Historical Life Course Studies https://hlcs.nl/ <p><em>Historical Life Course Studies</em> is the electronic journal of the European Historical Population Samples Network (EHPS-Net) and is published by the International Institute of Social History (IISH). 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.</p> en-US ehps-journal@iisg.nl (Marja Koster) info@openjournals.nl (Editorial Support) Wed, 01 Jan 2020 00:00:00 +0100 OJS http://blogs.law.harvard.edu/tech/rss 60 Building Longitudinal Datasets From Diverse Historical Data in Australia https://hlcs.nl/article/view/10939 <p>Australia is rich in population datasets generated to manage convicts, civilians, stock, land and the colonised and displaced First Nations people. It has also preserved all service and pension data from both world wars. Through nominal linkage using volunteers and paid research staff, it has been possible over the past twenty years to build four cradle-to-grave datasets derived from administrative cohorts: poor white babies born in a charity hospital 1858–1900; Aboriginal Victorians from 1855 to 1988; convicts transported to Van Diemen’s Land 1818-1853 and servicemen who embarked for World War I from the State of Victoria. The abundance of digitised historical sources from government archives to historical newspapers enables the practice of demographic prosopography, with a wide range of variables that have yielded new insights into Australia’s population and social history.</p> Janet McCalman Copyright (c) 2021 Janet McCalman https://creativecommons.org/licenses/by/4.0 https://hlcs.nl/article/view/10939 Tue, 10 Aug 2021 00:00:00 +0200 Reconstructing a Longitudinal Dataset for Tasmania https://hlcs.nl/article/view/10912 <p>This article describes the formation of The Tasmanian Historical Dataset a longitudinal data resource spanning the 19th and early 20th century. This resource contains over 1.6 million records drawn from digitised prison and hospital admission registers, military enlistment papers, births, deaths and marriages, census and muster records, arrival and departure lists, bank accounts and property valuations, maps and plans and meteorological observations. As well as providing an account of the many different sources that have been digitised coded and linked as part of this initiative, the article outlines current and past research uses to which this data has been put. Further information on tables and key variables is provided in an appendix.</p> Trudy Cowley, Lucy Frost, Kris Inwood, Rebecca Kippen, Hamish Maxwell-Stewart, Monika Schwarz, John Shepherd, Richard Tuffin, Mark Williams, John Wilson, Paul Wilson Copyright (c) 2021 Trudy Cowley, Lucy Frost, Kris Inwood, Rebecca Kippen, Hamish Maxwell-Stewart, Monika Schwarz, John Shepherd, Richard Tuffin, Mark Williams, John Wilson, Paul Wilson https://creativecommons.org/licenses/by/4.0 https://hlcs.nl/article/view/10912 Mon, 16 Aug 2021 00:00:00 +0200 The Long Road to Health and Prosperity, Southern Sweden, 1765-2015. Research Contributions From the Scanian Economic-Demographic Database (SEDD) https://hlcs.nl/article/view/10941 <p>The Scanian Economic-Demographic Database (SEDD) at the Centre for Economic Demography (CED), Lund University was built to answer questions derived from previous research using macro data from 1749 onwards. It includes longitudinal micro data for a regional sample of rural, semi-urban, and urban parishes in southern Sweden from 1646 to 1968 for approximately 175,000 individuals. In addition to the data on births, deaths, marriages, and occupations, it includes data on migration, household size, landholdings, taxation, and heights from the 1800s onwards and on income from 1865 onwards. After being linked from 1968 to 2015 to a range of national registers with detailed demographic and socioeconomic information, it includes 825,000 individuals. The richness and wide range of micro data have allowed researchers to follow individuals throughout their lives and across generations, covering extensive periods, and to make comparisons with results from macro data. This research has partly confirmed the established view on long-term changes in living standards and demographics in Sweden but has also brought into question some previously held truths.</p> Tommy Bengtsson, Martin Dribe Copyright (c) 2021 Tommy Bengtsson, Martin Dribe https://creativecommons.org/licenses/by/4.0 https://hlcs.nl/article/view/10941 Tue, 21 Sep 2021 00:00:00 +0200 The Utah Population Database. The Legacy of Four Decades of Demographic Research https://hlcs.nl/article/view/10916 <p>This paper summarizes the unique characteristics of the Utah Population Database (UPDB) and how it has catalyzed demographic, social and medical research since the mid-1970s. The UPDB is one of the world’s richest sources of linked population-based information for demographic, genetic, and epidemiological studies at the Individual-level. UPDB has supported hundreds of demographic and biomedical investigations, with heavy emphasis on families, in large part because of its size, representativeness, inclusion of multi-generational pedigrees, and linkages to numerous data sources. The UPDB contains data on over 11 million individuals from the late 18th century to the present. UPDB data represent Utah’s population that appear in administrative records and many of these data are updated due to longstanding efforts to add records as they become available including statewide birth and death certificates, hospitalizations, ambulatory surgeries, and driver licenses. The depth of information within UPDB has been used to support a wide range of family, medical and historical demographic studies which are described here arranged into four broad categories: fertility, mortality, life course analyses and some selected special topics. The paper concludes with a discussion of the future areas of innovation within the UPDB and the types of novel studies that they are likely to facilitate.</p> Ken. R. Smith, Geraldine P. Mineau Copyright (c) 2021 Ken. R. Smith, Geraldine P. Mineau https://creativecommons.org/licenses/by/4.0 https://hlcs.nl/article/view/10916 Tue, 14 Sep 2021 00:00:00 +0200 The Richness of Italian Historical Demography https://hlcs.nl/article/view/9304 <p>In this paper, we present a new methodology for the reconstruction of individual life-histories based on information derived from the integration of different parish registers. This methodology makes it possible to associate the sequence and timing of demographic events not only with the structural features of the households in which they occurred, but also with more general historical context and the economic factors that shaped the lives of people and households. All these elements are then evaluated in a dynamic and temporal perspective, allowing the adoption of a longitudinal approach in the analysis of demographic processes for historical populations.</p> Marco Breschi, Alessio Fornasin, Matteo Manfredini Copyright (c) 2021 Marco Breschi, Alessio Fornasin, Matteo Manfredini https://creativecommons.org/licenses/by/4.0 https://hlcs.nl/article/view/9304 Tue, 15 Dec 2020 00:00:00 +0100 A Longitudinal Historical Population Database in Asia. The Taiwanese Historical Household Registers Database (1906–1945) https://hlcs.nl/article/view/9300 <p>For the past 35 years, the Taiwan Historical Household Registers Database (THHRD) has been significant for historical demographic research on Asia. In recent years, researchers have continued adding new demographic information to the database. This allows for the expansion of research on the topic of historical households in the region. However, there are still many issues to address in the field of Asian historical demography. This paper provides a brief introduction on the uses of THHRD for future research.</p> Chia-chi Lin, Shu-juo Chen, Ying-chang Chuang, Wen-shan Yang, James Wilkerson, Ying-hui Hsieh, Ko-hua Yap, Yu-lin Huang Copyright (c) 2021 Chia-chi Lin, Shu-juo Chen, Ying-chang Chuang, Wen-shan Yang, James Wilkerson, Ying-hui Hsieh, Ko-hua Yap, Yu-lin Huang https://creativecommons.org/licenses/by/4.0 https://hlcs.nl/article/view/9300 Mon, 14 Dec 2020 00:00:00 +0100 The 2020 IDS Release of the Antwerp COR*-Database. Evaluation, Development and Transformation of a Pre-Existing Database https://hlcs.nl/article/view/9301 <p>The Antwerp COR*-IDS database 2020 is a transformed and harmonized historical demographic database in a cross-nationally comparable format designed to be open and easy to use for international researchers. The database is constructed from the 2010 release of the Antwerp COR*-historical demographic database, which was created using a letter sample of the whole district of Antwerp (Flanders, Belgium). It has a total sample size of +/- 33,000 residents of Antwerp. The sample spans nearly seven decades. The data is collected from historical records: including population registers and vital registration records covering births, marriages, in/external migrations and deaths. The database covers up to three linked generations (in some cases more), and contains micro-data on individual level life courses, and relationships deriving from addressbased household composition methods. An important characteristic is the sample's large migrant population, including the timings of their demographic events and living arrangements, whilst resident in the district of Antwerp. In addition, the sample also contains a large array of occupational level information. This paper presents the processes, methodologies and documentation regarding the evaluation and development of a pre-existing historical database. This includes the systematic evaluation of the original samples, methodologies for address based reconstructing of households, and the geocoding of a historical database which took place during the current development of this new version of the database.</p> Sam Jenkinson, Francisco Anguita, Diogo Paiva, Hideko Matsuo, Koen Matthijs Copyright (c) 2021 Sam Jenkinson, Francisco Anguita, Diogo Paiva, Hideko Matsuo, Koen Matthijs https://creativecommons.org/licenses/by/4.0 https://hlcs.nl/article/view/9301 Tue, 08 Dec 2020 00:00:00 +0100 A Database for the Future https://hlcs.nl/article/view/9305 <p>The Demographic Data Base (DDB) at the Centre for Demographic and Ageing Research (CEDAR) at Umeå University has since the 1970s been building longitudinal population databases and disseminating data for research. The databases were built to serve as national research infrastructures, useful for addressing an indefinite number of research questions within a broad range of scientific fields, and open to all academic researchers who wanted to use the data. A countless number of customised datasets have been prepared and distributed to researchers in Sweden and abroad and to date, the research has resulted in more than a thousand published scientific reports, books, and articles within a broad range of academic fields. While there has long been a clear predominance of research within the humanities and social sciences, it has always been used for research in other fields as well, for example medicine. In this article, we first give a brief presentation of the DDB and its history, characteristics, and development from the 1970s to the present. It includes an overview of the research based on the DDB databases, with a focus on the databases POPUM and POPLINK with individual-level data. A number of major traits of the research from 1973 to now have been outlined, showing the breadth of the research and highlighting some major contributions, with a focus on work that would have been very difficult to perform without data from the DDB.</p> Sören Edvinsson, Elisabeth Engberg Copyright (c) 2021 Sören Edvinsson https://creativecommons.org/licenses/by/4.0 https://hlcs.nl/article/view/9305 Thu, 03 Dec 2020 00:00:00 +0100 The Scanian Economic-Demographic Database (SEDD) https://hlcs.nl/article/view/9302 <div class="field field-name-body field-type-text-with-summary field-label-above"> <div class="field-items"> <div class="field-item even"> <p>The Scanian Economic-Demographic Database (SEDD) is a high-quality longitudinal data resource spanning the period 1646-1967. It covers all individuals born in or migrated to the city of Landskrona and five rural parishes in western Scania in southern Sweden. The entire population present in the area is fully covered after 1813. At the individual level, SEDD combines various demographic and socioeconomic records, including causes of death, place of birth and geographic data on the place of residence within a parish. At the family level, the data contain a combination of demographic records and information on occupation, landholding and income. The data for 1813-1967 was structured in the model of the Intermediate Data Structure (IDS). In addition to storing source data in the SEDD IDS tables, a wide range of individual- and context-level variables were constructed, which means that most types of analyses using SEDD can be conducted without the need of further elaboration of the data. This article discusses the source material, linkage methods, and structure of the database.</p> </div> </div> </div> Martin Dribe, Luciana Quaranta Copyright (c) 2021 Martin Dribe, Luciana Quaranta https://creativecommons.org/licenses/by/4.0 https://hlcs.nl/article/view/9302 Thu, 12 Nov 2020 00:00:00 +0100 Historical Chinese Microdata. 40 Years of Dataset Construction by the Lee-Campbell Research Group https://hlcs.nl/article/view/9303 <p>The Lee-Campbell Group has spent forty years constructing and analysing individual-level datasets based largely on Chinese archival materials to produce a scholarship of discovery. Initially, we constructed datasets for the study of Chinese demographic behaviour, households, kin networks, and socioeconomic attainment. More recently, we have turned to the construction and analysis of datasets on civil and military officials and other educational and professional elites, especially their social origins and their careers. As of July 2020, the datasets include nominative information on the behaviour and life outcomes of approximately two million individuals. This article is a retrospective on the construction of these datasets and a summary of their findings. This is the first time we have presented all our projects together and discussed them and the results of our analysis as a single integrated whole. We begin by summarizing the contents, organization, and notable features of each dataset and provide an integrated history of our data construction, starting in 1979 up to the present. We then summarize the most important results from our research on demographic behaviour, family, and household organization, and more recently inequality and stratification. We conclude with a reflection on the importance of data discovery, flexibility, interaction and collaboration to the success of our efforts.</p> Cameron Campbell, James Lee Copyright (c) 2021 Cameron Campbell , James Lee https://creativecommons.org/licenses/by/4.0 https://hlcs.nl/article/view/9303 Thu, 10 Sep 2020 00:00:00 +0200 An Overview of the BALSAC Population Database. Past Developments, Current State and Future Prospects https://hlcs.nl/article/view/9299 <p>The BALSAC database, developed since 1971, contains data on the Quebec population from the beginnings of European settlement in the 17th century to the contemporary period. Today, BALSAC is a major research infrastructure used by researchers from Quebec and elsewhere, both in the social sciences and in the biomedical sciences. This paper presents the evolution and current state of the database and offers a perspective on forthcoming developments. BALSAC contains marriage certificates until 1965. Coverage is complete for Catholic records (80 to 100% of the population depending on the region and the period) and partial for the other denominations. Birth and death certificates from all Catholic parishes have been integrated for the period 1800–1849 and work in underway for 1850–1916. All the records entered in BALSAC are subject to a linkage process which, ultimately, allows the automatic reconstitution of genealogical links and family relationships. The basic principle has remained the same since the beginning, namely to match individuals based on the nominative information contained in the sources. The changes made in recent years and the resulting gains are mostly related to IT advances which now offer more flexibility and increased performance. Future perspectives rest on the diversification of the sources of population data entered or connected to the database and, as a corollary, by continuous optimization of data processing and linkage procedures. In the era of 'big data', BALSAC is gradually moving from a historical population database to a multifaceted infrastructure for interdisciplinary research on the Quebec population.</p> Hélène Vézina, Jean-Sébastien Bournival Copyright (c) 2021 Hélène Vézina, Jean-Sébastien Bournival https://creativecommons.org/licenses/by/4.0 https://hlcs.nl/article/view/9299 Tue, 25 Aug 2020 00:00:00 +0200 Dutch Lives. The Historical Sample of the Netherlands (1987–): Development and Research https://hlcs.nl/article/view/9298 <p>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. The new database should be 'open' in the sense that extension should be possible in all kinds of ways: more sources or variables, more persons and larger time periods. The HSN was deliberately created as a nationwide sample covering the whole 19th and 20th century. Since 1991 about 12 million Euro has been invested in the database and related projects. Besides the basic sample about 25 additional projects have been realized that created all kind of extensions to the database. A special project is LINKS by which the indices of names from the Dutch civil registration are used to reconstruct pedigrees (for the period 1780–1940) and complete families (1811–1900) for the whole of the Netherlands or parts of it. In this article we will present an overview of the research that was done with the original themes and the new fields that were introduced over the years. We will also go into methodological issues that were picked up by the 'HSN community' and we will point out the present and future challenges for the HSN.</p> Kees Mandemakers, Jan Kok Copyright (c) 2021 Kees Mandemakers, Jan Kok https://creativecommons.org/licenses/by/4.0 https://hlcs.nl/article/view/9298 Mon, 15 Jun 2020 00:00:00 +0200