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Constructing Quarterly Chinese Time Series Usable for Macroeconomic Analysis

Author

Listed:
  • Kaiji Chen
  • Patrick C. Higgins
  • Tao Zha

Abstract

During episodes such as the global financial crisis and the Covid-19 pandemic, China experienced notable fluctuations in its GDP growth and key expenditure components. To explore the primary sources of these fluctuations, we construct a comprehensive dataset of GDP and its components in both nominal and real terms at a quarterly frequency. Applying two SVAR models to this dataset, we uncover the principal drivers of China's economic fluctuations across different episodes. In particular, our findings underscore the distinct impacts of consumption-constrained shocks on household consumption and its various subcomponents throughout the Covid-19 pandemic.

Suggested Citation

  • Kaiji Chen & Patrick C. Higgins & Tao Zha, 2024. "Constructing Quarterly Chinese Time Series Usable for Macroeconomic Analysis," NBER Working Papers 32087, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:32087
    Note: DEV EFG ME
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    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E02 - Macroeconomics and Monetary Economics - - General - - - Institutions and the Macroeconomy

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