Image from Google Jackets

Chapter Economic inequality in preindustrial Europe, 1300-1800: methods and results from the EINITE project

Material type: TextTextLanguage: English Series: Publication details: Florence Firenze University Press 2020Description: 1 online resource (16 p.)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 978-88-5518-053-5.07
  • 9788855180535
Subject(s): Online resources: Summary: This article provides an overview of the research done in recent years by the ERC-funded projects EINITE-Economic Inequality across Italy and Europe 1300-1800, and SMITE-Social Mobility and Inequality across Italy and Europe 1300-1800. It begins by discussing the sources available for reconstructing preindustrial economic inequality, especially in Italy, then it provides an overview of the methods which have been developed to produce reliable and homogenous information about inequality levels and trends. The method developed by EINITE to produce measures or distributions representative of broader aggregates (regions or entire states) is also discussed, as well as the techniques that can be employed to explore in a meaningful way such distributions to answer relevant historical questions.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Open Access Unrestricted online access star

This article provides an overview of the research done in recent years by the ERC-funded projects EINITE-Economic Inequality across Italy and Europe 1300-1800, and SMITE-Social Mobility and Inequality across Italy and Europe 1300-1800. It begins by discussing the sources available for reconstructing preindustrial economic inequality, especially in Italy, then it provides an overview of the methods which have been developed to produce reliable and homogenous information about inequality levels and trends. The method developed by EINITE to produce measures or distributions representative of broader aggregates (regions or entire states) is also discussed, as well as the techniques that can be employed to explore in a meaningful way such distributions to answer relevant historical questions.

Creative Commons https://creativecommons.org/licenses/by/4.0/ cc

https://creativecommons.org/licenses/by/4.0/

English

There are no comments on this title.

to post a comment.
Share

Visitor Counter

Visit counter For Websites