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Business cycle synchronization across U.S. states

Author

Listed:
  • Aguiar-Conraria Luís

    (Universidade do Minho, NIPE and Departamento de Economia, Largo do Paço, 4704-553 Braga, Portugal)

  • Brinca Pedro

    (Nova School of Business and Economics, Lisbon, Portugal)

  • Guðjónsson Haukur Viðar

    (Stockholm University, Department of Economics, Stockholm, Sweden)

  • Soares Maria Joana

    (Universidade do Minho, NIPE and Departmento de Matemática e Aplicações, Largo do Paço, 4704-553 Braga, Portugal)

Abstract

We use wavelet analysis to conclude that individual U.S. states’ business cycles are very well synchronized. We also find evidence of a strong and significant correlation between business cycle dissimilitudes and the distance between each pair of states, consistent to gravity type mechanisms where distance affects trade. Trade, in turn, increases business cycle synchronization, while a higher degree of industry specialization is associated with a higher dissimilitude of the state cycle with the aggregate economy. Finally, there is evidence that business cycle dissimilitudes have been decreasing with time, consistent with the previous findings coupled with the idea that information and communications technology make distances smaller.

Suggested Citation

  • Aguiar-Conraria Luís & Brinca Pedro & Guðjónsson Haukur Viðar & Soares Maria Joana, 2017. "Business cycle synchronization across U.S. states," The B.E. Journal of Macroeconomics, De Gruyter, vol. 17(1), pages 1-15, January.
  • Handle: RePEc:bpj:bejmac:v:17:y:2017:i:1:p:15:n:4
    DOI: 10.1515/bejm-2015-0158
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Gupta, Rangan & Ma, Jun & Risse, Marian & Wohar, Mark E., 2018. "Common business cycles and volatilities in US states and MSAs: The role of economic uncertainty," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 317-337.
    2. Emanuele De Meo & Giacomo Tizzanini, 2021. "GDP‐network CoVaR: A tool for assessing growth‐at‐risk," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 50(2), July.
    3. Fernandes, Daniel, 2022. "Business Cycle Accounting for the COVID-19 Recession," MPRA Paper 111577, University Library of Munich, Germany.
    4. Gießler Stefan & Heinisch Katja & Holtemöller Oliver, 2021. "(Since When) Are East and West German Business Cycles Synchronised?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 241(1), pages 1-28, February.
    5. Scholl, Christoph, 2022. "COVID-19 and the GDP fall in Germany: A Business Cycle Accounting Approach," MPRA Paper 111570, University Library of Munich, Germany.
    6. Mustapha Olalekan Ojo & Luís Aguiar-Conraria & Maria Joana Soares, 2019. "A Time-Frequency Analysis of Sovereign Debt Contagion in Europe," NIPE Working Papers 11/2019, NIPE - Universidade do Minho.
    7. Gómez-Zaldívar, Manuel & Garcia-Barragan, Fernando, 2022. "Trade Integration and Intra-national Business Cycle Synchronization: Evidence from Mexico’s States from 1980 to 2019," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 37(2), pages 216-234.
    8. Gandjon Fankem, Gislain Stéphane & Fouda Mbesa, Lucien Cédric, 2023. "Business cycle synchronization and African monetary union: A wavelet analysis," Journal of Macroeconomics, Elsevier, vol. 77(C).

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    More about this item

    Keywords

    business cycle synchronization; continuous wavelet transform; trade;
    All these keywords.

    JEL classification:

    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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