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Small Area Methods and living conditions indicators in European poverty studies in the era of data deluge and Big data
Pisa, 8-10 May 2018
Polo Le Benedettine, Lungarno Sidney Sonnino 19 – Pisa (italy)
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Participation to at least one Table is required
8 may 14:00-19:00
Opening and welcome
14:30-15:30 Keynote 1 Session
Joao Pedro Wagner De Azevedo (World Bank)
European poverty studies at local level
16:00-17:00 Table 1
Monitoring poverty at a local level
why is it important?
17:00-18:00 Table 2
Multidimensional poverty at a local level
how to synthetize the dimensions?
18:00-19:00 Poster session and Aperitif


9 May 9:00-19:00
09:30-10:30 Keynote 2 Session
Partha Lahiri
(University of Maryland)
Data needs: SAE methods in official data production for policy making
11:30-12:30 Table 3
New and traditional data sources for local indicators
reconciling small areas and big data?
14:00-15:00 Table 4
Statistical quality of small area estimates
internal and external validation of the estimates?
15:30-17:30 Contributed paper sessions
17:30-19:00 Poster session and Aperitif
20:00 Social dinner (at own cost)
food restriction


10 May 9:00-17:00
9:30-10:30 Keynote 3 Session
Luigi Biggeri (Centre ASESD - Dagum)
The computation of sub-national PPPs for the study of inequalities at a local level in monitoring
11:00-12:30 Makswell Session
Makswell actual results and plan for the future, reflection on the research themes for FP9
14:00-15:00 Table 5
Discussion on Project Makswell and reflection on the research themes for FP9
15:30-16:30 Final Panel discussion
How is policy-making enhanced by measuring poverty and living conditions at a local level?
Closing and farewell


The Committee invites submissions of contributed papers/posters on the area of interest within April 6th, 2018, both theoretical and applied, and they will be included in the program after acceptance.

I’m a keynote/table panelist/panelist and I will submit an abstract for the book of abstract
I will submit an abstract for the contributed paper/poster session
I will not submit an abstract




Dipartimento di Economia e Management
via Cosimo Ridolfi, 10
56124 Pisa