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Disaggregated Inflation Dynamics in Thailand: Which Shocks Matter?

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  • Nuwat Nookhwun
  • Pym Manopimoke

Abstract

This paper examines the role of sector-specific and common macroeconomic shocks towards explaining the dynamics of disaggregated price series and overall headline inflation in Thailand. Based on applying a Bayesian factor-augmented VAR model with zero and sign restrictions on a large dataset of macroeconomic and disaggregated price data, we identify domestic and global structural macroeconomic shocks and study their contributions to inflation volatility and dynamics. We find that sector-specific shocks account for over 80 percent of the variation in disaggregated price series. Common macroeconomic shocks, on the other hand, drive the majority of inflation dynamics at the aggregated level, in which most of these common shocks have origins that are global in nature. For Thailand, global demand and oil price shocks are the two main drivers of headline inflation, and transmit mainly through energy prices. We also find that the dominant role of global shocks helps explain the rather low persistence of Thai inflation movements, as they generate lower overall inflation persistence than domestically-oriented shocks.

Suggested Citation

  • Nuwat Nookhwun & Pym Manopimoke, 2023. "Disaggregated Inflation Dynamics in Thailand: Which Shocks Matter?," PIER Discussion Papers 211, Puey Ungphakorn Institute for Economic Research.
    • Handle: RePEc:pui:dpaper:211
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    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. Haroon Mumtaz & Paolo Surico, 2009. "The Transmission of International Shocks: A Factor-Augmented VAR Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(s1), pages 71-100, February.
    3. Altissimo, Filippo & Mojon, Benoit & Zaffaroni, Paolo, 2009. "Can aggregation explain the persistence of inflation?," Journal of Monetary Economics, Elsevier, vol. 56(2), pages 231-241, March.
    4. Juan F. Rubio-Ramírez & Daniel F. Waggoner & Tao Zha, 2010. "Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(2), pages 665-696.
    5. Forbes, Kristin & Hjortsoe, Ida & Nenova, Tsvetelina, 2018. "The shocks matter: Improving our estimates of exchange rate pass-through," Journal of International Economics, Elsevier, vol. 114(C), pages 255-275.
    6. Harald Uhlig & Pooyan Amir Ahmadi, 2012. "Measuring The Dynamic Effects Of Monetary Policy Shocks: A Bayesian Favar Approach With Sign Restriction," 2012 Meeting Papers 1060, Society for Economic Dynamics.
    7. Kristin J. Forbes, 2019. "Inflation Dynamics: Dead, Dormant, or Determined Abroad?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 50(2 (Fall)), pages 257-338.
    8. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 387-422.
    9. Ferre De Graeve & Karl Walentin, 2015. "Refining Stylized Facts from Factor Models of Inflation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(7), pages 1192-1209, November.
    10. David Finck & Peter Tillmann, 2022. "The Role of Global and Domestic Shocks for Inflation Dynamics: Evidence from Asia," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(5), pages 1181-1208, October.
    11. Neely, Christopher J. & Rapach, David E., 2011. "International comovements in inflation rates and country characteristics," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1471-1490.
    12. Jean Boivin & Marc P. Giannoni & Ilian Mihov, 2009. "Sticky Prices and Monetary Policy: Evidence from Disaggregated US Data," American Economic Review, American Economic Association, vol. 99(1), pages 350-384, March.
    13. Tommaso Monacelli & Luca Sala, 2009. "The International Dimension of Inflation: Evidence from Disaggregated Consumer Price Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(s1), pages 101-120, February.
    14. Apaitan, Tosapol & Disyatat, Piti & Manopimoke, Pym, 2020. "Thai inflation dynamics: A view from disaggregated price data," Economic Modelling, Elsevier, vol. 84(C), pages 117-134.
    15. Baumeister, Christiane & Liu, Philip & Mumtaz, Haroon, 2013. "Changes in the effects of monetary policy on disaggregate price dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 37(3), pages 543-560.
    16. Andrew Binning, 2013. "Underidentified SVAR models: A framework for combining short and long-run restrictions with sign-restrictions," Working Paper 2013/14, Norges Bank.
    17. Claudio Borio & Piti Disyatat & Dora Xia & Egon Zakrajšek, 2021. "Monetary policy, relative prices and inflation control: flexibility born out of success," BIS Quarterly Review, Bank for International Settlements, September.
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    More about this item

    Keywords

    Disaggregated prices; Inflation; Factor-augmented VAR; Sign restrictions; Monetary policy;
    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
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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