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Improving Accuracy in Multiple Regression Estimates of Population Using Principles from Causal Modelling

Bibliographic Data

ID10968463
AuthorsDavid A Swanson (0000-0003-4284-9478, Washington State Board for Community College Education, Olympia, Washington 98504, corresponding author)
Year1980
Volume17
Issue4
Pages413-427
Publication date1980-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueDemography (JOURNAL)
Journal identifiersISSN: 0070-3370 • E-ISSN: 1533-7790
PublisherDuke University Press (PUBLISHER • US)
DOI10.2307/2061154
PMID7461231
OpenAlexW2009596469
LanguageEN
Citations received8
References cited13

This paper reports a mildly restricted procedure for using a theoretical causal ordering and principles from path analysis to provide a basis for modifying regression coefficients in order to improve the estimation accuracy of the ratio-correlation method of population estimation. The modification is intended to take into account temporal changes in the structure of variable relationships, a major element in determining the accuracy of post-censal estimates. The modification of coefficients is conservative in that it uses rank-ordering as a basis of change. Empirical results are reported for counties in Washington state that demonstrate the increased accuracy obtained using the proposed procedure

Basis (linear algebra · Econometrics · Economics · Estimation · Linear regression · Path coefficient · Population · Rank (graph theory · Regression · Regression analysis · Statistics · Census and Population Estimation · Computer Science · Demography · Economics of Agriculture and Food Markets · Mathematics · Survey Sampling and Estimation Techniques

  • Validación de los indicadores sintomáticos en las estimaciones poblacionales

    Open Access•Edwin A Chaves Esquivel•Población y Salud en Mesoamérica•2014

  • Small-Area Estimation of Economic Statistics

    Cary T Isaki•Journal of Business and Economic…•1990

  • An Evaluation of Persons per Household (PPH) Estimates Generated by the American Community Survey

    Open Access•David A Swanson, George C Hough•Population Research and Policy…•2012

  • Assessing post-census state poverty estimates

    Open Access•William P O’Hare, William P O'Hare•Population Research and Policy…•1993

  • Advancing Methodological Knowledge Within State and Local Demography

    Open Access•David A Swanson•Population Research and Policy…•2004

  • Measuring Temporal Stability in Regression Models of Population Estimation

    Open Access•Marylou Mandell, Jeffrey Tayman et al.•Demography•1982

  • Improving the measurement of temporal change in regression models used for county population estimates

    Open Access•David A Swanson, Lucky M Tedrow•Demography•1984

  • A note on the measurement of accuracy for subnational demographic estimates

    Open Access•David A Swanson, Jeff Tayman et al.•Demography•2000

  • Ridge Regression

    Arthur E Hoerl, Robert W Kennard•Technometrics•1970

  • Problems in Path Analysis and Causal Inference

    D R Heise•Sociological Methodology•1969

  • Accuracy of Methods of Preparing Postcensal Population Estimates for States and Local Areas

    Open Access•Meyer Zitter, Henry S Shryock•Demography•1964

  • Improving population estimates with the use of dummy variables

    Open Access•Donald E Pursell•Demography•1970

  • Accuracy of methods of preparing postcensal population estimates for states and local areas

    Open Access•Meyer Zitter, Henry S Shryock•Demography•1964

  • On the ratio-correlation and related methods of subnational population estimation

    Open Access•N Krishnan Namboodiri, Narayanan Namboodiri•Demography•1972

  • Estimating demographic characteristics using the ratio-correlation method

    Open Access•Julia H Martin, William J Serow•Demography•1978

  • Report on a multiple regression method for making population estimates

    Open Access•William P O’Hare, William O’Hare•Demography•1976

  • Correlation and Causation

    Victor R Martuza, D A Kenny•Educational Researcher•1981

Unique citing works8
Citations per year0,18
Citation span1982 - 2014 (33)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 8

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