<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1665-5346</journal-id>
<journal-title><![CDATA[Revista mexicana de economía y finanzas]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. mex. econ. finanz]]></abbrev-journal-title>
<issn>1665-5346</issn>
<publisher>
<publisher-name><![CDATA[Instituto Mexicano de Ejecutivos de Finanzas A.C.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1665-53462023000400006</article-id>
<article-id pub-id-type="doi">10.21919/remef.v18i4.843</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[The Importance of Health and Social Protection Assets in the Economic Welfare of Households in Mexico]]></article-title>
<article-title xml:lang="es"><![CDATA[La importancia de los activos de salud y protección social en el bienestar económico de los hogares en México]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Torre-Diaz]]></surname>
<given-names><![CDATA[Lorena de la]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rodríguez-Aguilar]]></surname>
<given-names><![CDATA[Roman]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rivas-Aceves]]></surname>
<given-names><![CDATA[Salvador]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Panamericana  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2023</year>
</pub-date>
<volume>18</volume>
<numero>4</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1665-53462023000400006&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1665-53462023000400006&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1665-53462023000400006&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract This paper seeks determines how the possession of health and social protection assets affects the probability of a household belonging to a given quintile of a proposed asset ownership index. An ordered logistic regression model was constructed. As a dependent variable, the quintile of each household was used according to the index. This research is based on 48 explanatory variables from the 2020 National Income and Expenses Survey. It confirms that health and social protection assets are relevant in the location of households in a quintile according to its socioeconomic condition. Estimated marginal effects and predictions for every quintile, show that the effect of the assets varies according to the quintile. Ownership of specific assets increase the likelihood of belonging to the higher quintiles. The possession of a voluntary pension fund is the most relevant asset. The empirical results obtained may contribute to design more efficient inequality-reducing public policies by promoting its acquisition and thereby encouraging social mobility. Main limitations of this research are related with the small number of health and social-protection related variables in the survey.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Este artículo busca determina cómo la posesión de activos de salud y protección social afecta la probabilidad de pertenencia de un hogar a un determinado quintil de un índice de activos propuesto. Se construyó un modelo de regresión logística ordenada. Como variable dependiente se usó el quintil de cada hogar según el índice propuesto. Se usaron 48 variables explicativas de la Encuesta Nacional de Ingreso y Gasto de los Hogares 2020. Se confirma que los activos de salud y protección social son relevantes en la ubicación de los hogares en un quintil según su condición socioeconómica. Los efectos marginales estimados y las predicciones para cada quintil muestran que el efecto de los activos varía según el quintil y que determinados activos aumentan la probabilidad de pertenecer a los quintiles más altos. La posesión de un fondo de pensiones voluntario es el activo más relevante. Los resultados empíricos obtenidos pueden contribuir al diseño políticas públicas más eficientes para reducir la desigualdad al promover su adquisición e incentivar la movilidad social. Las principales limitaciones de esta investigación se relacionan con el número reducido de variables de salud y protección social en la encuesta.]]></p></abstract>
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<kwd lng="en"><![CDATA[social mobility]]></kwd>
<kwd lng="en"><![CDATA[health and social protection]]></kwd>
<kwd lng="en"><![CDATA[income inequality]]></kwd>
<kwd lng="en"><![CDATA[asset index]]></kwd>
<kwd lng="en"><![CDATA[econometric methods]]></kwd>
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<kwd lng="es"><![CDATA[social mobility]]></kwd>
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<kwd lng="es"><![CDATA[income inequality]]></kwd>
<kwd lng="es"><![CDATA[asset index]]></kwd>
<kwd lng="es"><![CDATA[econometric methods]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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