Contribution of Relational DataBase Management System to Cliometrics

L'intérêt des systèmes de gestion de bases de données relationnels en cliométrie

Claude Diebolt and Karine Pellier
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Karine Pellier: LAMETA - Laboratoire Montpelliérain d'Économie Théorique et Appliquée - UM1 - Université Montpellier 1 - UPVM - Université Paul-Valéry - Montpellier 3 - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier

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Abstract: Often in historical research the empirical validation of theoretical assumptions requires the handling of an important volume of data. Once collected, these data should be structured in order to facilitate their conservation or use. The use of the Relational DataBase Management System (RDBMS), efficient and easy to handle, becomes therefore indispensable. The aim of this article is precisely to describe the organization of data used as support for cliometric or econometric analysis. The paper details the stages of the creation of a database with the main ambition is to store, organize and structure economic and demographic time series resulting from various countries during the 19th and 20th century. Our framework, even based on a precise example, can be generalized to other data management tasks.

Date: 2006
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Published in Économies et sociétés, 2006, pp.1121-1136

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00279369

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