Calibration estimator for Head Count Index

This paper considers the problem of estimating a poverty measure, the Head Count Index, using the auxiliary information available, which is incorporated into the estimation procedure by calibration techniques. The proposed method does not directly use the auxiliary information provided by auxiliar...

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Main Authors: Martínez Puertas, Sergio, Illescas Manzano, María Dolores, Martínez Puertas, Helena, Arcos Cebrian, Antonio
Format: info:eu-repo/semantics/article
Language:English
Published: 2023
Online Access:http://hdl.handle.net/10835/14875
https://doi.org/10.1080/00207160.2018.1425798
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author Martínez Puertas, Sergio
Illescas Manzano, María Dolores
Martínez Puertas, Helena
Arcos Cebrian, Antonio
author_facet Martínez Puertas, Sergio
Illescas Manzano, María Dolores
Martínez Puertas, Helena
Arcos Cebrian, Antonio
author_sort Martínez Puertas, Sergio
collection DSpace
description This paper considers the problem of estimating a poverty measure, the Head Count Index, using the auxiliary information available, which is incorporated into the estimation procedure by calibration techniques. The proposed method does not directly use the auxiliary information provided by auxiliary variables related to the variable of interest in the calibration process, but the auxiliary information, after a transformation, is incorporated by calibration techniques applied to the distribution function of the study variable. Monte Carlo experiments were carried out for simulated data and for real data taken from the Spanish living conditions survey to explore the performance of the new estimation methods of the Head Count Index.
format info:eu-repo/semantics/article
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institution Universidad de Cuenca
language English
publishDate 2023
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spelling oai:repositorio.ual.es:10835-148752023-12-21T13:29:56Z Calibration estimator for Head Count Index Martínez Puertas, Sergio Illescas Manzano, María Dolores Martínez Puertas, Helena Arcos Cebrian, Antonio This paper considers the problem of estimating a poverty measure, the Head Count Index, using the auxiliary information available, which is incorporated into the estimation procedure by calibration techniques. The proposed method does not directly use the auxiliary information provided by auxiliary variables related to the variable of interest in the calibration process, but the auxiliary information, after a transformation, is incorporated by calibration techniques applied to the distribution function of the study variable. Monte Carlo experiments were carried out for simulated data and for real data taken from the Spanish living conditions survey to explore the performance of the new estimation methods of the Head Count Index. 2023-12-21T12:15:55Z 2023-12-21T12:15:55Z 2018-01-25 info:eu-repo/semantics/article 1029-0265 http://hdl.handle.net/10835/14875 https://doi.org/10.1080/00207160.2018.1425798 en https://doi.org/10.1080/00207160.2018.1425798 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess
spellingShingle Martínez Puertas, Sergio
Illescas Manzano, María Dolores
Martínez Puertas, Helena
Arcos Cebrian, Antonio
Calibration estimator for Head Count Index
title Calibration estimator for Head Count Index
title_full Calibration estimator for Head Count Index
title_fullStr Calibration estimator for Head Count Index
title_full_unstemmed Calibration estimator for Head Count Index
title_short Calibration estimator for Head Count Index
title_sort calibration estimator for head count index
url http://hdl.handle.net/10835/14875
https://doi.org/10.1080/00207160.2018.1425798
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