Title: The JRC Statistical Audit of the Retail Restrictiveness Indicator
Authors: DOMINGUEZ TORREIRO MARCOSCAPERNA GIULIOSAISANA MICHAELA
Publisher: Publications Office of the European Union
Publication Year: 2018
JRC N°: JRC111579
ISBN: 978-92-79-98382-5 (online)
ISSN: 1831-9424 (online)
Other Identifiers: EUR 29566 EN
OP KJ-NA-29566-EN-N (online)
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC111579
DOI: 10.2760/137321
Type: EUR - Scientific and Technical Research Reports
Abstract: Monitoring the restrictiveness of regulations governing the retail companies may help to induce a positive dynamic leading to more open and competitive retail markets in the EU. The Commission services have developed for the first time the monitoring framework for the Retail Restrictiveness Indicator, which is made of 14 types of restrictions, two sub-pillars, two pillars and one overall index across the 28 EU Member States. This exercise inevitably entails both conceptual and practical challenges. The statistical audit discussed in this note was conducted by the European Commission’s Joint Research Centre (JRC), and it aims at maximising the reliability and transparency of the Retail Restrictiveness Indicator framework. It should enable policy analysts and researchers alike to draw more relevant, meaningful and useful conclusions from the results presented in the Staff Working Document accompanying the Commission Communication on a European retail sector fit for the 21st century. The present statistical assessment of the Retail Restrictiveness Indicator focuses on two main aspects: • The statistical coherence of the indicator framework, and; • The impact of key modelling assumptions on the overall scores and ranks. This JRC analysis complements the reported Retail Restrictiveness Indicator results for the EU Member States – namely those for the two main pillars, the Establishment restrictions and Operations restrictions - with estimated confidence intervals, in order to better appreciate the robustness of the results to key modelling choices (such as choice of the weights and the aggregation formula).
JRC Directorate:Joint Research Centre Corporate Activities

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