Can the demographic features of a population be recovered from the age distribution of skeletons?

9/19/97


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Paleodemography: Science, Art or Artifice?

Can the demographic features of a population be recovered from the age distribution of skeletons?

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Take the best dataset: Libben (Ohio), 800-1100 AD. skeletons by estimated age

Add The Whopper assumption:

My Approach: graphics over statistics

Meta-analysis of 40 paleodemographic datasets: all periods, places and populations

Three recent advances in paleodemography:

What’s new (in this presentation but not in the paper)? Three extras for the diehards:

Demographers know: fertility has a big impact on population age structure (and on the age distribution of deaths). Next figure shows fertility effects:

Fig. 1. Fertility has big effects on age structure of deaths

Great variations in mortality scarcely affect age distribution of skeletons. The next figure shows mortality effects (stable populations):

Fig. 2. Mortality offers a small target

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Use faux hazard rates (central death rates) for data, models and graphs

Let’s accept a modified Whopper assumption

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Example: The best dataset in North America Libben (Ohio) 800-1100 AD

Draw empirical hazard “rates” and confidence intervals over stable population “rates”

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Not convinced? Consider conventional graphics (percent of deaths aged 5-14, 15-24, …45+) drawn over stable populations.

Following graphs use faux hazard rates instead of percentages

Fig 7. Age bias in skeletal datasets , but not historical ones.

Fig. 8. European prehistoric populations also show age bias

Another example: Skeletal data for the Oneota

Fig. 9 Oneota. Note poor fit between data and models

Next set of figures: faux hazard rates by ancestry--all show age bias

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Regardless of ancestry, there is a consistent pattern of unprecedentedly high hazard rates from age 25-35 and beyond

Lovejoy adjustments are insufficient to overcome bias (remaining years of life from age 15)

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Conclusions, I: 5 reasons why graphs reveal poor fit and statistics do not

Conclusions, II: paleodemography is methdologically challenged.

Science, Art or Artifice?

Two paleodemographic age ratios: Bocquet-Appel (D5-14)/D20+ Buikstra (D30+/D5+)

Author: Department of History

Email: rmccaa@maroon.tc.umn.edu

Home Page: http://www.hist.umn.edu/~rmccaa/

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