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DIECOFIS

Diecofis is the acronym for Development of a System of Indicators on Economic COmpetitiveness and  FIScal Impact on Enterprise Performance. This research project falls within the Information Society Technologies Programme (IST) in the Fifth Framework Programme of EU (FP5)
 

OBJECTIVES
This project chart and pioneer problems, issues and methodologies for the development of a system of indicators on competitiveness and fiscal impact on enterprise performance. It deals with issues such as the following:(i) development a high quality comprehensive and robust multi-source, integrated and systematised data base, which can be relied upon for a broad range of micro-founded statistical indicators, with focus on e- and non e sectors; (ii) creation of enterprise data sets for microsimulation purposes, specifically to simulate and monitor the impact of public policy on enterprise performance, that are flexibly modulated according to whether one wishes to simulate national or other EU member or EU-wide policies; and (iii) creation of consistently built national policy models, that can easily be integrated into any country tax algorithms, to see what effects one country’s rules would produce if applied in any country, or to investigate the impact of EU policies across member countries taking into account their specialization and socio-economic structures.
 

DESCRIPTION OF WORK
The work is shaped around three components:
(1) creation of a multisource integrated and systematized database and related issues. This is organized in three work packages. The first consists of a review of different types of longitudinal and cross-sectional data bases; their pitfalls and drawbacks, related statistical issues (quality, linkage problems, etc.), when applied to the analysis of heterogeneity and dynamics of firm universe, specifically exhaustive surveys and administrative register data covering the entire population of corporate firms and sample surveys for SME. The second consists in the development of robust data-marts of a flexible user-friendly software and for the treatment of non response. The third consists in the development of software for the computation of quality indicators and test hypothesis;
(2) creation of datasets for microsimulation purposes. This implies the solution of four problems: (i) data validation; (ii) incompleteness; (iii) updates and projection; (iv) data quality and methodology for sensitivity analysis;
(3) development of a system of indicators on effectiveness and impact of public policy, with focus on e- and non e-sectors. This consists of five work packages. The first implies (i) the conceptualization and development of the indicators and general framework for national modules required to build-in sufficient flexibility to accommodate and integrate different databases, fiscals rules, elements of the simulation process and model output, respecting and recognizing levels of confidentiality; (ii) the development of tax bases modules; (iii) the development of the tax schedule modules and other provision; (iv) solution to cross-linkages problems and possibility of applying national modules to other countries as well to EU level; and, finally, (v) issue of compliance. Building on the experience of each member of the consortium, and the specificities of each country involved in the project, issues, problems and methods are examined, pioneered and tested with a view to set guidelines and learn from experience that can serve as a basis for developing a EU-wide exercise.

MILESTONES AND EXPECTED RESULTS
The project contributes to advance specifically in three areas: 1) development of a system of indicators on competitiveness that can be used to benchmark enterprise performance, distinguishing between e- and non e-sectors; 2) development of a first generation of microsimulation models that can serve to monitor and simulate the impact of public policy on enterprises with different characteristics or belonging to different sectors; 3) development of integrated data bases of micro enterprise data bases that can serve to generate indicators by means of algorithms or model.

 

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