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Crisis económica y financiera en México: causas y efectos multifactoriales

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  • Almaraz-Rodríguez, Ignacio

    (Universidad Autónoma de Querétaro)

Abstract

Las crisis financieras que han afectado a México desde la década de los ochentas del siglo pasado hasta la actualidad han impactado de diferentes formas los indicadores macroeconómicos fundamentales de la economía mexicana. Varios factores se han conjuntado en los últimos años para la irrupción de las diferentes crisis que ha experimentado el país, entre ellos se encuentran el debilitamiento de la economía, las expectativas irracionales de los agentes económicos y el contagio que ha experimentado México por estar inmerso en un mundo globalizado. Las crisis financieras han tenido como consecuencia, entre otros: la falta de liquidez, el incremento de las tasas de desempleo, el aumento de la inflación y la reducción en las tasas de crecimiento. En la presente investigación se realiza un análisis del comportamiento de los indicadores macroeconómicos coyunturales durante las crisis económicas y financieras que han impactado a México en periodo 1980-2014. / The financial crises that hit Mexico since the eighties of the last century to the present had have many impacts in the Mexican´s macroeconomic indicators. Several factors have come together in recent years to the emergence of the different crises experienced by the country, among them are the weakening economy, irrational expectations of economic agents and contagion that experience Mexico by being immersed in a globalized world. Financial crises have resulted, among others: lack of liquidity, increased unemployment rates, rising inflation and reduced growth rates. In this research we present an analysis of the cyclical behavior of macroeconomic indicators is done during economic and financial crises that have hit Mexico in between 1980-2014.

Suggested Citation

  • Almaraz-Rodríguez, Ignacio, 2016. "Crisis económica y financiera en México: causas y efectos multifactoriales," Panorama Económico, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 0(44), pages 63-81, primer se.
    • Handle: RePEc:ipn:panora:v:xi:y:2016:i:44:p:63-81
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    References listed on IDEAS

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    1. Fan, Ying & Liang, Qiang & Wei, Yi-Ming, 2008. "A generalized pattern matching approach for multi-step prediction of crude oil price," Energy Economics, Elsevier, vol. 30(3), pages 889-904, May.
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