ArticleThe Journal of interdisciplinary history2020
The Evolution of Models in Historical Demography.
Article in The Journal of interdisciplinary history, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Did migration alter the path of the demographic transition for French Canadians in the United States?The history of the family : an international quarterly · 2025Article
- The Impact of Multiple Births on Fertility: Stopping and Spacing in the United States During the Demographic Transition.Demography · 2024Article
- Landscape of fear: indirect effects of conflict can account for large-scale population declines in non-state societies.Journal of the Royal Society, Interface · 2024Article
- Re-introducing the Cambridge Group Family Reconstitutions.Historical life course studies · 2020Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
This reflection on the evolution of methods and data in historical demography argues that we can still find inspiration and guidance in the work of the founders of our discipline. Historical demography is in the midst of a transition from a data-poor to a data-rich environment. Previous generations relied on demographic models to squeeze as much information as possible from the small amounts of data available. Today we live in a new era of large data sets and regression models. Researchers are creating both regional and international historical data sets of unprecedented size and depth. When examined closely, however, the methods that we use now make the same simplifying assumptions that generated the key advances of earlier generations. As we transition to new methods, demographic insight must inform our analyses and enrich our conclusions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.