Course “Analysis of European Data by Small Area Methods“ a.y. 2017/18
The course “Analysis of European Data by Small Area Methods“ has been started for the a.y. 2017/18.
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Introduction and learning objective A.Y. 2017-2018
ANALYSIS OF EUROPEAN DATA BY SMALL AREA METHODS A.A. 2017-2018 (II semester)
Description:
The course (9ECTS) is structured in the following parts 1) Analysis of the collected data for estimation and testing for the phenomenon under study; definition of planned and unplanned domains. 2) Direct and indirect estimates for unplanned domains; R codes for the application of the SAE estimators (EURAREA and SAMPLE project libraries) 3) quality issues in SAE and usage of SAE in European Statistical System
Materials:
Lectures:
- Lecturers: Pratesi – Lecture 1: European data on poverty and living conditions, policy makers and data needs, the survey data and the small area estimation problem
- Lecturers: Pratesi – Lecture 1 bis: At risk of poverty rate, the survey data, the small area statistics framework and the small area estimation problem
- Lecturers: Pratesi – Lecture 1 ter: measures of poverty
- Lecturers: Pratesi – Lecture 1 quater: Laeken Indicators
- Lecturers: Pratesi – Lecture 2: Estimation for planned and unplanned domains, Horvitz and Thompson estimates of domain total
- Lecturers: Pratesi – Lecture 3: Classification of Small Area Estimation models; EBLUP estimator
- Lecturers: Münnich – Variance estimation of some EU-SILC based indicators at regional level
- Lecturers: Münnich – Variance estimation and weighting in regression
Additional materials (texts, additional slides…):
Pratesi Additional Materials 2018
Lab Materials:
Bertarelli: R Lab Materials (Bertarelli)
Exam: individual written test and seminar on laboratory group activity (Assignments)
Final exam a.a. 2017-2108: Poster presentation JM Workshop 8-10 May 2018 (Poster session 9 May 2018)
– Poster Tommaso Crescioli, Marco Rispoli, Anna Mergoni
– Poster Phuong Hoang Vu, Zobaer Ahmed, Sanghyun Jeon, Khanh Lam Duy, Nathaline Onek Aparo, Ishimwe Aline
– Poster Tural Ahmadov, Merve Celimli
– Poster Christopher Galgo, Anna Stampa, Tam Nguyen Thi Thanh, Ronald Kiduma Wankya
Photogallery Poster Presentation JM Workshop 8- 10 May 2018 – Final exam of the course
EUROPEAN LOCAL INDICATORS AND LIVING CONDITIONS: TRADITIONAL AND NEW SURVEY TECHNIQUES IN THE ERA OF DATA DELUGE AND BIG DATA A.A. 2017-2018 (I semester)
DESCRIPTION:
The course consists of :
3ECTS: Poverty and Living Conditions Indicators
6ECTS: European Statistical System and Data Production Model
9ECTS: European Local Indicators of Poverty and Living Conditions: traditional and new survey techniques in the era of data deluge and Big Data
PRATICAL INFORMATION:
Timetable:
-Monday: 12.15 a.m to 13.45
-Thursday: 12.15 a.m to 13.45
-Friday: 12.15 a.m to 13.45
*(from 27/09 /2017 to 8/12/2017)
Materials:
The materials used in the course “European Local Indicators of Poverty and Living Conditions: traditional and new survey techniques in the era of data deluge and Big Data” (9 ECTS – I Semester) here:
For all the courses:
-Textbooks: Readings will be provided by the lecturer during the course.
Lectures:
- Introduction
- Lecturers: Pratesi – Lecture 1: definition of poverty and of the goals of its measurement
- Lecturers: Pratesi – Lecture 2: measuring poverty, welfare indicators, issues on survey design
- Lecturers: Pratesi – Lecture 3: consumption and income
- Lecturers: Pratesi – Lecture 4: poverty lines
- Lecturers: Pratesi – Lecture 5: measures of poverty
- Lecturers: Pratesi – Lecture 6: Laeken Indicators
- Lecturers: Pratesi – Lecture 7: Sample weighting
- Lecturers: Biggeri – Introduction and learning objective
- Lecturers: Biggeri – II.1. Statistical Information System for Poverty
- Lecturers: Biggeri – I.1-2. Evidence-Based Policy Making
- Lecturers: Biggeri – II.2. The System of National Accounts
- Lecturers: Biggeri – II.3. The system of the sample surveys on the households
- Lecturers: Biggeri – III.1. Measuring Prices- Comparisons of Aggregates- over Time and Space (New)
- Lecturers Shlomo – Pisa_2017
Seminars:
Vincenzo Mauro – Slides: Slides_Mauro
Daniela Ghio – Slides:
Tommaso Rondinella
Slides: EMOS 2017 Bes
Ulrich Rendtel
Slides: Ulrich Rendtel – Issues of the analysis of Socio-Economic Panel Surveys
Parthasaratri Lahiri
Slides: P.Lahiri – Big Data, Big Promise, Big Challenge
Video interview: Partha Lahiri Discusses Big Data for Small Areas
Exam:
-Final evaluation: Written exam*
*The teacher will tailor the written assignment to the students to get awarded with ECTS-credit points
**Please, for the assignment and the modalities of the group work see Moodle platform https://moodle.ec.unipi.it
ANALYSIS OF EUROPEAN DATA BY SMALL AREA METHODS, 2016-2017 (II semester)
DESCRIPTION:
On this course has been borrowed:
“Analysis of Survey Data and Small Area Estimation” (6 ECTS – II Semester)
“European Local Data Sources” (3 ECTS-II Semester)
PRACTICAL INFORMATION:
Timetable: (lectures)
-Thursday: 2.00 pm to 3.30 (From March to May)
***Changing Timetables may be possible, please check each week the timetable of the Master at http://mse.ec.unipi.it/courses/***
Timetable: (seminars)
– Control the section “Events” of this website
Materials:
-Textbooks: Readings will be provided by the lecturers during the course
-Course website: http://sampleu.ec.unipi.it/
–Lectures and Seminars:
- Materials Prof. Pratesi: Material_part_1 and Material_part_2
- Materials Mandatory Seminars: i.e :Gagliardi/Lethonen/Muennich
- Materials 3 ECTS
Exam:
Group assignments:
A.Y. 2016/17
EUROPEAN LOCAL INDICATORS AND LIVING CONDITIONS: TRADITIONAL AND NEW SURVEY TECHNIQUES IN THE ERA OF DATA DELUGE AND BIG DATA , (I semester)
DESCRIPTION:
The course consists of :
3ECTS: Poverty and Living Conditions Indicators
6ECTS: European Statistical System and Data Production Model
9ECTS: European Local Indicators of Poverty and Living Conditions: traditional and new survey techniques in the era of data deluge and Big Data
PRATICAL INFORMATION:
Timetable:
-Monday: 12.15 a.m to 13.45
-Thursday: 12.15 a.m to 13.45
-Friday: 12.15 a.m to 13.45
*(from 26/09 /2016 to 5/12/2016)
Materials:
The materials used in the course “European Local Indicators of Poverty and Living Conditions: traditional and new survey techniques in the era of data deluge and Big Data” (9 ECTS – I Semester) can be downloaded hereafter
For all the courses:
-Textbooks: Readings will be provided by the lecturer during the course.
Texts to read with the slides – texts –
-Course website: http://sampleu.ec.unipi.it
–Lectures:
- Introduction
- Lecturers: Pratesi, Biggeri, Ghio Materials and Slides 3ECTS
- Lectures: Pratesi, Biggeri, Ghio, – Materials and Slides 6ECTS
- Lectures: Pratesi, Biggeri, Ghio, Shlomo –Materials and slides 9ECTS
- Lectures on Big data issues – slides
- Lecture Biggeri 2016-17 – slides
Exam:
-Final valuation: Written exam*
*The teacher will tailor the written assignment to the students to get awarded with ECTS-credit points
**Please, for the assignment and the modalities of the group work see Moodle platform https://moodle.ec.unipi.it
A.A 2015-2016
ANALYSIS OF EUROPEAN DATA BY SMALL AREA METHODS, 2016-2017 (II semester)
DESCRIPTION:
On this course has been borrowed:
“Analysis of Survey Data and Small Area Estimation” (6 ECTS – II Semester)
“European Local Data Sources” (3 ECTS-II Semester)
PRACTICAL INFORMATION:
Timetable: (lectures)
Please check each week the timetable of the course at http://mse.ec.unipi.it/courses/
Materials
-Textbooks: Readings will be provided by the lecturer during the course.
-Course website: http://sampleu.ec.unipi.it/materials/
–Lectures:
- Sample variance estimation (1): variance under simple random sampling; variance with clustering and stratification9th May 2016Lecturer: Francesca Gagliardi
- Small Area Estimation
for Official Statistics
12nd May 2016
Lecturer: Fabrizio Solari - Sample variance estimation (2): the HT estimator and its variance; sampling errors with comlex survey design: JRR16th May 2016Lecturer: Francesca Gagliardi (file as lecture 1)
- Reweighting estimates from European sample surveys18th May 2016Lecturer: Risto Lehtonen (slides, example)
- Variance estimation of some EU-SILC based indicators at regional level
19th May 2016
Lecturer: Ralf Munnich
Exam:
Group assignments:
EUROPEAN LOCAL INDICATORS AND LIVING CONDITIONS: TRADITIONAL AND NEW SURVEY TECHNIQUES IN THE ERA OF DATA DELUGE AND BIG DATA , 2015-2016 (I semester)
DESCRIPTION:
PRATICAL INFORMATION:
Timetable:
Please ceck the timetable of the course at http://mse.ec.unipi.it/courses/second-year/
Materials:
-Textbooks: Readings will be provided by the lecturer during the course.
-Course website: http://sampleu.ec.unipi.it/materials/
–Lectures:
- Opening and introduction
1st Oct 2015
Lecturer: Monica Pratesi - The role of statistics
1st Oct 2015
Lecturer Luigi Biggeri - The design of policy intervention
1st Oct 2015
Lecturer: Luigi Biggeri - Seminar ESS: structure and organization1st Oct 2015Lecturer: Daniela Ghio (slide 1– slide 2 – slide 3)
- Seminar ESS: SDMX – Data, metadata and exchange system; the code of practice and degree of harmonisation at EU level2nd Oct 2015Lecturer: Daniela Ghio (slide 1– slide 2 – slide 3)
- The definition of poverty and the goals of its measurement
8th Oct 2015
Lecturer: Monica Pratesi - Measurement of poverty, welfare indicators issues on survey design 1
8th Oct 2015
Lecturer: Monica Pratesi - National Accounts-Income-Consumption 1
8th Oct 2015
Lecturer: Luigi Biggeri - National Accounts-Income-Consumption 28th Oct 2015Lecturer: Luigi Biggeri (file as Lecture 8)
- Measurement of poverty, welfare indicators issues on survey design 28th Oct 2015Lecturer: Monica Pratesi (file as Lecture 7)
- National Accounts-Income-Consumption 39th Oct 2015Lecturer: Luigi Biggeri
- Survey Methods I (survey process, survey errors)
16th Oct 2015
Lecturer: Monica Pratesi - Survey Methods I (survey process, survey errors)22nd Oct 2015Lecturer: Monica Pratesi (file as Lecture 11)
- Survey Methods I (survey process, survey errors)23rd Oct 2015Lecturer: Monica Pratesi (file as Lecture 11)
- From GDP to Well-being, quality of life and povertyMeasuring Prices: Comparisons of Economic Aggregates and Indicators over Time and Space29th Oct 2015Lecturer: Luigi Biggeri
- Survey Methods II (sampling process, sampling design, sampling formulas)
29th Oct 2015
Lecturer: Monica Pratesi - Survey Methods II (sampling process, sampling design, sampling formulas)30th Oct 2015Lecturer: Monica Pratesi (file as Lecture 14)
Other:
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- Laeken Indicators
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Definitions and calculations (Eurostat Report)
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- Gini Index
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- Poverty Indicators and Big Data:
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Small Area Model-Based Estimators Using Big Data Sources
Predicting poverty and wealth from mobile phone metadata
Exam
2016 Final Examinations Schedule
Analysis of european data by small area methods (PRATESI Monica-MUNNICH Ralf-LEHTONEN Risto-GAGLIARDI Francesca)
24 May h. 11,00
14 June h. 11,00
11 July h. 14,00
12 September h. 14,00
Analysis of Survey Data and Small Area Estimation (PRATESI Monica)
MUT su Analysis of european data by small area methods
24 May h. 11,00
14 June h. 11,00
11 July h. 14,00
12 September h. 14,00
European local indicators of poverty and living conditions: traditional and new survey techniques in the era of data deluge and big data (PRATESI Monica-BIGGERI Luigi-SHLOMO Natalie)
14 June h. 11,00
11 July h. 14,00
12 September h. 14,00
European Statistical System and Data Production Model (PRATESI Monica)
MUT su European local indicators of poverty and living conditions: traditional and new survey techniques in the era of data deluge and big data
14 June h. 11,00
11 July h. 14,00
12 September h. 14,00
Survey methods: Traditional and new techniques in official statistic (PRATESI-GHIO-PORCIANI-FILIPPONI)
27 May h. 12,30
20 June h. 12,00
11 July h. 12,00
16 September h. 12,00