IDEAS home Printed from https://ideas.repec.org/p/apc/wpaper/2016-063.html
   My bibliography  Save this paper

Asymmetric Exchange Rate Pass-through: Evidence from Nonlinear SVARs

Author

Listed:
  • Fernando J. Pérez Forero

    (Central Reserve Bank of Peru)

  • Marco Vega

    (Central Reserve Bank of Peru)

Abstract

We study the response of headline inflation to exchange rate innovations in a nonlinear context, where we distinguish between positive (depreciation) and negative (appreciation) exchange rate shocks. For that purpose, we specify a nonlinear Structural Vector Autoregressive (SVAR) model and we compute asymmetric impulse response functions for headline inflation after exchange rate innovations. We introduce a bootstrap Monte Carlo routine that allows to compute the error bands for these nonlinear impulse responses. Results for the Peruvian economy exhibit a remarkable statistically significant asymmetry in the response of headline inflation, both on impact and on propagation. In absolute values, the effect of a depreciation shock after one year is about twice the size of that corresponding to an appreciation shock. Roughly speaking, the one-year exchange rate pass-through to prices is 20 percent under a depreciation and only 10 percent under an appreciation.

Suggested Citation

  • Fernando J. Pérez Forero & Marco Vega, 2016. "Asymmetric Exchange Rate Pass-through: Evidence from Nonlinear SVARs," Working Papers 63, Peruvian Economic Association.
    • Handle: RePEc:apc:wpaper:2016-063
    as

    Download full text from publisher

    File URL: http://perueconomics.org/wp-content/uploads/2014/01/WP-63.pdf
    File Function: Application/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Potter, Simon M., 2000. "Nonlinear impulse response functions," Journal of Economic Dynamics and Control, Elsevier, vol. 24(10), pages 1425-1446, September.
    2. Hamilton, James D., 2011. "Nonlinearities And The Macroeconomic Effects Of Oil Prices," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 364-378, November.
    3. Lutz Kilian & Robert J. Vigfusson, 2011. "Are the responses of the U.S. economy asymmetric in energy price increases and decreases?," Quantitative Economics, Econometric Society, vol. 2(3), pages 419-453, November.
    4. Inoue, Atsushi & Kilian, Lutz, 2013. "Inference on impulse response functions in structural VAR models," Journal of Econometrics, Elsevier, vol. 177(1), pages 1-13.
    5. Miller, Shirley, 2003. "Estimación del pass-through del tipo de cambio a precios: 1995-2002," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 10.
    6. Galindo, Arturo & Panizza, Ugo & Schiantarelli, Fabio, 2003. "Debt composition and balance sheet effects of currency depreciation: a summary of the micro evidence," Emerging Markets Review, Elsevier, vol. 4(4), pages 330-339, December.
    7. Maertens Odria, Luís Ricardo & Castillo, Paul & Rodriguez, Gabriel, 2012. "Does the exchange rate pass-through into prices change when inflation targeting is adopted? The Peruvian case study between 1994 and 2007," Journal of Macroeconomics, Elsevier, vol. 34(4), pages 1154-1166.
    8. Delatte, Anne-Laure & López-Villavicencio, Antonia, 2012. "Asymmetric exchange rate pass-through: Evidence from major countries," Journal of Macroeconomics, Elsevier, vol. 34(3), pages 833-844.
    9. Christopher A. Sims & Tao Zha, 1999. "Error Bands for Impulse Responses," Econometrica, Econometric Society, vol. 67(5), pages 1113-1156, September.
    10. Cletus C. Coughlin & Patricia S. Pollard, 2004. "Size matters: asymmetric exchange rate pass-through at the industry level," Working Papers 2003-029, Federal Reserve Bank of St. Louis.
    11. Ball, Laurence & Mankiw, N Gregory, 1994. "Asymmetric Price Adjustment and Economic Fluctuations," Economic Journal, Royal Economic Society, vol. 104(423), pages 247-261, March.
    12. Winkelried, Diego, 2003. "¿Es asimétrico el pass-through en el Perú?: Un análisis agregado," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 10.
    13. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    14. Jochen Meyer & Stephan von Cramon‐Taubadel, 2004. "Asymmetric Price Transmission: A Survey," Journal of Agricultural Economics, Wiley Blackwell, vol. 55(3), pages 581-611, November.
    15. Shintani, Mototsugu & Terada-Hagiwara, Akiko & Yabu, Tomoyoshi, 2013. "Exchange rate pass-through and inflation: A nonlinear time series analysis," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 512-527.
    16. Helmut Lütkepohl & Anna Staszewska-Bystrova & Peter Winker, 2015. "Confidence Bands for Impulse Responses: Bonferroni vs. Wald," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(6), pages 800-821, December.
    17. Diego Winkelried, 2014. "Exchange rate pass-through and inflation targeting in Peru," Empirical Economics, Springer, vol. 46(4), pages 1181-1196, June.
    18. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    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. Verbrugge, Randal & Zaman, Saeed, 2023. "The hard road to a soft landing: Evidence from a (modestly) nonlinear structural model," Energy Economics, Elsevier, vol. 123(C).

    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. Pérez, Fernando & Vega, Marco, 2015. "Asymmetric exchange rate pass-through: Evidence from Peru," Working Papers 2015-011, Banco Central de Reserva del Perú.
    2. Donayre, Luiggi & Panovska, Irina, 2016. "State-dependent exchange rate pass-through behavior," Journal of International Money and Finance, Elsevier, vol. 64(C), pages 170-195.
    3. Matthias R Fengler & Jeannine Polivka, 2025. "Structural Volatility Impulse Response Analysis," Journal of Financial Econometrics, Oxford University Press, vol. 23(2), pages 951-971.
    4. Rodriguez, Gabriel & Castillo B., Paul & Calero, Roberto & Salcedo Cisneros, Rodrigo & Ataurima Arellano, Miguel, 2024. "Evolution of the exchange rate pass-through into prices in Peru: An empirical application using TVP-VAR-SV models," Journal of International Money and Finance, Elsevier, vol. 142(C).
    5. Liu, Donghui & Meng, Lingjie & Wang, Yudong, 2020. "Oil price shocks and Chinese economy revisited: New evidence from SVAR model with sign restrictions," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 20-32.
    6. Castellares, Renzo & Toma, Hiroshi, 2020. "Effects of a mandatory local currency pricing law on the exchange rate pass-through," Journal of International Money and Finance, Elsevier, vol. 106(C).
    7. Knotek, Edward S. & Zaman, Saeed, 2021. "Asymmetric responses of consumer spending to energy prices: A threshold VAR approach," Energy Economics, Elsevier, vol. 95(C).
    8. Lütkepohl, Helmut & Staszewska-Bystrova, Anna & Winker, Peter, 2020. "Constructing joint confidence bands for impulse response functions of VAR models – A review," Econometrics and Statistics, Elsevier, vol. 13(C), pages 69-83.
    9. Hernán Rincón & Norberto Rodríguez, 2016. "Nonlinear Pass-Through of Exchange Rate Shocks on Inflation: A Bayesian Smooth Transition VAR Approach," IHEID Working Papers 13-2016, Economics Section, The Graduate Institute of International Studies.
    10. Giovanni Ballarin, 2023. "Impulse Response Analysis of Structural Nonlinear Time Series Models," Papers 2305.19089, arXiv.org, revised Feb 2025.
    11. Oscar Jorda, 2003. "Model-Free Impulse Responses," Working Papers 305, University of California, Davis, Department of Economics.
    12. Thomas F. P. Wiesen & Paul M. Beaumont, 2024. "A joint impulse response function for vector autoregressive models," Empirical Economics, Springer, vol. 66(4), pages 1553-1585, April.
    13. Saki Bigio & Jorge Salas, 2006. "Non-Linear Effects of Monetary Policy and Real Exchange Rate Shocks in Partially Dollarized Economies: An Empirical Study for Peru," Working Papers 2006-008, Banco Central de Reserva del Perú.
    14. Gonçalves, Sílvia & Herrera, Ana María & Kilian, Lutz & Pesavento, Elena, 2021. "Impulse response analysis for structural dynamic models with nonlinear regressors," Journal of Econometrics, Elsevier, vol. 225(1), pages 107-130.
    15. Maertens Odria, Luís Ricardo & Castillo, Paul & Rodriguez, Gabriel, 2012. "Does the exchange rate pass-through into prices change when inflation targeting is adopted? The Peruvian case study between 1994 and 2007," Journal of Macroeconomics, Elsevier, vol. 34(4), pages 1154-1166.
    16. Òscar Jordà, 2005. "Estimation and Inference of Impulse Responses by Local Projections," American Economic Review, American Economic Association, vol. 95(1), pages 161-182, March.
    17. Oscar Jorda, 2003. "Model-Free Impulse Responses," Working Papers 38, University of California, Davis, Department of Economics.
    18. Pozo, Veronica F. & Bachmeier, Lance J. & Schroeder, Ted C., 2021. "Are there price asymmetries in the U.S. beef market?," Journal of Commodity Markets, Elsevier, vol. 21(C).
    19. Hernán Rincón-Castro & Norberto Rodríguez-Niño, 2018. "Nonlinear state and shock dependence of exchange rate pass through on prices," BIS Working Papers 690, Bank for International Settlements.
    20. Winkelried, Diego, 2012. "Traspaso del tipo de cambio y metas de inflación en el Perú," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 23, pages 9-24.

    More about this item

    Keywords

    Exchange rate pass-through; asymmetric impulse responses; non-linear SVARs; Bootstrap; Monte Carlo;
    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
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • F31 - International Economics - - International Finance - - - Foreign Exchange

    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:apc:wpaper:2016-063. 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: Nelson Ramírez-Rondán (email available below). General contact details of provider: https://edirc.repec.org/data/peruvea.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.