<?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>1870-6622</journal-id>
<journal-title><![CDATA[EconoQuantum]]></journal-title>
<abbrev-journal-title><![CDATA[EconoQuantum]]></abbrev-journal-title>
<issn>1870-6622</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Guadalajara]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1870-66222024000200001</article-id>
<article-id pub-id-type="doi">10.18381/eq.vi21i2.7332</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Cambios en la dinámica inflacionaria de la República Argentina (2004-2020). Un análisis a través del filtro de Kalman]]></article-title>
<article-title xml:lang="en"><![CDATA[Changes in the inflation dynamics of the Argentine Republic (2004-2020). An analysis through the Kalman filter]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pizarro Levi]]></surname>
<given-names><![CDATA[Ernesto Gabriel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Nacional de Chilecito Departamento de Ciencias Básicas y Tecnológicas ]]></institution>
<addr-line><![CDATA[La Rioja ]]></addr-line>
<country>Argentina</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<volume>21</volume>
<numero>2</numero>
<fpage>1</fpage>
<lpage>27</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1870-66222024000200001&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1870-66222024000200001&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1870-66222024000200001&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen:  Objetivo: analizar los cambios en la dinámica de la inflación de Argentina entre los años 2004 y 2020.  Metodología: se utiliza el filtro de Kalman con el objeto de estimar la relación entre las variables bajo estudio identificando a través de la evolución en el tiempo de los coeficientes estimados, cuáles de ellas permiten explicar el comportamiento de los procesos inflacionarios de Argentina.  Resultados: los coeficientes estimados presentan fluctuaciones a través del tiempo. El tipo de cambio y la inercia inflacionaria son las variables con mayor incidencia.  Limitaciones: el filtro de Kalman soluciona un problema en la estimación de parámetros no estables en el tiempo, pero no es posible hablar estrictamente de determinantes de la inflación sino de cambios en la dinámica inflacionaria.  Originalidad: en línea con algunos estudios contemporáneos, se comprueba que la inflación argentina puede ser explicada por diversas variables.  Conclusiones:  el estudio permite conocer la influencia de distintas variables en los recurrentes procesos inflacionarios de Argentina, identificando la importancia de cada una de ellas en la explicación del fenómeno.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract:  Objective: the aim of this study is to analyze the changes in the dynamics of inflation in Argentina between the years 2004 and 2020.  Methodology: the Kalman filter is employed to estimate the relationship between the variables under study. By tracking the evolution of the estimated coefficients over time, this method identifies which variables explain the behavior of inflationary processes in Argentina.  Results: the estimated coefficients exhibit fluctuations over time. Exchange rates and inflationary inertia are the variables with the greatest impact.  Limitations: while the Kalman filter addresses the issue of estimating time-varying parameters, it does not strictly determine the causes of inflation but rather changes in inflation dynamics.  Originality: consistent with contemporary studies, this research confirms that Argentinian inflation can be explained by several variables.  Conclusions: the study provides insights into the influence of different variables on the recurring inflationary processes in Argentina, highlighting the significance of each to explain the phenomenon.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[filtro de Kalman]]></kwd>
<kwd lng="es"><![CDATA[inflación]]></kwd>
<kwd lng="es"><![CDATA[Argentina]]></kwd>
<kwd lng="es"><![CDATA[dinámica inflacionaria]]></kwd>
<kwd lng="es"><![CDATA[C01]]></kwd>
<kwd lng="es"><![CDATA[C32]]></kwd>
<kwd lng="es"><![CDATA[C51]]></kwd>
<kwd lng="es"><![CDATA[E3]]></kwd>
<kwd lng="es"><![CDATA[E31]]></kwd>
<kwd lng="en"><![CDATA[Kalman filter]]></kwd>
<kwd lng="en"><![CDATA[inflation]]></kwd>
<kwd lng="en"><![CDATA[Argentina]]></kwd>
<kwd lng="en"><![CDATA[inflation dynamics]]></kwd>
<kwd lng="en"><![CDATA[C01]]></kwd>
<kwd lng="en"><![CDATA[C32]]></kwd>
<kwd lng="en"><![CDATA[C51]]></kwd>
<kwd lng="en"><![CDATA[E3]]></kwd>
<kwd lng="en"><![CDATA[E31]]></kwd>
</kwd-group>
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