Assessing regulators fairly: matching scientific knowledge with impact assessments

Research output: Contribution to journalArticle

Abstract

Retrospective analyses, regulatory performance measures and scorecards have been used for assessing the quality of impact assessments. However, these methods neglect the actual scientific knowledge available at the time of conducting a specific policy appraisal and do not enable to capture the extent of diachronic learning related to a specific regulatory reform. By focusing on the EU rail liberalisation, the aim of this paper is to assess the quality of economic analyses within impact assessments vis-à-vis the quality of scientific knowledge. The research design is straightforward. A review of the economic literature traces the progress in the scientific methods for evaluating the economic impact of rail liberalisation. By matching such scientific knowledge with the knowledge expressed in the practice of impact assessment, the main hypothesis to test is whether economic models are fully exploited by policy evaluators. The contribution of the paper is two-fold: on the one hand, it enhances the methodology for regulatory policy evaluation and, on the other hand, it contributes to the literature of the use of scientific knowledge in policy making.
Translated title of the contributionAssessing regulators fairly: matching scientific knowledge with impact assessments
LanguageFrench
Pages131-151
Number of pages20
JournalPolitiques et Management Public
Volume35
Issue number3-4
DOIs
Publication statusPublished - 1 Dec 2018

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knowledge
liberalization
regulatory policy
economic model
economic impact
research planning
economics
neglect
EU
reform
methodology
evaluation
learning
performance
literature
time

Keywords

  • European Commission
  • rail liberalisation
  • quality of impact assessments
  • retrospective analyses

Cite this

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title = "{\'E}valuer les r{\'e}gulateurs {\'e}quitablement: Associer les connaissances scientifiques aux {\'e}valuations d'impact",
abstract = "Retrospective analyses, regulatory performance measures and scorecards have been used for assessing the quality of impact assessments. However, these methods neglect the actual scientific knowledge available at the time of conducting a specific policy appraisal and do not enable to capture the extent of diachronic learning related to a specific regulatory reform. By focusing on the EU rail liberalisation, the aim of this paper is to assess the quality of economic analyses within impact assessments vis-{\`a}-vis the quality of scientific knowledge. The research design is straightforward. A review of the economic literature traces the progress in the scientific methods for evaluating the economic impact of rail liberalisation. By matching such scientific knowledge with the knowledge expressed in the practice of impact assessment, the main hypothesis to test is whether economic models are fully exploited by policy evaluators. The contribution of the paper is two-fold: on the one hand, it enhances the methodology for regulatory policy evaluation and, on the other hand, it contributes to the literature of the use of scientific knowledge in policy making.",
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journal = "Politiques et Management Public",
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AB - Retrospective analyses, regulatory performance measures and scorecards have been used for assessing the quality of impact assessments. However, these methods neglect the actual scientific knowledge available at the time of conducting a specific policy appraisal and do not enable to capture the extent of diachronic learning related to a specific regulatory reform. By focusing on the EU rail liberalisation, the aim of this paper is to assess the quality of economic analyses within impact assessments vis-à-vis the quality of scientific knowledge. The research design is straightforward. A review of the economic literature traces the progress in the scientific methods for evaluating the economic impact of rail liberalisation. By matching such scientific knowledge with the knowledge expressed in the practice of impact assessment, the main hypothesis to test is whether economic models are fully exploited by policy evaluators. The contribution of the paper is two-fold: on the one hand, it enhances the methodology for regulatory policy evaluation and, on the other hand, it contributes to the literature of the use of scientific knowledge in policy making.

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