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Institutions and Business Cycles

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  • Altug, Sumru
  • Neyapti, Bilin
  • Emin, Mustafa

Abstract

This paper investigates the relationship between the main features of business cycles and the institutional and structural characteristics of countries of up to 62 industrial, emerging and formerly centrally planned economies from all continents. We derive the business cycle characteristics using the nonparametric Harding-Pagan approach. Our analysis reveals that institutional factors have significant associations with the duration and amplitude of business cycles. Examining the determinants of business cycle synchronization for the countries in our sample, we also demonstrate that the bilateral proximity of institutional and policy environments matters in addition to the gravity arguments, trade intensity and bilateral financial linkages used in earlier studies

Suggested Citation

  • Altug, Sumru & Neyapti, Bilin & Emin, Mustafa, 2012. "Institutions and Business Cycles," CEPR Discussion Papers 8728, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:8728
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    Cited by:

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    3. Bilin Neyapti, 2018. "Income distribution and economic crises," International Finance, Wiley Blackwell, vol. 21(3), pages 273-296, December.
    4. Altug, Sumru & Tan, Barış & Gencer, Gözde, 2012. "Cyclical dynamics of industrial production and employment: Markov chain-based estimates and tests," Journal of Economic Dynamics and Control, Elsevier, vol. 36(10), pages 1534-1550.
    5. Sumru Altug & Fabio Canova, 2014. "Do Institutions and Culture Matter for Business Cycles?," Open Economies Review, Springer, vol. 25(1), pages 93-122, February.
    6. Canova, Fabio & Dallari, Pietro, 2013. "How important is tourism for the international transmission of cyclical fluctuations? Evidence from the Mediterranean," Working Paper Series 1553, European Central Bank.
    7. Fatma Erdem & Erdal Özmen, 2015. "Exchange Rate Regimes and Business Cycles: An Empirical Investigation," Open Economies Review, Springer, vol. 26(5), pages 1041-1058, November.
    8. Canova, Fabio & Ciccarelli, Matteo, 2012. "ClubMed? Cyclical fluctuations in the Mediterranean basin," Journal of International Economics, Elsevier, vol. 88(1), pages 162-175.
    9. Vadim Kufenko & Niels Geiger, 2017. "Stylized Facts of the Business Cycle: Universal Phenomenon, or Institutionally Determined?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 13(2), pages 165-187, November.
    10. Sumru Altug & Erhan Uluceviz, 2011. "Leading Indicators of Real Activity and Inflation for Turkey, 2001-2010," Koç University-TUSIAD Economic Research Forum Working Papers 1134, Koc University-TUSIAD Economic Research Forum.
    11. N. Kundan Kishor & Salome Giorgadze, 2022. "Business cycle synchronization in the CIS region," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 30(1), pages 135-158, January.
    12. Quintero Otero, Jorge David & Padilla Sierra, Alcides de Jesús, 2024. "Impacto de la sincronización sub-nacional sobre el comportamiento de los ciclos nacionales en economías emergentes con inflación objetivo," Documentos Departamento de Economía 54, Universidad del Norte.
    13. Ductor, Lorenzo & Leiva-Leon, Danilo, 2016. "Dynamics of global business cycle interdependence," Journal of International Economics, Elsevier, vol. 102(C), pages 110-127.

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    More about this item

    Keywords

    Business cycles; Institutions; Synchronization; Nonparametric analysis;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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