IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/128814.html

Oil Shocks, Trade Reallocation, and External Adjustment: The case of of a small open economy

Author

Listed:
  • Merino Troncoso, Carlos

Abstract

This paper analyzes the macroeconomic effects of global oil price shocks in a small open economy DSGE framework with an endogenous logistics sector. Using Panama as a case study, we estimate the model using Bayesian techniques and identify exogenous oil supply shocks through fluctuations in global oil prices. We find that oil shocks generate stagflationary dynamics, characterized by higher inflation and lower output. Importantly, higher global shipping costs induce endogenous trade reallocation toward shorter maritime routes, increasing activity through the Panama Canal. This logistics channel partially offsets output losses but does not prevent a decline in welfare due to inflation distortions and consumption volatility. The results highlight the role of trade infrastructure as a partial stabilizer in highly open and dollarized economies, while underscoring the limits of real adjustment mechanisms in the absence of independent monetary policy.

Suggested Citation

  • Merino Troncoso, Carlos, 2026. "Oil Shocks, Trade Reallocation, and External Adjustment: The case of of a small open economy," MPRA Paper 128814, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:128814
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/128814/1/MPRA_paper_128814.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models—Rejoinder," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 211-219.
    2. Vasco M. Carvalho, 2014. "From Micro to Macro via Production Networks," Journal of Economic Perspectives, American Economic Association, vol. 28(4), pages 23-48, Fall.
    3. Ben S. Bernanke & Mark Gertler & Mark Watson, 1997. "Systematic Monetary Policy and the Effects of Oil Price Shocks," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 28(1), pages 91-157.
    4. Lutz Kilian, 2014. "Oil Price Shocks: Causes and Consequences," Annual Review of Resource Economics, Annual Reviews, vol. 6(1), pages 133-154, October.
    5. Daron Acemoglu & Vasco M. Carvalho & Asuman Ozdaglar & Alireza Tahbaz‐Salehi, 2012. "The Network Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 80(5), pages 1977-2016, September.
    6. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 113-172.
    7. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    8. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    9. Jonathan Eaton & Samuel Kortum, 2002. "Technology, Geography, and Trade," Econometrica, Econometric Society, vol. 70(5), pages 1741-1779, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Paul Ho & Pierre-Daniel G. Sarte & Felipe Schwartzman, 2022. "Multilateral Comovement in a New Keynesian World: A Little Trade Goes a Long Way," Working Paper 22-10, Federal Reserve Bank of Richmond.
    2. Waggoner, Daniel F. & Wu, Hongwei & Zha, Tao, 2016. "Striated Metropolis–Hastings sampler for high-dimensional models," Journal of Econometrics, Elsevier, vol. 192(2), pages 406-420.
    3. Drago Bergholt, 2014. "Foreign shocks in an estimated multi-sector model," Working Papers No 4/2014, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    4. Mădălin Viziniuc, 2017. "Potential Gains from Cooperation Between Monetary and Macroprudential Policies: The Case of an Emerging Economy," Eastern European Economics, Taylor & Francis Journals, vol. 55(5), pages 420-452, September.
    5. Jean-Christophe Poutineau & Gauthier Vermandel, 2015. "Quelle prise en compte des caractéristiques nationales dans les mesures macroprudentielles en zone euro ?," Revue française d'économie, Presses de Sciences-Po, vol. 0(3), pages 95-141.
    6. Raffaella Giacomini, 2013. "The relationship between DSGE and VAR models," CeMMAP working papers CWP21/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Kuchta, Zbigniew, . "Sztywność płac nominalnych w modelach DSGE małej skali. Analiza empiryczna dla Polski," Gospodarka Narodowa-The Polish Journal of Economics, Szkoła Główna Handlowa w Warszawie / SGH Warsaw School of Economics, vol. 2014(6).
    8. Gregor Boehl & Gavin Goy & Felix Strobel, 2024. "A Structural Investigation of Quantitative Easing," The Review of Economics and Statistics, MIT Press, vol. 106(4), pages 1028-1044, July.
    9. Aruoba, S. Borağan & Bocola, Luigi & Schorfheide, Frank, 2017. "Assessing DSGE model nonlinearities," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 34-54.
    10. Viziniuc, Mădălin, 2021. "Winners and losers of central bank foreign exchange interventions," Economic Modelling, Elsevier, vol. 94(C), pages 748-767.
    11. Drissi, Ramzi & Ghassan, Hassan B., 2018. "Sticky Price versus Sticky Information Price: Empirical Evidence in the New Keynesian Setting," MPRA Paper 93075, University Library of Munich, Germany, revised Apr 2019.
    12. Bosch, María José & García, Carlos J. & Manríquez, Marta & Valenzuela, Gabriel, 2018. "Macroeconomía y conciliación familiar: el impacto económico de los jardines infantiles," El Trimestre Económico, Fondo de Cultura Económica, vol. 0(339), pages .543-582, julio-sep.
    13. Eijffinger, Sylvester C. W. & Grajales-Olarte, Anderson & Uras, Burak R., 2020. "Heterogeneity In Wage Setting Behavior In A New-Keynesian Model," Macroeconomic Dynamics, Cambridge University Press, vol. 24(6), pages 1512-1546, September.
    14. Benjamín García & Sebastián Guarda & Markus Kirchner & Rodrigo Tranamil, 2019. "XMAS: An extended model for analysis and simulations," Working Papers Central Bank of Chile 833, Central Bank of Chile.
    15. Sala, Luca & Söderström, Ulf & Trigari, Antonella, 2008. "Monetary policy under uncertainty in an estimated model with labor market frictions," Journal of Monetary Economics, Elsevier, vol. 55(5), pages 983-1006, July.
    16. Jonas E. Arias & Guido Ascari & Nicola Branzoli & Efrem Castelnuovo, 2020. "Positive Trend Inflation and Determinacy in a Medium-Sized New Keynesian Model," International Journal of Central Banking, International Journal of Central Banking, vol. 16(3), pages 51-94, June.
    17. Jorge Fornero & Markus Kirchner, 2018. "Learning about Commodity Cycles and Saving-Investment Dynamics in a Commodity-Exporting Economy," International Journal of Central Banking, International Journal of Central Banking, vol. 14(2), pages 205-262, March.
    18. Cúrdia, Vasco & Ferrero, Andrea & Ng, Ging Cee & Tambalotti, Andrea, 2015. "Has U.S. monetary policy tracked the efficient interest rate?," Journal of Monetary Economics, Elsevier, vol. 70(C), pages 72-83.
    19. Gehrke, Britta & Lechthaler, Wolfgang & Merkl, Christian, 2019. "The German labor market during the Great Recession: Shocks and institutions," Economic Modelling, Elsevier, vol. 78(C), pages 192-208.
    20. Hürtgen, Patrick, 2014. "Consumer misperceptions, uncertain fundamentals, and the business cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 40(C), pages 279-292.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:128814. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.