<?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>0186-1042</journal-id>
<journal-title><![CDATA[Contaduría y administración]]></journal-title>
<abbrev-journal-title><![CDATA[Contad. Adm]]></abbrev-journal-title>
<issn>0186-1042</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Facultad de Contaduría y Administración]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0186-10422024000300247</article-id>
<article-id pub-id-type="doi">10.22201/fca.24488410e.2024.4704</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Cambio tecnológico y desigualdad de ingresos en México]]></article-title>
<article-title xml:lang="en"><![CDATA[Technological change and income inequality in Mexico]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Varela Llamas]]></surname>
<given-names><![CDATA[Rogelio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Tavares Luna]]></surname>
<given-names><![CDATA[Rafael]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Autónoma de Baja California  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2024</year>
</pub-date>
<volume>69</volume>
<numero>3</numero>
<fpage>247</fpage>
<lpage>270</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0186-10422024000300247&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0186-10422024000300247&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0186-10422024000300247&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El objetivo del trabajo es analizar la desigualdad de ingresos en México durante el tercer trimestre de 2018 y 2021 con información de la Encuesta Nacional de Ocupación y Empleo (ENOE) del Instituto Nacional de Estadística y Geografía (INEGI). Se examina el vínculo entre los ingresos de los trabajadores y una variable de tecnología, construida a partir de las probabilidades de automatización que estiman Frey y Osborne (2017). Se consideran variables de control como el sexo, escolaridad, tipo de empleo, estructura regional y sectorial de la economía mexicana. Se instrumenta un procedimiento para corregir el problema de sesgo por autoselección muestral. Las estimaciones indican que quienes desempeñan ocupaciones con nivel medio y alto de automatización, ganan menos con respecto a quienes exhiben un bajo nivel de automatización. Durante 2018 los porcentajes fueron de menos 25% y 30% y durante 2021, de menos 23% y 28% respectivamente.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The objective of the work is to analyze income inequality in Mexico during the third quarter of 2018 and 2021 with information from the National Survey of Occupation and Employment (ENOE) of the National Institute of Statistics and Geography (INEGI). The link between workers' earnings and a technology variable, constructed from the automation probabilities estimated by Frey and Osborne (2017), is examined. Control variables such as gender, schooling, type of employment, regional and sectoral structure of the Mexican economy are considered. A procedure is implemented to correct the sample self-selection bias problem. Estimates indicate that those who perform occupations with a medium and high level of automation earn less than those with a low level of automation. During 2018 the percentages were minus 25% and 30% and during 2021, minus 23% and 28% respectively.]]></p></abstract>
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<kwd lng="es"><![CDATA[J01]]></kwd>
<kwd lng="es"><![CDATA[J08]]></kwd>
<kwd lng="es"><![CDATA[J31]]></kwd>
<kwd lng="es"><![CDATA[desigualdad de ingresos]]></kwd>
<kwd lng="es"><![CDATA[cambio tecnológico]]></kwd>
<kwd lng="es"><![CDATA[corrección de Heckman]]></kwd>
<kwd lng="en"><![CDATA[J01]]></kwd>
<kwd lng="en"><![CDATA[J08]]></kwd>
<kwd lng="en"><![CDATA[J31]]></kwd>
<kwd lng="en"><![CDATA[income inequality]]></kwd>
<kwd lng="en"><![CDATA[technological change]]></kwd>
<kwd lng="en"><![CDATA[Heckman correction]]></kwd>
</kwd-group>
</article-meta>
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