IDEAS home Printed from https://ideas.repec.org/p/fip/fedfwp/2019-19.html

Is China Fudging Its GDP Figures? Evidence from Trading Partner Data

Author

Listed:
  • John G. Fernald
  • Eric Hsu
  • Mark M. Spiegel

Abstract

We propose using imports, measured as reported exports of trading partners, as an alternative benchmark to gauge the accuracy of alternative Chinese indicators (including GDP) of fluctuations in economic activity. Externally-reported imports are likely to be relatively well measured, as well as free from domestic manipulation. Using principal components, we derive activity indices from a wide range of indicators and examine their fit to (trading-partner reported) imports. We choose a preferred index of eight non-GDP indicators (which we call the China Cyclical Activity Tracker, or C-CAT). Comparison with that index and others indicate that Chinese statistics have broadly become more reliable in measuring cyclical fluctuations over time. However, GDP adds little information relative to combinations of other indicators. Moreover, since 2013, Chinese GDP growth has shown little volatility around a gradually slowing trend. Other measures, including the C-CAT and imports, do not show this reduction in volatility. Since 2017, the C-CAT slowed from well above trend to close to trend. As of mid- 2019, it was giving the same cyclical signal as GDP.

Suggested Citation

  • John G. Fernald & Eric Hsu & Mark M. Spiegel, 2019. "Is China Fudging Its GDP Figures? Evidence from Trading Partner Data," Working Paper Series 2019-19, Federal Reserve Bank of San Francisco.
    • Handle: RePEc:fip:fedfwp:2019-19
    DOI: 10.24148/wp2019-19
    as

    Download full text from publisher

    File URL: https://www.frbsf.org/economic-research/files/wp2019-19.pdf
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.24148/wp2019-19?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
    ---><---

    Other versions of this item:

    More about this item

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:fip:fedfwp:2019-19. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Federal Reserve Bank of San Francisco Research Library (email available below). General contact details of provider: https://edirc.repec.org/data/frbsfus.html .

    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.