I dati amministrativi per la valutazione delle politiche: riscontri dall'esperienza piemontese sul FSE
Academic Article
Publication Date:
2014
abstract:
The impact assessment of social and labour policies is mainly based on direct
inquiry on their recipients. In the case of net impact assessments, one has to observe
a group of untreated individuals that is very homogeneous with respect to
the treated. However, the very high cost of direct surveys limits their scope, as it
prevents large sample size, hindering the reliability of estimates. The access to
databases created for different purposes (fiscal, administrative, monitoring) could
overcome the above limitations, with much convenience in terms of cost and data
quality. This paper presents a validation exercise based on a very broad and
complex employment database, the Comunicazioni Obbligaorie (COB), that collects
employers' compulsory notifications in the case of changes in a job contract.
This exercise was possible thanks to an extraordinary condition, giving
contemporaneous access to two different data sources, the COB database and a
direct survey on recipients of vocational training policies in the Piedmont Region.
The paper discusses the main differences between employment indicators
evaluated on direct survey data and on COB data. Inconsistencies involve the
20% sample. In addition, such inconsistencies do distort the net impact assessment,
since the key variables for placement outcomes vary significantly.
Hence, whenever administrative databases are used as a source for socioeconomic
analyses, extreme caution and critical thinking must be used, verifying
the reliability of estimates deriving from their use and comparing results with
other sources. In the lack of such preliminary validation, which should be carried
out in close collaboration with the regional or national authorities managing the
information systems, we run the risk not only to uncritically accept information
producing systematic bias, but also to prevent the development of procedures
that are essential for the system development.
Iris type:
01.01 Articolo in rivista
Keywords:
Impact Assessment; Validation; Administrative Data; Survey; Multivariate Analysis
List of contributors:
Ragazzi, ELENA MARIA; Sella, Lisa
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