<?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>2448-6655</journal-id>
<journal-title><![CDATA[Análisis económico]]></journal-title>
<abbrev-journal-title><![CDATA[Anál. econ.]]></abbrev-journal-title>
<issn>2448-6655</issn>
<publisher>
<publisher-name><![CDATA[Universidad Autónoma Metropolitana, Unidad Azcapotzalco, División de Ciencias Sociales y Humanidades]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2448-66552024000200005</article-id>
<article-id pub-id-type="doi">10.24275/uam/azc/dcsh/ae/2024v39n101/cuevas</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Efectos de la pandemia del COVID-19 en las exportaciones manufactureras mexicanas: un análisis por subsectores]]></article-title>
<article-title xml:lang="en"><![CDATA[Effects of the COVID-19 pandemic on Mexican manufacturing exports: An analysis by subsectors]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cuevas Ahumada]]></surname>
<given-names><![CDATA[Víctor Manuel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Jaime Camacho]]></surname>
<given-names><![CDATA[Daniel David]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Autónoma Metropolitana Departamento de Economía ]]></institution>
<addr-line><![CDATA[Azcapotzalco ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Autónoma Metropolitana Departamento de Economía ]]></institution>
<addr-line><![CDATA[Azcapotzalco ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2024</year>
</pub-date>
<volume>39</volume>
<numero>101</numero>
<fpage>5</fpage>
<lpage>21</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2448-66552024000200005&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2448-66552024000200005&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2448-66552024000200005&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen En este trabajo se emplea un modelo de datos en panel para estudiar el impacto de seis variables clave, tres de ellas relacionadas con la pandemia del COVID-19, sobre las exportaciones manufactureras mexicanas. El panel comprende los 21 subsectores de la industria manufacturera y observaciones mensuales para el período enero de 2020 - diciembre de 2022. Para estimar el modelo, que incluye tanto variables de demanda como de oferta, se utilizan dos métodos: mínimos cuadrados ordinarios y mínimos cuadrados en dos etapas. El segundo método corrige problemas de endogeneidad y se complementa con medidas para acrecentar la eficiencia. La evidencia obtenida indica que las exportaciones manufactureras responden positivamente frente a un incremento en la demanda externa, una depreciación real del peso, un descenso en los costos laborales unitarios (CLU), una mayor cobertura de los programas de vacunación, y un relajamiento de las medidas de distanciamiento social. Dado que los CLU descienden conforme aumenta la productividad laboral, procede concluir que una mayor inversión en educación formal de calidad, en capacitación y adiestramiento es una medida efectiva para exportar más. Asimismo, los efectos de los esfuerzos de vacunación subrayan la importancia de coordinar la política económica con la política de salud.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract This paper employs a panel data model to study the impact of six key variables, three of them directly related to the COVID-19 pandemic, on Mexican manufacturing exports. The panel comprises the 21 manufacturing subsectors and monthly data during the January 2020-December 2022 period. Moreover, the model specification entails supply- as well as demand-side variables. The two estimation techniques are ordinary least squares and two- stage least squares. The second estimation procedure corrects for endogeneity problems and is complemented by remedial measures to achieve more efficient parameter estimates. Along these lines, the evidence is robust in showing that manufacturing exports respond positively to an increase in external demand, a real currency depreciation, a drop in unit labor costs (ULC), a wider coverage of vaccination campaigns, and a relaxation of social distancing measures. Given that ULC fall as labor productivity rises, there is a valid rationale to conclude that investing in high- quality formal education, training and skill development could be an effective measure to raise exports. Likewise, the effects of the vaccination efforts highlights the relevance of coordinating economic policy with health policy.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Pandemia de COVID-19]]></kwd>
<kwd lng="es"><![CDATA[Modelos de datos en panel]]></kwd>
<kwd lng="es"><![CDATA[Costos laborales unitarios]]></kwd>
<kwd lng="es"><![CDATA[Política de vacunación]]></kwd>
<kwd lng="es"><![CDATA[Exportaciones manufactureras]]></kwd>
<kwd lng="en"><![CDATA[COVID-19 pandemic]]></kwd>
<kwd lng="en"><![CDATA[Panel data models]]></kwd>
<kwd lng="en"><![CDATA[Unit labor costs]]></kwd>
<kwd lng="en"><![CDATA[Vaccination policy]]></kwd>
<kwd lng="en"><![CDATA[Manufacturing exports]]></kwd>
</kwd-group>
</article-meta>
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<article-title xml:lang=""><![CDATA[Export collapse and employment effects during the COVID-19 crisis in Mexico]]></article-title>
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