With this report, Atlanta Federal Reserve Bank and Emory University economists construct a time series of quarterly expenditure-based gross domestic product (GDP-exp) data that avoids excessive smoothness. Such a quarterly series is not officially available from Chinese statistical and government agencies. Included in the report are all major components of GDP-exp, along with eight subcomponents of household consumption. These quarterly data are seasonally adjusted and extend back to 2000Q1. Both nominal and real series are available, as well as the corresponding quarterly price deflator for each series. This new dataset offers researchers the opportunity to study macroeconomic fluctuations in China, an important yet understudied topic.
In the data files located on the “Data Archives” tab, the “VariableNames” sheet lists all the variable names and the “Data” sheet provides all the quarterly series.
When using this dataset, please cite "Constructing Quarterly Chinese Time Series Usable for Macroeconomic Analysis," authored by Kaiji Chen, Patrick Higgins, and Tao Zha, published in Journal of International Money and Finance 143 (2024) 103052. This publication details the methodology used to construct the dataset and provides empirical applications based on it.