IDEAS home Printed from https://ideas.repec.org/a/eee/asieco/v38y2015icp104-113.html
   My bibliography  Save this article

Measuring monetary policy with empirically grounded restrictions: An application to Thailand

Author

Listed:
  • Phiromswad, Piyachart

Abstract

This paper studies the effect of monetary policy in Thailand based on structural vector autoregression (SVAR) model. Unlike all existing studies, this paper (i) properly controls for external factors, (ii) uses the identifying restrictions which are specified and justified from empirical evidence and (iii) studies the immediate as well as the short term effect of monetary policy. I find that several important stylized facts on the transmission mechanism of monetary policy need to be revised.

Suggested Citation

  • Phiromswad, Piyachart, 2015. "Measuring monetary policy with empirically grounded restrictions: An application to Thailand," Journal of Asian Economics, Elsevier, vol. 38(C), pages 104-113.
    • Handle: RePEc:eee:asieco:v:38:y:2015:i:c:p:104-113
    DOI: 10.1016/j.asieco.2015.04.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1049007815000378
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.asieco.2015.04.005?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    2. 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.
    3. Stiglitz, Joseph E., 2000. "Capital Market Liberalization, Economic Growth, and Instability," World Development, Elsevier, vol. 28(6), pages 1075-1086, June.
    4. Jordi Gali, 1999. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," American Economic Review, American Economic Association, vol. 89(1), pages 249-271, March.
    5. Galindo, Arturo & Schiantarelli, Fabio & Weiss, Andrew, 2007. "Does financial liberalization improve the allocation of investment?: Micro-evidence from developing countries," Journal of Development Economics, Elsevier, vol. 83(2), pages 562-587, July.
    6. Guillermo A. Calvo & Leonardo Leiderman & Carmen M. Reinhart, 1993. "Capital Inflows and Real Exchange Rate Appreciation in Latin America: The Role of External Factors," IMF Staff Papers, Palgrave Macmillan, vol. 40(1), pages 108-151, March.
    7. Hesse, Heiko, 2007. "Monetary policy, structural break and the monetary transmission mechanism in Thailand," Journal of Asian Economics, Elsevier, vol. 18(4), pages 649-669, August.
    8. 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.
    9. Bernanke, Ben S & Blinder, Alan S, 1992. "The Federal Funds Rate and the Channels of Monetary Transmission," American Economic Review, American Economic Association, vol. 82(4), pages 901-921, September.
    10. Disyatat, Piti & Vongsinsirikul, Pinnarat, 2003. "Monetary policy and the transmission mechanism in Thailand," Journal of Asian Economics, Elsevier, vol. 14(3), pages 389-418, June.
    11. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2007. "Assessing Structural VARs," NBER Chapters, in: NBER Macroeconomics Annual 2006, Volume 21, pages 1-106, National Bureau of Economic Research, Inc.
    12. Selva Demiralp & Kevin D. Hoover & Stephen J. Perez, 2008. "A Bootstrap Method for Identifying and Evaluating a Structural Vector Autoregression," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(4), pages 509-533, August.
    13. Matthew D. Shapiro & Mark W. Watson, 1988. "Sources of Business Cycle Fluctuations," NBER Chapters, in: NBER Macroeconomics Annual 1988, Volume 3, pages 111-156, National Bureau of Economic Research, Inc.
    14. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    15. Christopher J. Erceg & Luca Guerrieri & Christopher Gust, 2005. "Can Long-Run Restrictions Identify Technology Shocks?," Journal of the European Economic Association, MIT Press, vol. 3(6), pages 1237-1278, December.
    16. Kubo, Akihiro, 2008. "Macroeconomic impact of monetary policy shocks: Evidence from recent experience in Thailand," Journal of Asian Economics, Elsevier, vol. 19(1), pages 83-91, February.
    17. Marco Lippi & Lucrezia Reichlin, 1994. "Diffusion of Technical Change and the Decomposition of Output into Trend and Cycle," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(1), pages 19-30.
    18. Cushman, David O. & Zha, Tao, 1997. "Identifying monetary policy in a small open economy under flexible exchange rates," Journal of Monetary Economics, Elsevier, vol. 39(3), pages 433-448, August.
    19. 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.
    20. Jon Faust, 1998. "The robustness of identified VAR conclusions about money," International Finance Discussion Papers 610, Board of Governors of the Federal Reserve System (U.S.).
    21. Miyao, Ryuzo, 2002. "The Effects of Monetary Policy in Japan," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(2), pages 376-392, May.
    22. Piyachart Phiromswad, 2014. "Measuring monetary policy with empirically grounded identifying restrictions," Empirical Economics, Springer, vol. 46(2), pages 681-699, March.
    23. Bernanke, Ben S., 1986. "Alternative explanations of the money-income correlation," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 49-99, January.
    24. Charoenseang, June & Manakit, Pornkamol, 2007. "Thai monetary policy transmission in an inflation targeting era," Journal of Asian Economics, Elsevier, vol. 18(1), pages 144-157, February.
    25. Ben S.C. Fung, 2002. "A VAR analysis of the effects of monetary policy in East Asia," BIS Working Papers 119, Bank for International Settlements.
    26. Faust, Jon, 1998. "The robustness of identified VAR conclusions about money," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 49(1), pages 207-244, December.
    27. Selva Demiralp & Kevin D. Hoover, 2003. "Searching for the Causal Structure of a Vector Autoregression," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(s1), pages 745-767, December.
    28. Guillermo A. Calvo, 1998. "CAPITAL FLOWS AND CAPITAL-MARKET CRISES: The Simple Economics of Sudden Stops," Journal of Applied Economics, Taylor & Francis Journals, vol. 1(1), pages 35-54, November.
    29. Ramana Ramaswamy & Torsten Sløk, 1998. "The Real Effects of Monetary Policy in the European Union: What Are the Differences?," IMF Staff Papers, Palgrave Macmillan, vol. 45(2), pages 374-396, June.
    30. Selva Demiralp & Kevin D. Hoover, 2003. "Searching for the Causal Structure of a Vector Autoregression," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(s1), pages 745-767, December.
    31. Ross Levine, 2001. "International Financial Liberalization and Economic Growth," Review of International Economics, Wiley Blackwell, vol. 9(4), pages 688-702, November.
    32. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    33. Selva Demiralp & Kevin Hoover & Stephen Perez, 2014. "Still puzzling: evaluating the price puzzle in an empirically identified structural vector autoregression," Empirical Economics, Springer, vol. 46(2), pages 701-731, March.
    34. Hoover, Kevin D., 2005. "Automatic Inference Of The Contemporaneous Causal Order Of A System Of Equations," Econometric Theory, Cambridge University Press, vol. 21(1), pages 69-77, February.
    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. Mahathanaseth, Itthipong & Tauer, Loren W., 2019. "Monetary policy transmission through the bank lending channel in Thailand," Journal of Asian Economics, Elsevier, vol. 60(C), pages 14-32.
    2. Chanon Suwanmontri & Hiroyuki Kawashima, 2015. "Trailing and Projecting the Real Population of Bangkok to 2030," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 8(9), pages 121-121, September.
    3. Hummaira Jabeen, 2022. "Monetary Policy Shock Transmission in Emerging Markets," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(4), pages 379-390, December.
    4. Taguchi, Hiroyuki & Wanasilp, Mesa, 2017. "Monetary policy rule and its performance under inflation targeting: the evidence of Thailand," MPRA Paper 83544, University Library of Munich, Germany.
    5. Groenewold, Nicolaas, 2018. "Australia saved from the financial crisis by policy or by exports?," Journal of Policy Modeling, Elsevier, vol. 40(1), pages 118-135.

    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. Piyachart Phiromswad, 2014. "Measuring monetary policy with empirically grounded identifying restrictions," Empirical Economics, Springer, vol. 46(2), pages 681-699, March.
    2. Ramey, V.A., 2016. "Macroeconomic Shocks and Their Propagation," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 71-162, Elsevier.
    3. Rafiq, M.S. & Mallick, S.K., 2008. "The effect of monetary policy on output in EMU3: A sign restriction approach," Journal of Macroeconomics, Elsevier, vol. 30(4), pages 1756-1791, December.
    4. Marek Rusnak & Tomas Havranek & Roman Horvath, 2013. "How to Solve the Price Puzzle? A Meta-Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(1), pages 37-70, February.
    5. 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.
    6. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
    7. Gert Peersman, 2005. "What caused the early millennium slowdown? Evidence based on vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 185-207.
    8. Masagus M. Ridhwan & Henri L. F. Groot & Piet Rietveld & Peter Nijkamp, 2014. "The Regional Impact of Monetary Policy in Indonesia," Growth and Change, Wiley Blackwell, vol. 45(2), pages 240-262, June.
    9. Mai, Nhat Chi, 2016. "Monetary policies and the macroeconomic performance of Vietnam," OSF Preprints akzy4, Center for Open Science.
    10. Buckle, Robert A. & Kim, Kunhong & Kirkham, Heather & McLellan, Nathan & Sharma, Jarad, 2007. "A structural VAR business cycle model for a volatile small open economy," Economic Modelling, Elsevier, vol. 24(6), pages 990-1017, November.
    11. Yuriy Gorodnichenko, 2005. "Reduced-Rank Identification of Structural Shocks in VARs," Macroeconomics 0512011, University Library of Munich, Germany.
    12. Selva Demiralp & Kevin Hoover & Stephen Perez, 2014. "Still puzzling: evaluating the price puzzle in an empirically identified structural vector autoregression," Empirical Economics, Springer, vol. 46(2), pages 701-731, March.
    13. Pedro Garcia Duarte & Kevin D. Hoover, 2012. "Observing Shocks," History of Political Economy, Duke University Press, vol. 44(5), pages 226-249, Supplemen.
    14. Cosmas Dery & Apostolos Serletis, 2021. "Disentangling the Effects of Uncertainty, Monetary Policy and Leverage Shocks on the Economy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(5), pages 1029-1065, October.
    15. Chari, V.V. & Kehoe, Patrick J. & McGrattan, Ellen R., 2008. "Are structural VARs with long-run restrictions useful in developing business cycle theory?," Journal of Monetary Economics, Elsevier, vol. 55(8), pages 1337-1352, November.
    16. Masagus M. Ridhwan & Henri L.F. de Groot & Peter Nijkamp, 2010. "The Impact of Monetary Policy on Economic Activity - Evidence from a Meta-Analysis," Tinbergen Institute Discussion Papers 10-043/3, Tinbergen Institute.
    17. Lima, Elcyon Caiado & Maka, Alexis & Céspedes, Brisne, 2008. "Monetary Policy, Inflation and the Level of Economic Activity in Brazil After the Real Plan: Stylized Facts from SVAR Models," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 62(2), October.
    18. Ronayne, David, 2011. "Which Impulse Response Function?," Economic Research Papers 270753, University of Warwick - Department of Economics.
    19. Gouriéroux, Christian & Monfort, Alain & Renne, Jean-Paul, 2017. "Statistical inference for independent component analysis: Application to structural VAR models," Journal of Econometrics, Elsevier, vol. 196(1), pages 111-126.
    20. Bruns, Stephan B. & Moneta, Alessio & Stern, David I., 2021. "Estimating the economy-wide rebound effect using empirically identified structural vector autoregressions," Energy Economics, Elsevier, vol. 97(C).

    More about this item

    Keywords

    Thailand; Monetary policy shock; Causal search; PC algorithm; SVAR;
    All these keywords.

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • 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
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

    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:eee:asieco:v:38:y:2015:i:c:p:104-113. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/asieco .

    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.