Life courses

Dutch Lives. The Historical Sample of the Netherlands (1987−): Development and Research

The HSN was initiated during the period 1987−1989 when an interdisciplinary and interuniversity group of Dutch scholars started discussing the foundation of one large database with data on individuals. Building one general prospective database with multiple research possibilities was considered as the only way to realize a cost-effective and properly documented tool for historical research from economic, social, demographic, epidemiological and geographic perspective. The birth registration was considered the most adequate sample framework.

Introduction: Urban-Rural Differences in Historical Demography

Systematic research on urban-rural variation in demographic behavior is necessary to overcome dichotomous views resulting from studying cities and the countryside separately. After all, a web of interactions facilitating the diffusion of ideas and behavior connects cities and rural areas. That is why it is especially important to study the comportment of migrants moving between urban and rural environments.

STATA Programs for Using the Intermediate Data Structure (IDS) to Construct Files for Statistical Analysis

The Intermediate Data Structure (IDS) provides a common structure for storing and sharing historical demographic data. The structure also facilitates the construction of different open-access software to extract information from these tables and construct new variables. The article Using the Intermediate Data Structure (IDS) to Construct Files for Analysis (Quaranta 2015) presented a series of concepts and programs that allow the user to construct a rectangular episodes file for longitudinal statistical analysis using data stored in the IDS.

Using the Intermediate Data Structure (IDS) to Construct Files for Statistical Analysis

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.

The Intermediate Data Structure (IDS) for Longitudinal Historical Microdata, version 4

The Intermediate Data Structure (IDS) is a standard data format that has been adopted by several large longitudinal databases on historical populations. Since the publication of the first version in Historical Social Research in 2009, two improved and extended versions have been published in the Collaboratory Historical Life Courses. In this publication we present version 4 which is the latest ‘official’ standard of the IDS.

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