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Tempo and the TFR

Bibliographic Data

ID10967995
AuthorsMáire Ní Bhrolcháin (0000-0001-5128-9164, University of Southampton, corresponding author)
Year2011
Volume48
Issue3
Pages841-861
Publication date2011-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueDemography (JOURNAL)
Journal identifiersISSN: 0070-3370 • E-ISSN: 1533-7790
PublisherDuke University Press (PUBLISHER • US)
DOI10.1007/s13524-011-0033-4
PMID21643883
OpenAlexW1975288353
LanguageEN
Citations received30
References cited69

Tempo effects in period fertility indicators are widely regarded as a source of bias or distortion. But is this always the case? Whether tempo change results in bias depends, in the view advanced here, on the measure used, the meaning of bias/distortion, and the objective of analysis. Two ways of construing bias in period measures are suggested, and their relevance is discussed in the context of five broad purposes for measuring period fertility: describing and explaining fertility time trends, anticipating future prospects, providing input parameters for formal models, and communicating with nonspecialist audiences. Genuine timing effects are not biasing when period fertility is the explanandum but are distorting when the aim is to estimate cohort fertility. Alternatives to tempo adjustment are available that are a more defensible solution to the issue of timing change. Tempo adjustment could be more fruitfully considered a form of modeling rather than empirical measurement. The measurement of period fertility could be improved by relying more on a statistical approach and less on indicators based on stable assumptions. Future progress will depend on integrating research on measurement with substantive investigation

Context (archaeology · Distortion (music · Econometrics · Economics · Fertility · Geography · Meaning (existential · Period (music · Political science · Population · Positive economics · Relevance (law · Sociology · Telecommunications · Assisted Reproductive Technology and Twin Pregnancy · Computer Science · Demography · Family Dynamics and Relationships · Insurance, Mortality, Demography, Risk Management · Law · Psychology

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Unique citing works30
Citations per year1,58
Citation span2007 - 2025 (19)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 28
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