Diapositiva 1

1
Combining administrative and survey data
potential benefits and impact on editing and
imputation for a structural business survey
De Giorgi V., Luzi O., Oropallo F., Seri G.,
Siesto G.
ISTAT, Italy
UNECE Work Session on Statistical Data
Editing Ljubljana, 9-11 May 2011
2
UNECE Work Session on Statistical Data Editing

Combining administrative and survey data
potential benefits and impact on editing and
imputation for a structural business survey

• Outline
• Background
• The Istat re-design project for SBS
• Paper contents
• Some results / conclusions

Ljubljana, 9-11 May 2011
3
UNECE Work Session on Statistical Data Editing

Combining administrative and survey data
potential benefits and impact on editing and
imputation for a structural business survey
Background European Regulation on Structural
Business Statistics (SBS) (March 2008) states
that MSs can integrate data available in
different information sources, including
administrative data, to reduce statistical burden
on enterprises and production costs MEETS
program (Modernisation of European Enterprises
and Trade Statistics) approved by the European
Council and Parliament (Dec 2008) in order to
..promote efficiency within the ESS moving
towards a more integrated and efficient
statistical system, reviewing the production
methods and foster a dynamic approach to
achieving cost efficiency
lLjubljana, 9-11 May 2011
4
UNECE Work Session on Statistical Data Editing

Combining administrative and survey data
potential benefits and impact on editing and
imputation for a structural business survey

• The Istat re-design project for SBS
• Completely revise the SBS production system,
  moving from the current production model (where
  admin data are mainly used to integrate
  statistical survey data) to a new integrated
  system (where admin data represent the core of
  information on SBS and direct surveys supply
  complementary information on specific
  sub-populations and/or economic variables), in
  order to save costs and reduce statistical burden
  on enterprises

• The Italian economic system is characterized by a
  large amount of small and medium enterprises
  (SMEs) (number of employeeslt100)
• 95 of the Italian enterprises
• sum up for
• 47 of Total Employees
• 27 of Total Turnover
• 33 of Total Value Added

lLjubljana, 9-11 May 2011
5
UNECE Work Session on Statistical Data Editing

Combining administrative and survey data
potential benefits and impact on editing and
imputation for a structural business survey
The Istat re-design project for SBS Explored
administrative sources for the economic
variables of SME Italian Statistical Business
Register (BR) resulting from the integration of
data from statistical and administrative sources
(Tax Register, Social Security Register, Register
of the Electric Power Board, etc.) Financial
Statements (FS) cover corporate enterprises are
collected by the Chambers of Commerce ( 650,000
companies covering less than 20 of the BR, and
57 in terms of persons employed) Sector
Studies (SS) Survey carried out by the Italian
Fiscal Authority to collect enterprises detailed
costs and income items (4 million enterprises
having the 30,000 Turnover 7,5 million euro)
lLjubljana, 9-11 May 2011
6
UNECE Work Session on Statistical Data Editing

Combining administrative and survey data
potential benefits and impact on editing and
imputation for a structural business survey
Potential data/process flow in the new
integrated SME production process
Ljubljana, 9-11 May 2011
7
UNECE Work Session on Statistical Data Editing

Combining administrative and survey data
potential benefits and impact on editing and
imputation for a structural business survey
Paper contents Illustrate preliminary
exploratory analyses and experimental results on
FS and SS aiming to

• Assess the usability and quality of available
  administrative sources for estimating key
  variables for the SME population
• Obtain information on potential EI
  costs/benefits deriving from integrating
  administrative and survey data on SMEs

Ljubljana, 9-11 May 2011
8
UNECE Work Session on Statistical Data Editing

Combining administrative and survey data
potential benefits and impact on editing and
imputation for a structural business survey

• Analysed quality dimensions of admin sources
• Coverage
• Covered SME population
• Potential impact on estimates due to the direct
  replacement of statistical data with admin data
• Accuracy (at elementary and distributional
  level)
• Completeness
• Available consistent variables (in terms of
  definitions) in the source
• Potential impact on estimates due to imputation
  of item non responses

Priorities can be assigned to sources based on
these criteria (e.g. in case of overlapping
units/variables in different sources)
Ljubljana, 9-11 May 2011
9
UNECE Work Session on Statistical Data Editing

Combining administrative and survey data
potential benefits and impact on editing and
imputation for a structural business survey
SME target population coverage (percent) of FS
and SS, in terms of number of enterprises (ENT)
and number of employees (EMP) by economic
activity (Year 2007)
Ljubljana, 9-11 May 2011
10
UNECE Work Session on Statistical Data Editing

Combining administrative and survey data
potential benefits and impact on editing and
imputation for a structural business survey
Variable Changes in stocks of finished products
and work in progress potential impact of
missing data imputation by domain (2 digits
Naces code) and imputation method (Year 2007)
(Mean) Relative Estimation Error due to
Imputation/Estimation
Ljubljana, 9-11 May 2011
11
Combining administrative and survey data
potential benefits and impact on editing and
imputation for a structural business survey
Conclusions Results obtained so far, partially
presented in the paper, confirm the high quality
of the analyzed admin sources in terms of
accessibility, coverage and accuracy It is
expected that in the new SME production system,
additional validation activities due to the
direct use admin in combination with survey data
will be highly compensated by costs and burden
reduction Additional research is needed
particularly on the side of sampling strategy and
questionnaire design for the new SME sample
survey The preliminary process implementation is
planned by the end of 2011
UNECE Work Session on Statistical Data
Editing Ljubljana, 9-11 May 2011