From Data Scarcity to Data Abundance
Principal Investigator(s): View help for Principal Investigator(s) George Alter, University of Michigan. Institute for Social Research
Version: View help for Version V1
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Project Citation:
Alter, George. From Data Scarcity to Data Abundance. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-03-29. https://doi.org/10.3886/E109127V1
Project Description
Summary:
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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.
Scope of Project
Subject Terms:
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historical demography;
family reconstitution
Geographic Coverage:
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Germany
Time Period(s):
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1800 – 1940
Universe:
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Six German village genealogies collected and digitized by John Knodel.
Data Type(s):
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event/transaction data
Collection Notes:
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These data were collected by John Knodel and used in Knodel, J. E. (1988). Demographic behavior in the past a study of fourteen German village populations in the eighteenth and nineteenth centuries. Cambridge Cambridgeshire, New York: Cambridge University Press.
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