IDEAS home Printed from https://ideas.repec.org/p/rbp/wpaper/2010-007.html
   My bibliography  Save this paper

Bayesian Estimation of a Simple Macroeconomic Model for a Small Open and Partially Dollarized Economy

Author

Listed:
  • Salas, Jorge

    (Central Bank of Peru)

Abstract

I describe a simple new-keynesian macroeconomic model for a small open and partially dollarized economy, which closely resembles the Quarterly Projection Model (QPM) developed at the Central Bank of Peru (Vega et al. (2009)). Then I use Bayesian techniques and quarterly data from Peru to estimate a large group of parameters. The empirical findings provide support for some of the parameters values imposed in the original QPM. In contrast, I find that another group of coefficients – e.g., the weights on the forward-looking components in the aggregate demand and the Phillips curve equations, among several others – should be modified to be more consistent with the data. Furthermore, the results validate the operation of different channels of monetary policy transmission, such as the traditional interest rate channel and the exchange rate channel. I also find evidence that in the most recent part of the sample (2004 onwards), the expectations channel has become more prominent, as implied by the estimated values of the forward-looking parameters in the aggregate demand and the Phillips curve equations.

Suggested Citation

  • Salas, Jorge, 2010. "Bayesian Estimation of a Simple Macroeconomic Model for a Small Open and Partially Dollarized Economy," Working Papers 2010-007, Banco Central de Reserva del Perú.
  • Handle: RePEc:rbp:wpaper:2010-007
    as

    Download full text from publisher

    File URL: https://www.bcrp.gob.pe/docs/Publicaciones/Documentos-de-Trabajo/2010/Documento-de-Trabajo-07-2010.pdf
    File Function: Application/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. De Paoli, Bianca, 2009. "Monetary policy and welfare in a small open economy," Journal of International Economics, Elsevier, vol. 77(1), pages 11-22, February.
    2. Jesús Fernández-Villaverde, 2010. "The econometrics of DSGE models," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 1(1), pages 3-49, March.
    3. Mr. Roberto Garcia-Saltos & Mr. Douglas Laxton & Michal Andrle & Haris Munandar & Charles Freedman & Danny Hermawan, 2009. "Adding Indonesia to the Global Projection Model," IMF Working Papers 2009/253, International Monetary Fund.
    4. International Monetary Fund, 2009. "Adding Latin America to the Global Projection Model," IMF Working Papers 2009/085, International Monetary Fund.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rafael Ravnik & Nikola Bokan, 2018. "Quarterly Projection Model for Croatia," Surveys 34, The Croatian National Bank, Croatia.
    2. International Monetary Fund, 2014. "Peru: Selected Issues Paper," IMF Staff Country Reports 2014/022, International Monetary Fund.
    3. Rodolfo Cermeño & Julio Mamani-Palacios, 2013. "Regímenes Monetarios y Volatilidad del Tipo de Cambio Real: El Caso Peruano, 1995-2012," Working Papers DTE 565, CIDE, División de Economía.
    4. Joao Ribeiro, 2019. "Inflación de alimentos en Perú: El rol de la política monetaria," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 34(2), pages 81-98, October.
    5. Mr. Fei Han, 2014. "Measuring External Risks for Peru: Insights from a Macroeconomic Model for a Small Open and Partially Dollarized Economy," IMF Working Papers 2014/161, International Monetary Fund.

    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. Salas, Jorge, 2011. "Estimación bayesiana de unmodelo de pequeña economía abierta con dolarización parcial," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 22, pages 41-62.
    2. Snudden, Stephen, 2016. "Cyclical fiscal rules for oil-exporting countries," Economic Modelling, Elsevier, vol. 59(C), pages 473-483.
    3. Javier G. Gómez-Pineda & Dominique Guillaume & Kadir Tanyeri, 2015. "Systemic Risk, Aggregate Demand, and Commodity Prices," Borradores de Economia 13327, Banco de la Republica.
    4. Ms. Elif C Arbatli Saxegaard & Mr. Kenji Moriyama, 2011. "Estimating a Small Open-Economy Model for Egypt: Spillovers, Inflation Dynamics, and Implications for Monetary Policy," IMF Working Papers 2011/108, International Monetary Fund.
    5. Samano, Daniel, 2011. "In the quest of macroprudential policy tools," MPRA Paper 30738, University Library of Munich, Germany.
    6. Ioan Carabenciov & Charles Freedman & Mr. Roberto Garcia-Saltos & Mr. Douglas Laxton & Mr. Ondrej Kamenik & Mr. Petar Manchev, 2013. "GPM6: The Global Projection Model with 6 Regions," IMF Working Papers 2013/087, International Monetary Fund.
    7. Salas, Jorge, 2009. "¿Qué explica las fluctuaciones de la inflación en el Perú en el periodo 2002-2008? Evidencia de un análisis VAR estructural," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 16, pages 9-36.
    8. De Paoli, Bianca & Küçük-Tuger, Hande & Søndergaard, Jens, 2010. "Monetary policy rules and foreign currency positions," LSE Research Online Documents on Economics 121699, London School of Economics and Political Science, LSE Library.
    9. Gürkaynak, Refet S. & Kısacıkoğlu, Burçin & Lee, Sang Seok, 2022. "Exchange rate and inflation under weak monetary policy: Turkey verifies theory," CFS Working Paper Series 679, Center for Financial Studies (CFS).
    10. Richard T. Froyen & Alfred V Guender, 2016. "The Real Exchange Rate in Open-Economy Taylor Rules: A Re-Assessment," Working Papers in Economics 16/10, University of Canterbury, Department of Economics and Finance.
    11. Georgiadis, Georgios & Zhu, Feng, 2021. "Foreign-currency exposures and the financial channel of exchange rates: Eroding monetary policy autonomy in small open economies?," Journal of International Money and Finance, Elsevier, vol. 110(C).
    12. Paul Castillo & Carlos Montoro & Vicente Tuesta, 2005. "Inflation Premium and Oil Price Volatility," Working Papers Central Bank of Chile 350, Central Bank of Chile.
    13. Lovchikova, Marina & Matschke, Johannes, 2024. "Capital controls and the global financial cycle," European Economic Review, Elsevier, vol. 163(C).
    14. Auray, Stéphane & de Blas, Beatriz & Eyquem, Aurélien, 2011. "Ramsey policies in a small open economy with sticky prices and capital," Journal of Economic Dynamics and Control, Elsevier, vol. 35(9), pages 1531-1546, September.
    15. Duncan, Roberto, 2014. "Institutional quality, the cyclicality of monetary policy and macroeconomic volatility," Journal of Macroeconomics, Elsevier, vol. 39(PA), pages 113-155.
    16. Christoph Himmels & Tatiana Kirsanova, 2009. "The interest rate - exchange rate nexus: exchange rate regimes and policy equilibria," Discussion Papers 0904, University of Exeter, Department of Economics.
    17. Stéphane Auray & Aurélien Eyquem & Paul Gomme, 2016. "A Tale Of Tax Policies In Open Economies," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(4), pages 1299-1333, November.
    18. Bianca De Paoli, 2009. "Monetary Policy under Alternative Asset Market Structures: The Case of a Small Open Economy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(7), pages 1301-1330, October.
    19. Chen, Sihao & Devereux, Michael B. & Shi, Kang & Xu, Juanyi, 2021. "Exchange rates, local currency pricing and international tax policies," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 460-472.
    20. Flamini, Alessandro & Milas, Costas, 2015. "Distribution forecast targeting in an open-economy, macroeconomic volatility and financial implications," Journal of Financial Stability, Elsevier, vol. 16(C), pages 89-105.

    More about this item

    Keywords

    Monetary Policy; Partial Dollarization; Bayesian Estimation;
    All these keywords.

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General

    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:rbp:wpaper:2010-007. 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: Research Unit (email available below). General contact details of provider: https://edirc.repec.org/data/bcrgvpe.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.