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On the synchronization of the business cycles of Mexican states and its relationship to their economic complexity, 2000–2014

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  • Manuel Gómez‐Zaldívar
  • Alejandra Llanos‐Guerrero

Abstract

In a recent study, Mejía‐Reyes, Díaz‐Carreño, and Aroca analyzed the synchronization of the business cycles of the states of Mexico. Using an extended gravitational model, they propose and test a set of variables to explain the co‐movement of those cycles. Following on from their work, this paper proposes that one variable in particular, economic complexity, not only explains the synchronization of the business cycles of Mexican states but, in fact, also does a better job at explaining it on its own than the entire set of seven variables proposed by Mejía‐Reyes et al. (2019). The paper provides a more parsimonious specification to explain the co‐movement of the states’ business cycles by using a single variable that contains information on their relative productive structures.

Suggested Citation

  • Manuel Gómez‐Zaldívar & Alejandra Llanos‐Guerrero, 2021. "On the synchronization of the business cycles of Mexican states and its relationship to their economic complexity, 2000–2014," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1576-1592, September.
    • Handle: RePEc:bla:growch:v:52:y:2021:i:3:p:1576-1592
    DOI: 10.1111/grow.12525
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    References listed on IDEAS

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    1. Cesar A. Hidalgo & Ricardo Hausmann, 2009. "The Building Blocks of Economic Complexity," Papers 0909.3890, arXiv.org.
    2. Lawrence J. Christiano & Terry J. Fitzgerald, 2003. "The Band Pass Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 435-465, May.
    3. Hanson, Gordon H., 1998. "Regional adjustment to trade liberalization," Regional Science and Urban Economics, Elsevier, vol. 28(4), pages 419-444, July.
    4. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    5. Chiquiar, Daniel & Covarrubias, Enrique & Salcedo, Alejandrina, 2016. "Labor market consequences of trade openness and competition in foreign markets," Conference papers 332760, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    6. Juan Carlos Chávez & Marco T. Mosqueda & Manuel Gómez-Zaldívar, 2017. "Economic Complexity and Regional Growth Performance: Evidence from the Mexican Economy," The Review of Regional Studies, Southern Regional Science Association, vol. 47(2), pages 201-219, Summer.
    7. Keith Phillips & Jesus Cañas, 2008. "Regional business cycle integration along the US–Mexico border," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(1), pages 153-168, March.
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