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Monetary policy dysregulation with data distortion

Author

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  • Wang, Xi
  • Liu, Ying
  • Chen, Zhongfei

Abstract

There is widespread skepticism about the veracity of China’s economic data; however, its implications for making monetary policy decisions and evaluating macroeconomic models remain unclear. We show that economic data distortion introduces undesirable movements in policy interest rates and provides a seriously distorted picture of macroeconomic outcomes using a variant New Keynesian model with forward-looking variables in the sense of endogenous monetary policy. Overstated (understated) output gap data cause monetary policy more restrictive (expansionary), and may incur pro-cyclical regulating mistakes of monetary policy in a limiting case. The data distortion can increase rather than decrease actual economic instability. Actual economic fluctuations become stronger as the persistence and uncertainty of data distortion increase. The theoretical propositions are validated by the calibration and simulation work. This study contributes to a better understanding of the mechanism and effects of data distortion, and it suggests that the central bank can make policy adjustments to improve regulatory efficiency.

Suggested Citation

  • Wang, Xi & Liu, Ying & Chen, Zhongfei, 2022. "Monetary policy dysregulation with data distortion," Economic Modelling, Elsevier, vol. 116(C).
    • Handle: RePEc:eee:ecmode:v:116:y:2022:i:c:s0264999322002516
    DOI: 10.1016/j.econmod.2022.106012
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    More about this item

    Keywords

    Data distortion; Monetary policy; Dysregulation; China’s macroeconomy;
    All these keywords.

    JEL classification:

    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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