IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-23-00331.html
   My bibliography  Save this article

Stability of Phillips Curve: The case of Taiwan

Author

Listed:
  • Kuo-Hsuan Chin

    (Department of Economics, Feng Chia University)

  • Xin-Hua Zheng

    (Department of Economics, Feng Chia University)

Abstract

We study the time-varying slope of the Phillips curve by applying a tri-variate hybrid VAR model with time-varying parameter and stochastic volatility (hybrid TVP-VAR-SV, hereafter) to Taiwan's macroeconomic data. We follow Chan and Eisenstat (2018b) by using a Bayesian approach to approximate the posterior density of (time-varying) parameters and the marginal likelihood of a model, in which the latter one is used for the model comparison. We find that the fitness of a hybrid TVP-VAR-SV model to Taiwan's data is superior to a “non-hybrid” TVP-VAR-SV model of Primiceri (2005), a widely-used one in the current studies. In particular, the estimated parameters shown in the inflation equation, found in the best model and used to characterize the Phillips curve, are time-invariant, supporting the stability of Taiwan's Phillips curve over the past four decades. Moreover, we also find the stability of Phillips curve for China, the largest trading partner for Taiwan and similar to Taiwan in both language and culture, over the past two decades.

Suggested Citation

  • Kuo-Hsuan Chin & Xin-Hua Zheng, 2024. "Stability of Phillips Curve: The case of Taiwan," Economics Bulletin, AccessEcon, vol. 44(2), pages 635-651.
    • Handle: RePEc:ebl:ecbull:eb-23-00331
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2024/Volume44/EB-24-V44-I2-P48.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 29, pages 107-142, November.
    2. Sune Karlsson & Pär Österholm, 2023. "Is the US Phillips curve stable? Evidence from Bayesian vector autoregressions," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(1), pages 287-314, January.
    3. Kuo‐Hsuan Chin, 2020. "Time varying structural VARs with sign restrictions: The case of Taiwan," Bulletin of Economic Research, Wiley Blackwell, vol. 72(1), pages 86-100, January.
    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. Zhang, Zhikai & Wang, Yudong & Xiao, Jihong & Zhang, Yaojie, 2023. "Not all geopolitical shocks are alike: Identifying price dynamics in the crude oil market under tensions," Resources Policy, Elsevier, vol. 80(C).
    2. Coşkun Akdeniz, 2021. "Construction of the Monetary Conditions Index with TVP-VAR Model: Empirical Evidence for Turkish Economy," Springer Books, in: Burcu Adıgüzel Mercangöz (ed.), Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics, edition 1, pages 215-228, Springer.
    3. Yang, Xite & Zhang, Qin & Liu, Haiyue & Liu, Zihan & Tao, Qiufan & Lai, Yongzeng & Huang, Linya, 2024. "Economic policy uncertainty, macroeconomic shocks, and systemic risk: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
    4. Azhar Mohamad & Sarveshwar Kumar Inani, 2023. "Price discovery in bitcoin spot or futures during the Covid-19 pandemic? Evidence from the time-varying parameter vector autoregressive model with stochastic volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 30(19), pages 2749-2757, November.
    5. Zouhaier Dhifaoui & Sami Ben Jabeur & Rabeh Khalfaoui & Muhammad Ali Nasir, 2023. "Time‐varying partial‐directed coherence approach to forecast global energy prices with stochastic volatility model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2292-2306, December.
    6. Helge Berger & Sune Karlsson & Pär Österholm, 2023. "A note of caution on the relation between money growth and inflation," Scottish Journal of Political Economy, Scottish Economic Society, vol. 70(5), pages 479-496, November.
    7. Zhong, Meirui & Zhang, Rui & Ren, Xiaohang, 2023. "The time-varying effects of liquidity and market efficiency of the European Union carbon market: Evidence from the TVP-SVAR-SV approach," Energy Economics, Elsevier, vol. 123(C).
    8. Tomoyuki Yagi & Yoshiyuki Kurachi & Masato Takahashi & Kotone Yamada & Hiroshi Kawata, 2022. "Pass-Through of Cost-Push Pressures to Consumer Prices," Bank of Japan Working Paper Series 22-E-17, Bank of Japan.
    9. Lu, Man & Wang, Wei & Chen, Fengwen & Li, Hongmei, 2024. "Dynamic impacts of multidimensional uncertainty on the renminbi exchange rate: Insights from time-varying analysis," International Review of Financial Analysis, Elsevier, vol. 94(C).
    10. Shioji, Etsuro, 2015. "Time varying pass-through: Will the yen depreciation help Japan hit the inflation target?," Journal of the Japanese and International Economies, Elsevier, vol. 37(C), pages 43-58.
    11. Huang, Junbo & Tian, Huiting & Shen, Weibing, 2023. "Characteristics and mechanisms of the U.S. stock market spillover effects on the Chinese A-share market: Evidence from 6 A-share broad-based and 31 sector indices," International Review of Financial Analysis, Elsevier, vol. 87(C).
    12. Robert N. McCauley & Patrick McGuire & Vladyslav Sushko, 2015. "Global dollar credit: links to US monetary policy and leverage," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 30(82), pages 187-229.
    13. Pedro Gomis-Porqueras & Romina Ruprecht & Xuan Zhou, 2023. "A Financial Stress Index for a Small Open Economy: The Australian Case," Finance and Economics Discussion Series 2023-029, Board of Governors of the Federal Reserve System (U.S.).
    14. Jiang, Yanhui & Qu, Bo & Hong, Yun & Xiao, Xiyue, 2024. "Dynamic connectedness of inflation around the world: A time-varying approach from G7 and E7 countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 111-125.
    15. SASAKI Yuri & YOSHIDA Yushi & Piotr Kansho OTSUBO, 2019. "Exchange rate pass-through on Japanese prices: Import price, producer price, and core CPI," Discussion papers 19078, Research Institute of Economy, Trade and Industry (RIETI).
    16. Xie He & Xiao-Jing Cai & Shigeyuki Hamori, 2018. "Bank Credit and Housing Prices in China: Evidence from a TVP-VAR Model with Stochastic Volatility," JRFM, MDPI, vol. 11(4), pages 1-16, December.
    17. Xiaoqing An & William A. Barnett & Xue Wang & Qingyuan Wu, 2023. "Brexit spillovers: how economic policy uncertainty affects foreign direct investment and international trade," The European Journal of Finance, Taylor & Francis Journals, vol. 29(16), pages 1913-1932, November.
    18. Freddy Ronalde Camacho-Villagomez & Yanina Shegia Bajaña-Villagomez & Andrea Johanna Rodríguez-Bustos, 2024. "Estimating the Impact of Oil Price Volatility on the Ecuadorian Economy: A MIDAS Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 14(4), pages 371-376, July.
    19. Guangyang Chen & Kai Dong & Shaonan Wang & Xiuli Du & Ronghua Zhou & Zhongwei Yang, 2022. "The Dynamic Relationship among Bank Credit, House Prices and Carbon Dioxide Emissions in China," IJERPH, MDPI, vol. 19(16), pages 1-18, August.
    20. Sheng Zhu & Ella Kavanagh & Niall O'Sullivan, 2021. "Constructing a financial conditions index for the United Kingdom: A comparative analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2976-2989, April.

    More about this item

    Keywords

    Bayesian Approach; Phillips Curve; Time Varying Parameter; Vector Autoregression.;
    All these keywords.

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

    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:ebl:ecbull:eb-23-00331. 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: John P. Conley (email available below). General contact details of provider: .

    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.