MATERIALS

Introduction and learning objective A.Y. 2017-2018

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:

  1. Introduction
  2. Lecturers: Pratesi
  3. Lectures: Pratesi
  4. Lectures: Pratesi
  5. Lectures: Biggeri – Introduction and learning objective
  6. Lectures: Biggeri – II.1. Statistical Information System for Poverty
  7. Lectures: Biggeri – I.1-2. Evidence-Based Policy Making
  8. Lectures: Biggeri  – II.2. The System of National Accounts
  9. Lectures: Biggeri  – II.3. The system of the sample surveys on the households
  10. Lectures: Biggeri – III.1. Measuring Prices- Comparisons of Aggregates- over Time and Space (New)
  11. Lectures  Shlomo – Pisa_2017

Seminars:

Vincenzo Mauro – Slides: Slides_Mauro

Daniela Ghio –  Slides:

Presentation_ESS_Structure  

Presentation_ESS_EU_National

Tommaso Rondinella 

Slides: EMOS 2017 Bes

Ulrich Rendtel 

 

Parthasaratri Lahiri

 

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 websitehttp://sampleu.ec.unipi.it/
Lectures and Seminars:

Exam:

Group assignments:

  1. Instructions
  2.  Oral 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 websitehttp://sampleu.ec.unipi.it
Lectures:
  1. Introduction
  2. Lecturers: Pratesi, Biggeri, Ghio Materials and Slides 3ECTS
  3. Lectures: Pratesi, Biggeri, Ghio, – Materials and Slides 6ECTS
  4. Lectures: Pratesi, Biggeri, Ghio, Shlomo –Materials and slides 9ECTS
  5. Lectures on Big data issues – slides
  6. 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:
  1. Sample variance estimation (1): variance under simple random sampling; variance with clustering and stratification9th May 2016Lecturer: Francesca Gagliardi
  2. Small Area Estimation
    for Official Statistics
    12nd May 2016
    Lecturer: Fabrizio Solari
  3. 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)
  4. Reweighting estimates from European sample surveys18th May 2016Lecturer: Risto Lehtonen (slidesexample)
  5. 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:

Course program (3-9 ECTS)

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:

  1. Opening and introduction
    1st Oct 2015
    Lecturer: Monica Pratesi
  2. The role of statistics
    1st Oct 2015
    Lecturer Luigi Biggeri
  3. The design of policy intervention
    1st Oct 2015
    Lecturer: Luigi Biggeri
  4. Seminar ESS: structure and organization1st Oct 2015Lecturer: Daniela Ghio (slide 1– slide 2 – slide 3)
  5. 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)
  6. The definition of poverty and the goals of its measurement
    8th Oct 2015
    Lecturer: Monica Pratesi
  7. Measurement of poverty, welfare indicators issues on survey design 1
    8th Oct 2015
    Lecturer: Monica Pratesi
  8. National Accounts-Income-Consumption 1
    8th Oct 2015
    Lecturer: Luigi Biggeri
  9. National Accounts-Income-Consumption 28th Oct 2015Lecturer: Luigi Biggeri (file as Lecture 8)
  10. Measurement of poverty, welfare indicators issues on survey design 28th Oct 2015Lecturer: Monica Pratesi (file as Lecture 7)
  11. National Accounts-Income-Consumption 39th Oct 2015Lecturer: Luigi Biggeri
  12. Survey Methods I (survey process, survey errors)
    16th Oct 2015
    Lecturer: Monica Pratesi 
  13. Survey Methods I (survey process, survey errors)22nd Oct 2015Lecturer: Monica Pratesi (file as Lecture 11)
  14. Survey Methods I (survey process, survey errors)23rd Oct 2015Lecturer: Monica Pratesi (file as Lecture 11)
  15. 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
  16. Survey Methods II (sampling process, sampling design, sampling formulas)
    29th Oct 2015
    Lecturer: Monica Pratesi
  17. Survey Methods II (sampling process, sampling design, sampling formulas)30th Oct 2015Lecturer: Monica Pratesi (file as Lecture 14)

Other:

      • Laeken Indicators

Slide

Definitions and calculations (Eurostat Report)

      • Gini Index

La concentrazione

Gini coefficient

      • Poverty Indicators and Big Data:

Small Area Model-Based Estimators Using Big Data Sources

Predicting poverty and wealth from mobile phone metadata

 

Exam

Test assessment results

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