Abstract

 
 
 The use of longitudinal historical micro-level demographic data for research presents many challenges. The Intermediate Data Structure (IDS) was developed to try to solve some of these challenges by facilitating the storing and sharing of such data. This article proposes an extension to the IDS, which allows the standardization and storage of constructed variables. It also describes how to produce a rectangular episodes file for statistical analysis from data stored in the IDS and presents programs developed for such purpose.
 
 
Highlights
Over the past decades the field of historical demography has greatly expanded and many important findings have been discovered
These solutions and programs can be used to extract a dataset for analysis linked to any type of research question dealing with longitudinal analysis, as long as the data has been transformed into the Intermediate Data Structure (IDS)
The IDS consists of five main tables: INDIVIDUAL which is used to store information relating to individuals; INDIV_INDIV which defines relationships between individuals; CONTEXT which defines geographical contexts and contains information about them; CONTEXT_CONTEXT which defines contexts that are nested in other higher level contexts; INDIV_CONTEXT which defines spells of times during which individuals are present in a specific context
Summary
Historical Life Course Studies is the electronic journal of the European Historical Population Samples Network (EHPS-Net). The journal is the primary publishing outlet for research involved in the conversion of existing European and non-European large historical demographic databases into a common format, the Intermediate Data Structure, and for studies based on these databases. The journal publishes both methodological and substantive research articles. The European Historical Population Samples Network (EHPS-net) brings together scholars to create a common format for databases containing non-aggregated information on persons, families and households. Using the Intermediate Data Structure (IDS) to Construct Files for Statistical Analysis
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
