Regulatory capture. A bayesian framework for process tracing (notice n° 561047)

détails MARC
000 -LEADER
fixed length control field 01504cam a2200217 4500500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250121123739.0
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title fre
042 ## - AUTHENTICATION CODE
Authentication code dc
100 10 - MAIN ENTRY--PERSONAL NAME
Personal name Benoît, Cyril
Relator term author
245 00 - TITLE STATEMENT
Title Regulatory capture. A bayesian framework for process tracing
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2018.<br/>
500 ## - GENERAL NOTE
General note 77
520 ## - SUMMARY, ETC.
Summary, etc. This article examines the phenomenon of regulatory capture, using the regulation of pharmaceuticals as its case study. We shall examine an empirical situation where quantitative data is available for a large sample, and where the objective is identifying causal mechanisms through an in-depth analysis of a smaller number of cases. We shall elaborate a Bayesian framework for process tracing which we shall then use to examine the development of two agencies, located in France and England respectively. This approach shall allow us to identify a number of institutional dependencies which would have otherwise been difficult to detect through an initial statistical analysis. These dependencies provide a better explanation for the design of the regulatory schemes under study than the capture argument.
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element regulatory capture
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element process tracing
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element pharmaceutical industry
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element public policy
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element Bayesian inference
786 0# - DATA SOURCE ENTRY
Note Revue française de science politique | 68 | 6 | 2018-12-04 | p. 1039-1060
856 41 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://shs.cairn.info/journal-revue-francaise-de-science-politique-2018-6-page-1039?lang=en&redirect-ssocas=7080">https://shs.cairn.info/journal-revue-francaise-de-science-politique-2018-6-page-1039?lang=en&redirect-ssocas=7080</a>

Pas d'exemplaire disponible.

PLUDOC

PLUDOC est la plateforme unique et centralisée de gestion des bibliothèques physiques et numériques de Guinée administré par le CEDUST. Elle est la plus grande base de données de ressources documentaires pour les Étudiants, Enseignants chercheurs et Chercheurs de Guinée.

Adresse

627 919 101/664 919 101

25 boulevard du commerce
Kaloum, Conakry, Guinée

Réseaux sociaux

Powered by Netsen Group @ 2025