The opening up of the Mexican economy completely transformed the growth dynamics of the per capita Gross Domestic Product (GDP) of the country's various states, with a clear tendency towards growth being concentrated in specific regions. In this study, we quantify the indirect or spillover effect of economic complexity on growth based on the following two facts: i) economic complexity is an important factor in explaining GDP growth rates, and ii) there is a clear regional pattern in the states' economic complexity, i.e., the economic complexity variable shows a positive spatial autocorrelation. Our results provide two insights: first, that the estimated positive spillover effect of complexity on growth is not negligible, particularly for states in the north of the country, whose own economic complexity is as important as that of their neighbors. In contrast, the spillover effect in southern states is negative. Being located next to states with low levels of economic complexity has a significant negative externality that almost overrides the positive effect of a state's own level of complexity. Our findings lead us to conclude that spillover effects may *The views and conclusions contained in this article are those of the authors and do not necessarily reflect the point of view of Banco de México. The comments and remarks by three anonymous referees are greatly acknowledged. They have significantly enhanced this research work.
We study the convergence hypothesis for Mexican states during the period 1994–2015 considering the impact not only of NAFTA but also of other external shocks, such as China’s entry into the World Trade Organization (WTO) in 2001 and the global financial crisis of 2008. Using econometric panel data models with no fixed effects to avoid small sample bias, the main results indicate: (a) presence of absolute divergence, consistent with a sigma process divergence, particularly in the period after the outbreak of the global crisis of 2008; and (b) a process of weakening conditional convergence across the sub‐periods analyzed.
Objetivo: Utilizando información a partir de los Informes de Movilidad elaborados por Google, particularmente el relacionado con la estadía residencial, se estima el efecto del aislamiento social sobre los contagios y defunciones por covid-19 en los estados mexicanos. Metodología: Se emplea un modelo econométrico dinámico el cual toma en consideración la potencial endogeneidad en el registro de contagios nuevos, así como el efecto rezagado que tiene la variable de aislamiento. Resultados: Los hallazgos indican una relación negativa y significativa entre la estadía residencial y la tasa de crecimiento de los contagios y defunciones. Adicionalmente, se utiliza este modelo para realizar simulaciones de los posibles efectos del nivel de distanciamiento social sobre los niveles de contagios y muertes generados por la pandemia de covid-19 hasta el 5 de julio. Limitaciones: El estudio analiza la relación entre el distanciamiento social y los contagios, y las muertes causadas por covid-19, pero no toma en consideración los costos económicos asociados (tales como reducciones en la producción y el empleo). Originalidad: Hasta donde sabemos, se trata del primer estudio para el caso de México que mide el efecto del aislamiento sobre los contagios y defunciones por covid-19 en el nivel regional. Conclusiones: Acorde con las simulaciones realizadas, se estima que de haberse registrado índices mayores de aislamiento social, se hubiesen registrado entre 135 000 y 143 000 contagios menos de covid-19.
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