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Juan Francisco Muñoz Rosas

Dados Biográficos

ID4151126
NOMEJuan Francisco Muñoz Rosas
PRENOMESJuan Francisco Muñoz
SOBRENOMERosas
ASSINATURAROSAS J F M
AFILIAÇÕESUniversidad de Granada
ORCID0000-0001-7427-6630
VERIFICADOSim
TOTAL DE OBRAS6
TOTAL DE CITAÇÕES3
TOTAL COMO AUTOR6
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2013
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H1
  • A Practical Guide to Proper Estimation and Inference of the Gini Index by Avoiding often Encountered Methodological Pitfalls

    Open Access•Juan Francisco Muñoz Rosas, José Manuel Pavía Miralles et al.•ARTICLE•Social Indicators Research•2026

    The Gini index is the most widely-used measure of inequality. Unfortunately, its computation is subject to error. Researchers and practitioners often fall into common methodological pitfalls, leading to inaccurate estimates and inferences, and ultimately hindering efforts to reduce inequality and improve societal quality of life. This paper clarifies the challenges of non-parametric estimation of the Gini index more comprehensively than previous …

  • Exploring and Correcting the Bias in the Estimation of the Gini Measure of Inequality

    Open Access•Juan Francisco Muñoz Rosas, Pablo J Moya-Fernández et al.•ARTICLE•Sociological Methods & Research•2025•Citada por: 1•Referências: 43

    The Gini index is probably the most commonly used indicator to measure inequality. For continuous distributions, the Gini index can be computed using several equivalent formulations. However, this is not the case with discrete distributions, where controversy remains regarding the expression to be used to estimate the Gini index. We attempt to bring a better understanding of the underlying problem by regrouping and classifying the most common est…

  • Data triangulation strategies to design a representative household survey of hosts and Rohingya displaced in Cox’s Bazar, Bangladesh

    Open Access•Joaquin Endara, Maria Eugenia Genoni et al.•ARTICLE•Migration Studies•2024

    Obtaining representative information on hosts and displaced populations in a single survey is not straightforward. This article demonstrates the value of combining traditional and nontraditional sampling frames, geospatial information, and listing exercises to design a representative survey of hosts and Rohingya displaced populations in Cox’s Bazar, Bangladesh. The article applies innovative segmentation techniques using geospatial data to delimi…

  • On Estimating the Poverty Gap and the Poverty Severity Indices With Auxiliary Information

    Open Access•Juan Francisco Muñoz Rosas, J F Muñoz et al.•ARTICLE•Sociological Methods & Research•2018•Referências: 41

    Many poverty measures are estimated by using sample data collected from social surveys. Two examples are the poverty gap and the poverty severity indices. A novel method for the estimation of these poverty indicators is described. Social surveys usually contain different variables, some of which can be used to improve the estimation of poverty measures. The proposed estimation methodology is based on this idea. The variance estimation and the con…

  • Efficient Estimation of the Headcount Index

    Open Access•Juan Francisco Muñoz Rosas, J F Muñoz et al.•ARTICLE•Social Indicators Research•2014•Citada por: 2•Referências: 3

  • La cesión territorial como respuesta a la demanda marítima boliviana

    Open Access•Loreto Correa, Juan Muñoz et al.•ARTICLE•Encrucijada Americana•2013

    El tema de la salida al mar para Bolivia se destaca como un asunto que vuelve a ponerse sobre la mesa. No obstante, más allá de lo anterior, no hubo avances sustantivos en la materia para el logro de una solución concreta al petitorio boliviano. Así, en el primer semestre de 2011, Bolivia tomó la decisión de cambiar su estrategia de diálogo abierto hacia Chile al crear la Dirección de Reivindicación Marítima, en la perspectiva de llevar ante trib…

  • Efficient Estimation of the Headcount Index

    Open Access•Juan Francisco Muñoz Rosas, J F Muñoz et al.•ARTICLE•Social Indicators Research•2014•Citada por: 2•Referências: 3

  • Exploring and Correcting the Bias in the Estimation of the Gini Measure of Inequality

    Open Access•Juan Francisco Muñoz Rosas, Pablo J Moya-Fernández et al.•ARTICLE•Sociological Methods & Research•2025•Citada por: 1•Referências: 43

    The Gini index is probably the most commonly used indicator to measure inequality. For continuous distributions, the Gini index can be computed using several equivalent formulations. However, this is not the case with discrete distributions, where controversy remains regarding the expression to be used to estimate the Gini index. We attempt to bring a better understanding of the underlying problem by regrouping and classifying the most common est…

  • La cesión territorial como respuesta a la demanda marítima boliviana

    Open Access•Loreto Correa, Juan Muñoz et al.•ARTICLE•Encrucijada Americana•2013

    El tema de la salida al mar para Bolivia se destaca como un asunto que vuelve a ponerse sobre la mesa. No obstante, más allá de lo anterior, no hubo avances sustantivos en la materia para el logro de una solución concreta al petitorio boliviano. Así, en el primer semestre de 2011, Bolivia tomó la decisión de cambiar su estrategia de diálogo abierto hacia Chile al crear la Dirección de Reivindicación Marítima, en la perspectiva de llevar ante trib…

  • Efficient Estimation of the Headcount Index

    Open Access•Juan Francisco Muñoz Rosas, J F Muñoz et al.•ARTICLE•Social Indicators Research•2014•Citada por: 2•Referências: 3

  • On Estimating the Poverty Gap and the Poverty Severity Indices With Auxiliary Information

    Open Access•Juan Francisco Muñoz Rosas, J F Muñoz et al.•ARTICLE•Sociological Methods & Research•2018•Referências: 41

    Many poverty measures are estimated by using sample data collected from social surveys. Two examples are the poverty gap and the poverty severity indices. A novel method for the estimation of these poverty indicators is described. Social surveys usually contain different variables, some of which can be used to improve the estimation of poverty measures. The proposed estimation methodology is based on this idea. The variance estimation and the con…

  • Data triangulation strategies to design a representative household survey of hosts and Rohingya displaced in Cox’s Bazar, Bangladesh

    Open Access•Joaquin Endara, Maria Eugenia Genoni et al.•ARTICLE•Migration Studies•2024

    Obtaining representative information on hosts and displaced populations in a single survey is not straightforward. This article demonstrates the value of combining traditional and nontraditional sampling frames, geospatial information, and listing exercises to design a representative survey of hosts and Rohingya displaced populations in Cox’s Bazar, Bangladesh. The article applies innovative segmentation techniques using geospatial data to delimi…

  • Exploring and Correcting the Bias in the Estimation of the Gini Measure of Inequality

    Open Access•Juan Francisco Muñoz Rosas, Pablo J Moya-Fernández et al.•ARTICLE•Sociological Methods & Research•2025•Citada por: 1•Referências: 43

    The Gini index is probably the most commonly used indicator to measure inequality. For continuous distributions, the Gini index can be computed using several equivalent formulations. However, this is not the case with discrete distributions, where controversy remains regarding the expression to be used to estimate the Gini index. We attempt to bring a better understanding of the underlying problem by regrouping and classifying the most common est…

  • A Practical Guide to Proper Estimation and Inference of the Gini Index by Avoiding often Encountered Methodological Pitfalls

    Open Access•Juan Francisco Muñoz Rosas, José Manuel Pavía Miralles et al.•ARTICLE•Social Indicators Research•2026

    The Gini index is the most widely-used measure of inequality. Unfortunately, its computation is subject to error. Researchers and practitioners often fall into common methodological pitfalls, leading to inaccurate estimates and inferences, and ultimately hindering efforts to reduce inequality and improve societal quality of life. This paper clarifies the challenges of non-parametric estimation of the Gini index more comprehensively than previous …

Income, Poverty, and Inequality (4 obras) · Econometrics (3 obras) · Estimation (3 obras) · Estimator (3 obras) · Mathematics (3 obras) · Monte Carlo method (3 obras) · Statistics (3 obras) · Computer Science (2 obras) · Economics (2 obras) · Fiscal Policy and Economic Growth (2 obras)

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