II Semester a.y. 2018/19
Small Area Methods for the Analysis of Multidimensional Poverty Data and Seminars (9 ECTS)/Analysis of Survey data and Small Area Estimation (6 ECTS)
- Lectures on Small Area Estimation – Slides SAE
- R Labs materials
Materials Seminars and Intensive Courses:
- “PPP methodologies (ICP program) and their implications for the measurement of poverty, and inequality in health and income”, Emeritus Professor Prasada Rao, April 16th – 18th Part 1 Part 2
- “Poverty mapping to study income and cultural diversity in Europe”, Prof. Nikos Tzavidis, May 9th Slides
- “Vulnerable groups: child poverty, migration and gender in Europe”, Prof. Christian Morabito, May 13th Seminar C.Morabito
- Aggregating Multidimensional Indicators in Europe, Prof. Vincenzo Mauro, May 2nd and May 16th sildes Aggregating indicators
EXAM: ORAL ASSIGNMENT (6 ECTS).
Date: 4th June 2019
I Semester a.y. 2018/19
European Indicators of poverty and vulnerabilities for Sustainable Development Goal and Seminars (9 ECTS)/ European Statistical System and Data Production Model (6 ECTS)
- Lecture 1, Oct 1st: Entry Test Questions and Entry Test Answers
- Lecture 2, Oct 4th: Entry test correction 1 – Eurostat Code of Practice
- Lecture 3, Oct 8th: Entry test correction 2 – Paper by Groves and Lyberg, Paper by Couper et al
- Lecture 4, Oct 11th: Entry test correction 3 – Equivalence scales – OECD Note
Materials Intensive Courses:
- Intensive course “Multidimensional Indicators for Sustainable Development Goals in Italy and Europe” Maria Pia Sorvillo (Istat), Nov 16th: Indicators Introduction, Indicators beyond gdp, Indicators BES
- Intensive course ” Tools for evaluating local policies in Europe“, Nina Drejerska (Warsaw University of Life Sciences) Evaluaction according to PCM, Evaluaction according to PCM_part 2
- Intensive course “The implementation of the Agenda 2030 in Europe”, Marina Gandolfo (Istat), Dec 13th: The implementation of the Agenda 2030 – Marina Gandolfo
- Intensive course “Big data in Official Statistics in Europe” Jan van den Brakel (Maastricht University School of Business and Economics/Statistics Netherlands), Dec 14th: Block1Intro, Block2STM, Block3STMBigdata, Block4STMDynamicFac, Block5SolarP, Big Data Verkeerslus, Mobile_Phone2
- R Labs materials
- EXAM (group work):