1. Modernization of Social statistics: integrated use of survey and
MEETING OF THE EUROPEAN DIRECTORS OF SOCIAL STATISTICS
Modernization of Social statistics:
integrated use of survey and
administrative data at Istat
Vittoria Buratta
Directorate for Social Surveys and Population Census
Istat
LUXEMBOURG, 2-3 MARCH 2017
BECH BUILDING - ROOM AMPERE

2. OUTLINE Istat modernisation programme Base Registers
Background
Registers system
Istat modernisation programme
The four base registers;
The base register on households and individuals (BRHI)
Base Registers
From one shot census to permanent census
Integrated sampling design for census and social surveys system (Master Sample);
Using of integrated information from different sources (statistic surveys and administrative data) to maximize the quality of the census and of the register BRHI;
Census and Social Surveys Integrated System (CSSIS)
OUTLINE

3. Background
In the last decade, official statistics has undergone a dramatic shift, both in the production model and in its output
The traditional chain, based on the vertical integration of different survey-specific tasks carried out to collect, process, analyse and disseminate statistical data, has become outdated
Since the second half of 2014 Istat has implemented its internal Modernisation Programme, in accordance with both some actions supported by UNECE - High-level Group on the Modernisation of Official Statistics and the European Statistical System commitment to Vision 2020
Istat’s Modernisation Programme was officially approved by the Governing Board on January 28th, 2016

4. The Integrated System of Statistical Registers (ISSR)
Relevant advantage in terms of reduced costs and response burden, while ensuring quality, timeliness and completeness
Large potential because different registers can be linked together on the basis of clearly defined keys
Base registers contain the identifier of the statistical unit
Satellite registers contain thematic variables derived from administrative sources or surveys

5. Modernisation: The base registers

6. Base Register on Individuals and Households (BRIH)
The register-based system is the basis for the Census and Social Surveys Integrated System (CSSI) and for the annual or more frequent demographic statistics
BRIH must ensure the consistency between two successive population estimates and the population’s flows of the usually-resident population (births, deaths and migrations)
BRIH must ensure compliance with the definitions, the requirements of quality and timeliness established by European Regulations on Census and Demographic Statistics
BRIH must be used to meet all user needs and to provide outputs required for monitoring and evaluation of policies both at local and national level
BRIH improves the quality of administrative population registers, in perspective organized in New ANPR System (National administrative Register of Resident Population)

7. Integrated use of Base Registers and surveys
Moving towards:
European “Project on the integration of European social surveys”
ISTAT scenario of Census and Social Surveys Integrated System
European middle term goal:
Development of estimation procedures aimed to produce estimates pooling data from independent surveys for harmonized social variables
ISTAT middle term goal:
Harmonization of survey designs and estimation strategies

8. CSSIS Strategy
Integrated sampling design for census and social surveys (master sample) introducing the two phase scenario instead of the traditional one phase view.
Estimation techniques use an integrated way information from different sources.
Rationalization and harmonization of:
aspects related to fieldwork operations by means of optimization of survey areas and data collection;
variable definition and missing response treatment in social surveys.

9. Highlights Modular statistical system
Variables are split into mutually exclusive groups of variables, called modules.
Modules are divided into instruments
each instrument consists of a fixed set of modules
each module may be present in many instruments.
Data collection for each instrument may take place independently of each other or with different degrees of coordination between them.
The estimation process can take advantage of pooling data from all instruments.
Expected benefits:
Reduced response burden
Increase in terms of precision
Quick and efficient response to emerging needs

10. CSSIS: Synthesis

11. Master Sample Sampling Size
Sampling design components:
area sampling design or sampling design from addresses frame
sampling design from population frame
Areal Componente
Population Frame Component
Municipality sampling size
Household
sampling size
Municipality
Self Representative Municipalities
446
672
Not Self Representative Municipalities
1.380
2.274
TOTAL
1.826
2.946
Number of municipality included in the sample
5.966 .
All the municipalities

12. Social Surveys from now to …
Up to 2017:
Only pooling of sampling data from social surveys is possible :
Sampling data from master sample. Sampling size of master sample is taken large enough to guarantee the achievement of census targets.
From 2022 onward:
The sampling size of master sample may be redesigned due to improvement in the availability and quality of population registers.