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Underregistration and Bias in Probate Records: An Analysis of Data from Eighteenth-Century Hingham, Massachusetts

Authors: Daniel Scott Smith;

Underregistration and Bias in Probate Records: An Analysis of Data from Eighteenth-Century Hingham, Massachusetts

Abstract

G ENEALOGISTS and historians of colonial America have long turned to probate records for information on the wealth and family connections of individuals. Wills and inventories represent as well a large, detailed, and well organized source for the systematic study of social history. In the past decade scholars have attempted to analyze their aggregate patterns; studies have been made, for example, of the distribution, of wealth among decedents,' and of changes in patterns of inheritance.2 In order to generalize about the living population, the age profile of the probated has been adjusted for the fact that the dead are older than the living.3 The reliability of conclusions reached through the analysis of probate records depends to some extent on the degree of coverage and the biases in this source. Historians have been aware that probate records are not complete and have suggested that the omissions probably are not random. Estimates of the extent of underregistration have rested, however, on the known

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Average
Top 10%
Average
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