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Northern Is Better? A Quantitative Transaction Costs Analysis of the Northern Invasion Phenomenon, Genoa 1590-1616

Author

Listed:
  • Antonio Iodice

    (University of Exeter
    Università di Genova)

  • Luigi Oddo

    (Università di Genova)

Abstract

This paper quantitatively analyses the role of transaction costs in Northern vessels' operating expenses versus their Mediterranean competitors between 1590 and 1616. It is based on an understudied risk-sharing institution, General Average (GA), and on data extrapolated from the AveTransRisk database and unpublished archival sources. We apply a Structural Vector Autoregression Model (SVAR) analysis by considering the Northern Invasion phenomenon as a series of structural shocks on Mediterranean seaborne trade. The SVAR model will test how the greater reliability of Northern vessels, constantly highlighted by the literature on the Northern Invasion, impacted on the repartition of damages following a GA, considered as a proxy of transaction costs. Results support the interpretation according to whom the transaction costs played a relevant role in the persistency of the Northern Invasion in the Mediterranean Sea.

Suggested Citation

  • Antonio Iodice & Luigi Oddo, 2022. "Northern Is Better? A Quantitative Transaction Costs Analysis of the Northern Invasion Phenomenon, Genoa 1590-1616," Annals of the Fondazione Luigi Einaudi. An Interdisciplinary Journal of Economics, History and Political Science, Fondazione Luigi Einaudi, Torino (Italy), vol. 56(1), pages 191-218, June.
    • Handle: RePEc:fle:journl:v:56:y:2022:i:1:p:191-218
    DOI: 10.26331/1177
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    References listed on IDEAS

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    1. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    2. Christiano, Lawrence J. & Eichenbaum, Martin & Evans, Charles L., 1999. "Monetary policy shocks: What have we learned and to what end?," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 2, pages 65-148, Elsevier.
    3. North,Douglass C., 1991. "Institutions, Institutional Change and Economic Performance," Cambridge Books, Cambridge University Press, number 9780521394161, January.
    4. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    5. Stefano Fenoaltea, 1988. "Transaction Costs, Whig History, and the Common Fields," Politics & Society, , vol. 16(2-3), pages 171-240, June.
    6. Arias, Jonas E. & Caldara, Dario & Rubio-Ramírez, Juan F., 2019. "The systematic component of monetary policy in SVARs: An agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 101(C), pages 1-13.
    7. Fenoaltea, Stefano, 1976. "Risk, transaction costs, and the organization of medieval agriculture," Explorations in Economic History, Elsevier, vol. 13(2), pages 129-151, April.
    8. Nicolini, Esteban A., 2007. "Was Malthus right? A VAR analysis of economic and demographic interactions in pre-industrial England," European Review of Economic History, Cambridge University Press, vol. 11(1), pages 99-121, April.
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    More about this item

    Keywords

    Northern Invasion; Transaction Costs; General Average; Shipping; SVAR;
    All these keywords.

    JEL classification:

    • N44 - Economic History - - Government, War, Law, International Relations, and Regulation - - - Europe: 1913-
    • N73 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - Europe: Pre-1913
    • N23 - Economic History - - Financial Markets and Institutions - - - Europe: Pre-1913

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