IDEAS home Printed from https://ideas.repec.org/a/eee/chieco/v25y2013icp88-104.html
   My bibliography  Save this article

Factor-augmented VAR analysis of the monetary policy in China

Author

Listed:
  • He, Qing
  • Leung, Pak-Ho
  • Chong, Terence Tai-Leung

Abstract

We investigate the transmission mechanism of monetary policy in China over the past decades with emphasis on the post-Asian crisis period. A factor-augmented VAR method is used to study the effectiveness of monetary policy instruments in stabilizing the Chinese economy. We find that repo rate, benchmark lending rate, and a market-based monetary stance have little impact on the Chinese economy, and are only mildly effective when the exchange rate is more market-determined. The non-market-based measures of People's Bank of China, such as growth rates of total loan and money supply, are effective in adjusting the real economy and price level. Given the slow pace of exchange rate reform, China is likely to continue employing non-market-based policies in the near future.

Suggested Citation

  • He, Qing & Leung, Pak-Ho & Chong, Terence Tai-Leung, 2013. "Factor-augmented VAR analysis of the monetary policy in China," China Economic Review, Elsevier, vol. 25(C), pages 88-104.
    • Handle: RePEc:eee:chieco:v:25:y:2013:i:c:p:88-104
    DOI: 10.1016/j.chieco.2013.03.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1043951X13000205
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.chieco.2013.03.001?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. Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 2005. "The Generalized Dynamic Factor Model: One-Sided Estimation and Forecasting," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 830-840, September.
    2. He, Qing & Tai-Leung Chong, Terence & Shi, Kang, 2009. "What accounts for Chinese Business Cycle?," China Economic Review, Elsevier, vol. 20(4), pages 650-661, December.
    3. Jörg Breitung & Sandra Eickmeier, 2006. "Dynamic Factor Models," Springer Books, in: Olaf Hübler & Jachim Frohn (ed.), Modern Econometric Analysis, chapter 3, pages 25-40, Springer.
    4. James H. Stock & Mark W. Watson, 2005. "Implications of Dynamic Factor Models for VAR Analysis," NBER Working Papers 11467, National Bureau of Economic Research, Inc.
    5. Loren Brandt & Xiaodong Zhu, 2000. "Redistribution in a Decentralized Economy: Growth and Inflation in China under Reform," Journal of Political Economy, University of Chicago Press, vol. 108(2), pages 422-451, April.
    6. Sims, Christopher A., 1992. "Interpreting the macroeconomic time series facts : The effects of monetary policy," European Economic Review, Elsevier, vol. 36(5), pages 975-1000, June.
    7. Marvin Goodfriend & Eswar Prasad, 2009. "A Framework for Independent Monetary Policy in China," Chapters, in: Gill Hammond & Ravi Kanbur & Eswar Prasad (ed.), Monetary Policy Frameworks for Emerging Markets, chapter 8, Edward Elgar Publishing.
    8. Nicholas R. Lardy, 2005. "Exchange Rate and Monetary Policy in China," Cato Journal, Cato Journal, Cato Institute, vol. 25(1), pages 41-47, Winter.
    9. Dickinson, David & Liu, Jia, 2007. "The real effects of monetary policy in China: An empirical analysis," China Economic Review, Elsevier, vol. 18(1), pages 87-111.
    10. Rudebusch, Glenn D, 1998. "Do Measures of Monetary Policy in a VAR Make Sense? A Reply," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 943-948, November.
    11. Fan, Longzhen & Yu, Yihong & Zhang, Chu, 2011. "An empirical evaluation of China's monetary policies," Journal of Macroeconomics, Elsevier, vol. 33(2), pages 358-371, June.
    12. 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.
    13. Sun, Lixin & Ford, J.L. & Dickinson, David G., 2010. "Bank loans and the effects of monetary policy in China: VAR/VECM approach," China Economic Review, Elsevier, vol. 21(1), pages 65-97, March.
    14. Mr. Eswar S Prasad & Mr. Qing Wang & Mr. Thomas Rumbaugh, 2005. "Putting the Cart Before the Horse? Capital Account Liberalization and Exchange Rate Flexibility in China," IMF Policy Discussion Papers 2005/001, International Monetary Fund.
    15. Julan Du & Qing He & Oliver Rui, 2010. "Does financial deepening promote risk sharing in China?," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 15(4), pages 369-387.
    16. Mehrotra, Aaron N., 2007. "Exchange and interest rate channels during a deflationary era--Evidence from Japan, Hong Kong and China," Journal of Comparative Economics, Elsevier, vol. 35(1), pages 188-210, March.
    17. Du, Julan & He, Qing & Rui, Oliver M., 2011. "Channels of interprovincial risk sharing in China," Journal of Comparative Economics, Elsevier, vol. 39(3), pages 383-405, September.
    18. Jean Boivin & Marc P. Giannoni, 2006. "Has Monetary Policy Become More Effective?," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 445-462, August.
    19. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-162, April.
    20. Koivu, Tuuli, 2009. "Has the Chinese economy become more sensitive to interest rates? Studying credit demand in China," China Economic Review, Elsevier, vol. 20(3), pages 455-470, September.
    21. Rudebusch, Glenn D, 1998. "Do Measures of Monetary Policy in a VAR Make Sense?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 907-931, November.
    22. Qing He & Jack W. Hou & Boqun Wang & Ning Zhang, 2014. "Time-varying volatility in the Chinese economy: A regional perspective," Papers in Regional Science, Wiley Blackwell, vol. 93(2), pages 249-268, June.
    23. Massimiliano Marcellino & Carlo A. Favero & Francesca Neglia, 2005. "Principal components at work: the empirical analysis of monetary policy with large data sets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 603-620.
    24. Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
    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. He, Qing & Chen, Haiqiang, 2014. "Recent macroeconomic stability in China," China Economic Review, Elsevier, vol. 30(C), pages 505-519.
    2. Banerjee, Anindya & Marcellino, Massimiliano & Masten, Igor, 2014. "Forecasting with factor-augmented error correction models," International Journal of Forecasting, Elsevier, vol. 30(3), pages 589-612.
    3. 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.
    4. Bork, Lasse, 2009. "Estimating US Monetary Policy Shocks Using a Factor-Augmented Vector Autoregression: An EM Algorithm Approach," Finance Research Group Working Papers F-2009-03, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    5. 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.
    6. Forni, Mario & Gambetti, Luca, 2010. "The dynamic effects of monetary policy: A structural factor model approach," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 203-216, March.
    7. Matteo Luciani, 2015. "Monetary Policy and the Housing Market: A Structural Factor Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(2), pages 199-218, March.
    8. Girardin, Eric & Moussa, Zakaria, 2011. "Quantitative easing works: Lessons from the unique experience in Japan 2001â2006," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(4), pages 461-495, October.
    9. Lutz Kilian, 2013. "Structural vector autoregressions," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 22, pages 515-554, Edward Elgar Publishing.
    10. Erdemlioglu, Deniz, 2009. "Macro Factors in UK Excess Bond Returns: Principal Components and Factor-Model Approach," MPRA Paper 28895, University Library of Munich, Germany.
    11. Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," PSE Working Papers halshs-02262202, HAL.
    12. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    13. Forni, Mario & Hallin, Marc & Lippi, Marco & Zaffaroni, Paolo, 2015. "Dynamic factor models with infinite-dimensional factor spaces: One-sided representations," Journal of Econometrics, Elsevier, vol. 185(2), pages 359-371.
    14. Helmut Lütkepohl, 2014. "Structural Vector Autoregressive Analysis in a Data Rich Environment: A Survey," SFB 649 Discussion Papers SFB649DP2014-004, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    15. Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," Working Papers 2019-4, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    16. Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," Working Papers halshs-02262202, HAL.
    17. Carlo A. Favero, 2007. "Model Evaluation in Macroeconometrics: from early empirical macroeconomic models to DSGE models," Working Papers 327, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    18. Rangan Gupta & Alain Kabundi & Stephen M. Miller, 2009. "Using Large Data Sets to Forecast Housing Prices: A Case Study of Twenty US States," Working Papers 200912, University of Pretoria, Department of Economics.
    19. Stefan Angrick & Naoyuki Yoshino, 2020. "From Window Guidance to Interbank Rates: Tracing the Transition of Monetary Policy in Japan and China," International Journal of Central Banking, International Journal of Central Banking, vol. 16(3), pages 279-316, June.
    20. Moench, Emanuel, 2008. "Forecasting the yield curve in a data-rich environment: A no-arbitrage factor-augmented VAR approach," Journal of Econometrics, Elsevier, vol. 146(1), pages 26-43, September.

    More about this item

    Keywords

    Factor model; Principal components; VAR; Monetary policy;
    All these keywords.

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables

    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:chieco:v:25:y:2013:i:c:p:88-104. 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/chieco .

    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.