IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

Modelling inflation in China--A regional perspective

Listed author(s):
  • Mehrotra, Aaron
  • Peltonen, Tuomas
  • Santos Rivera, Alvaro

We model provincial inflation in China during the reform period. In particular, we are interested in the ability of the hybrid New Keynesian Phillips Curve (NKPC) to capture the inflation process at the provincial level. The study highlights differences in inflation formation and shows that the NKPC provides a reasonable description of the inflation process only for the coastal provinces. A probit analysis suggests that the forward-looking inflation component and the output gap are important inflation drivers in provinces that have advanced most in marketisation of the economy and have most likely experienced excess demand pressures. These results have implications for the relative effectiveness of monetary policy across the Chinese provinces.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.sciencedirect.com/science/article/pii/S1043-951X(09)00085-6
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal China Economic Review.

Volume (Year): 21 (2010)
Issue (Month): 2 (June)
Pages: 237-255

as
in new window

Handle: RePEc:eee:chieco:v:21:y:2010:i:2:p:237-255
Contact details of provider: Web page: http://www.elsevier.com/locate/chieco

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Alwyn Young, 2000. "The Razor's Edge: Distortions and Incremental Reform in the People's Republic of China," The Quarterly Journal of Economics, Oxford University Press, vol. 115(4), pages 1091-1135.
  2. Gros,Daniel & Steinherr,Alfred, 2004. "Economic Transition in Central and Eastern Europe," Cambridge Books, Cambridge University Press, number 9780521826389, May.
  3. Chen, Baizhu & Feng, Yi, 2000. "Determinants of economic growth in China: Private enterprise, education, and openness," China Economic Review, Elsevier, vol. 11(1), pages 1-15.
  4. GERLACH, Stefan & Peng, Wensheng, 2006. "Output gaps and inflation in Mainland China," China Economic Review, Elsevier, vol. 17(2), pages 210-225.
  5. Marvin Goodfriend & Eswar Prasad, 2007. "A Framework for Independent Monetary Policy in China," CESifo Economic Studies, CESifo, vol. 53(1), pages 2-41, March.
  6. Pierpaolo Benigno & David López-Salido, 2002. "Inflation persistence and optimal monetary policy in the euro area," International Finance Discussion Papers 749, Board of Governors of the Federal Reserve System (U.S.).
  7. Donald W.K. Andrews, 1999. "Higher-Order Improvements of a Computationally Attractive-Step Bootstrap for Extremum Estimators," Cowles Foundation Discussion Papers 1230R, Cowles Foundation for Research in Economics, Yale University, revised Jan 2001.
  8. Christopher F Baum & Mark E Schaffer & Steven Stillman, 2002. "IVREG2: Stata module for extended instrumental variables/2SLS and GMM estimation," Statistical Software Components S425401, Boston College Department of Economics, revised 09 Feb 2016.
  9. Lars E.O. Svensson, 2003. "Escaping from a Liquidity Trap and Deflation: The Foolproof Way and Others," NBER Working Papers 10195, National Bureau of Economic Research, Inc.
  10. Davidson, Russell & MacKinnon, James G, 1999. "Bootstrap Testing in Nonlinear Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 487-508, May.
  11. Ryota Kojima & Shinya Nakamura & Shinsuke Ohyama, 2005. "Inflation Dynamics in China," Bank of Japan Working Paper Series 05-E-9, Bank of Japan.
  12. Rudd, Jeremy & Whelan, Karl, 2005. "Does Labor's Share Drive Inflation?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(2), pages 297-312, April.
  13. Jordi Gali & Mark Gertler, 2000. "Inflation Dynamics: A Structural Econometric Analysis," NBER Working Papers 7551, National Bureau of Economic Research, Inc.
  14. Galí, Jordi & Gertler, Mark, 1999. "Inflation Dynamics: A Structural Economic Analysis," CEPR Discussion Papers 2246, C.E.P.R. Discussion Papers.
  15. Mario Biggeri, 2003. "Key Factors of Recent Chinese Provincial Economic Growth," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 1(2), pages 159-183.
  16. Albert Park and Kaja Sehrt & Albert Park and Kaja Sehrt, 1999. "Tests of Financial Intermediation and Banking Reform in China," William Davidson Institute Working Papers Series 270, William Davidson Institute at the University of Michigan.
  17. Alwyn Young, 2000. "The Razor's Edge: Distortions and Incremental Reform in the People's Republic of China," NBER Working Papers 7828, National Bureau of Economic Research, Inc.
  18. Hall, Peter & Horowitz, Joel L, 1996. "Bootstrap Critical Values for Tests Based on Generalized-Method-of-Moments Estimators," Econometrica, Econometric Society, vol. 64(4), pages 891-916, July.
  19. C. Simon Fan & Xiangdong Wei, 2006. "The Law of One Price: Evidence from the Transitional Economy of China," The Review of Economics and Statistics, MIT Press, vol. 88(4), pages 682-697, November.
  20. Pasaran, M.H. & Im, K.S. & Shin, Y., 1995. "Testing for Unit Roots in Heterogeneous Panels," Cambridge Working Papers in Economics 9526, Faculty of Economics, University of Cambridge.
  21. Hoff, Karla & Stiglitz, Joseph E., 2002. "After the Big Bang? Obstacles to the emergence of the rule of law in post-communist societies," Policy Research Working Paper Series 2934, The World Bank.
  22. Maddala, G S & Wu, Shaowen, 1999. " A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
  23. Lindé, Jesper, 2001. "Estimating New-Keynesian Phillips Curves: A Full Information Maximum Likelihood Approach," Working Paper Series 129, Sveriges Riksbank (Central Bank of Sweden), revised 30 Apr 2001.
  24. Marianne Baxter & Robert G. King, 1995. "Measuring Business Cycles Approximate Band-Pass Filters for Economic Time Series," NBER Working Papers 5022, National Bureau of Economic Research, Inc.
  25. Jeff Fuhrer & George Moore, 1995. "Inflation Persistence," The Quarterly Journal of Economics, Oxford University Press, vol. 110(1), pages 127-159.
  26. Jondeau, E. & Le Bihan, H., 2001. "Testing for a Forward-Looking Phillips Curve. Additional Evidence from European and US Data," Working papers 86, Banque de France.
  27. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
  28. Uwe Hassler & Michael Neugart, 2003. "Inflation-unemployment tradeoff and regional labor market data," Empirical Economics, Springer, vol. 28(2), pages 321-334, 04.
  29. Joerg Scheibe & David Vines, 2005. "A Phillips Curve For China," CAMA Working Papers 2005-02, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  30. Hao, Chen, 2006. "Development of financial intermediation and economic growth: The Chinese experience," China Economic Review, Elsevier, vol. 17(4), pages 347-362.
  31. Boyreau-Debray, Genevieve, 2003. "Financial intermediation and growth - Chinese style," Policy Research Working Paper Series 3027, The World Bank.
  32. Bela Balassa, 1964. "The Purchasing-Power Parity Doctrine: A Reappraisal," Journal of Political Economy, University of Chicago Press, vol. 72, pages 584-584.
  33. Scheibe, Jörg & Vines, David, 2005. "A Phillips Curve for China," CEPR Discussion Papers 4957, C.E.P.R. Discussion Papers.
  34. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
  35. Gerlach-Kristen, Petra, 2009. "Business cycle and inflation synchronisation in Mainland China and Hong Kong," International Review of Economics & Finance, Elsevier, vol. 18(3), pages 404-418, June.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:chieco:v:21:y:2010:i:2:p:237-255. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Shamier, Wendy)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.