsic logic of the methods 2 Capability to interpret and present the results of the analysis ü What the data and method used allow ü Interpretation of the results obtained for the specific analysis ü Methods of presentation of the statistical analyses (tables and graphs) 9
Few References - Mc. Clave 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 10