A linkage error correction model for population size estimation with multiple sources

D. Zult; P.-P. de Wolf; B Bakker; P.G.M. van der Heijden

A linkage error correction model for population size estimation with multiple sources

D. Zult, P.-P. de Wolf, B Bakker, P.G.M. van der Heijden

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Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

A new method is described to do population size estimation, while linkage of sources occurs with errors. Our model is derived from a linkage error correction model introduced by Ding and Fienberg (1994). They show how to use linkage probabilities to correct the capture - recapture estimator for linkage errors, but only in the case of two sources and no covariates. A generalisation is proposed by incorporating the Ding & Fienberg model into the standard log - linear modelling approach used in multiple - recapture estimation. We show how the method performs in a simulation study with data that resemble real data.

Original language	English
Title of host publication	Proceeding of the 62nd ISI World Statistics Congress 2019
Subtitle of host publication	Special Topic Session
Pages	324-332
Volume	3
Publication status	Published - 2019
Event	ISI (International Statistical Institute) World Statistics Congres: Scientific Programme - Kuala Lumpur, Malaysia Duration: 18 Aug 2019 → 23 Aug 2019 https://www.isi2019.org/scientific-programme-2/

Conference

Conference	ISI (International Statistical Institute) World Statistics Congres
Country/Territory	Malaysia
City	Kuala Lumpur
Period	18/08/19 → 23/08/19
Internet address	https://www.isi2019.org/scientific-programme-2/

Keywords

Multiple – recapture estimation
population size estimation
capture - recapture
record linkage
linkage errors

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A linkage error correction model for population size estimation. Zult et al. 2019Final published version, 490 KB

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@inproceedings{9508a57f811d4f9ba9a4118344d5dbac,

title = "A linkage error correction model for population size estimation with multiple sources",

abstract = "A new method is described to do population size estimation, while linkage of sources occurs with errors. Our model is derived from a linkage error correction model introduced by Ding and Fienberg (1994). They show how to use linkage probabilities to correct the capture - recapture estimator for linkage errors, but only in the case of two sources and no covariates. A generalisation is proposed by incorporating the Ding & Fienberg model into the standard log - linear modelling approach used in multiple - recapture estimation. We show how the method performs in a simulation study with data that resemble real data. ",

keywords = "Multiple – recapture estimation, population size estimation, capture - recapture, record linkage, linkage errors",

author = "D. Zult and {de Wolf}, P.-P. and B Bakker and {van der Heijden}, P.G.M.",

year = "2019",

language = "English",

volume = "3",

pages = "324--332",

booktitle = "Proceeding of the 62nd ISI World Statistics Congress 2019",

note = "ISI (International Statistical Institute) World Statistics Congres : Scientific Programme ; Conference date: 18-08-2019 Through 23-08-2019",

url = "https://www.isi2019.org/scientific-programme-2/",

}

TY - GEN

T1 - A linkage error correction model for population size estimation with multiple sources

AU - Zult, D.

AU - de Wolf, P.-P.

AU - Bakker, B

AU - van der Heijden, P.G.M.

PY - 2019

Y1 - 2019

N2 - A new method is described to do population size estimation, while linkage of sources occurs with errors. Our model is derived from a linkage error correction model introduced by Ding and Fienberg (1994). They show how to use linkage probabilities to correct the capture - recapture estimator for linkage errors, but only in the case of two sources and no covariates. A generalisation is proposed by incorporating the Ding & Fienberg model into the standard log - linear modelling approach used in multiple - recapture estimation. We show how the method performs in a simulation study with data that resemble real data.

AB - A new method is described to do population size estimation, while linkage of sources occurs with errors. Our model is derived from a linkage error correction model introduced by Ding and Fienberg (1994). They show how to use linkage probabilities to correct the capture - recapture estimator for linkage errors, but only in the case of two sources and no covariates. A generalisation is proposed by incorporating the Ding & Fienberg model into the standard log - linear modelling approach used in multiple - recapture estimation. We show how the method performs in a simulation study with data that resemble real data.

KW - Multiple – recapture estimation

KW - population size estimation

KW - capture - recapture

KW - record linkage

KW - linkage errors

M3 - Conference contribution

VL - 3

SP - 324

EP - 332

BT - Proceeding of the 62nd ISI World Statistics Congress 2019

T2 - ISI (International Statistical Institute) World Statistics Congres

Y2 - 18 August 2019 through 23 August 2019

ER -

A linkage error correction model for population size estimation with multiple sources

Abstract

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Keywords

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