<?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>0187-6961</journal-id>
<journal-title><![CDATA[Estudios fronterizos]]></journal-title>
<abbrev-journal-title><![CDATA[Estud. front]]></abbrev-journal-title>
<issn>0187-6961</issn>
<publisher>
<publisher-name><![CDATA[Universidad Autónoma de Baja California]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0187-69612019000100114</article-id>
<article-id pub-id-type="doi">10.21670/ref.1914035</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Migrantes profesionistas mexicanos en Estados Unidos: Análisis de las desigualdades de género]]></article-title>
<article-title xml:lang="en"><![CDATA[Educated Mexican migrants in the United States: Analysis of gender inequalities]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Domínguez Villalobos]]></surname>
<given-names><![CDATA[Lilia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Brown Grossman]]></surname>
<given-names><![CDATA[Flor]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Nava Bolaños]]></surname>
<given-names><![CDATA[Isalia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Nacional Autónoma de México Facultad de Economía ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Autónoma de Querétaro Facultad de Ciencias Administrativas ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Nacional Autónoma de México Instituto de Investigaciones Económicas ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2019</year>
</pub-date>
<volume>20</volume>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0187-69612019000100114&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0187-69612019000100114&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0187-69612019000100114&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: Este trabajo analiza comparativamente los determinantes de la integración en el mercado de trabajo estadunidense por nivel de calificación de la ocupación de los y las migrantes profesionistas mexicanos. Para cumplir con el objetivo estimamos dos modelos econométricos multinomiales que examinan las probabilidades de no ocuparse o de emplearse en puestos de distinto nivel de calificación. Con base en estos resultados se construyen escenarios. En el primero que combina el grado académico con la presencia de hijos, fue contundente la alta probabilidad para la población femenina de estar fuera de la fuerza de trabajo, con la salvedad de contar con doctorado. En el segundo escenario, en el que se relacionan las condiciones migratorias, la escolaridad y el dominio del inglés, se ilustra la vulnerabilidad como inmigrantes que se intersecta con la vulnerabilidad de género, cuando no están presentes las condiciones óptimas.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: This work comparatively analyses the determinants of incorporation into the American labor market by qualification level of the occupation of Mexican educated female and male migrants. To meet the objective, we estimate two multinomial econometric models that examine the odds of not being filled or used in positions of different level of qualification. Based on these results, scenarios are built. In the first that combines academic degree with the presence of children, the high probability for the female population of being outside the workforce was blunt, with the exception of having a doctorate. The second scenario, which relates to immigration conditions, schooling and English proficiency, illustrates vulnerability as immigrants, when optimal conditions are not present, but in this case women have greater odds to be left out of the workforce.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[migración mexicana calificada]]></kwd>
<kwd lng="es"><![CDATA[género]]></kwd>
<kwd lng="es"><![CDATA[ocupación]]></kwd>
<kwd lng="es"><![CDATA[modelos multinomiales]]></kwd>
<kwd lng="es"><![CDATA[Estados Unidos]]></kwd>
<kwd lng="en"><![CDATA[qualified Mexican migration]]></kwd>
<kwd lng="en"><![CDATA[gender]]></kwd>
<kwd lng="en"><![CDATA[occupation]]></kwd>
<kwd lng="en"><![CDATA[multinomial models]]></kwd>
<kwd lng="en"><![CDATA[United States]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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