Assessing the Accuracy of China’s Economic Rebound from COVID-19

People wearing face masks while shopping in downtown Chengdu, China

Lockdowns to slow the spread of COVID-19 have taken a toll on economies around the world, and China is no exception. COVID-19 peaked in China in January and February. As a result, economic activity plunged earlier in China than in most other places.

The country reported that real gross domestic product (GDP) in the first quarter of 2020 fell 6.8% compared with a year earlier. More recent numbers suggest that activity rebounded sharply in the second quarter, with reported GDP rising 3.2% from a year earlier.

The San Francisco Fed’s China Cyclical Activity Tracker—China CAT, for short—is one new way we have developed to assess these official economic reports. Our latest update to the index confirms the broad reliability of China’s officially reported growth figures.

Taking a closer look at China’s growth

Before the onset of COVID-19, China’s official GDP was gradually slowing but remained remarkably high. The financial press has questioned the accuracy of China’s official economic reports in the past. To analyze their accuracy, we developed the China CAT as an alternative way to measure China’s economic fluctuations using non-GDP data (see Fernald, Gerstein, and Spiegel 2019).

The China CAT is an index created by taking the first principal components of eight non-GDP indicators of China’s economic activity, all measured as detrended year-over-year growth. We chose the data we use in the index based on how accurately the combination fit externally reported China trade data over the period 2000 to 2019. We focused on trade data because they move closely with economic activity while being independent of any potential statistical error or manipulation by Chinese authorities.

The indicators in the China CAT comprise a consumer expectations index, electricity, exports, fixed asset investment, floor space, industrial production, rail freight, and retail sales. The green line in Figure 1 shows our main index. For completeness, we also track an “all indicators” index (gold line) using the first principal components of a broader set of 14 indicators (see Fernald, Hsu, and Spiegel 2020). For comparison, we also show China’s official GDP data (dark blue line), as well as the data on Chinese imports based on trading partner data (light blue line), which is immune from manipulation or errors by Chinese authorities.

Figure 1
China CAT and other economic indicators

Standard deviations for China CAT, imports, official GDP, and all indicators from 2000-2020

Year-over-year growth since 2000 is measured as standard deviations from the trend since 2000. China’s official GDP growth showed considerable volatility until around 2012. From that point through 2019, GDP data appeared excessively smooth relative to other indicators. China’s imports, which includes measures from external trading partners, continued to show year-over-year fluctuations.

The San Francisco Fed’s China Cyclical Activity Tracker, China CAT, and a second index developed with more indicators both follow imports closely and provide a way to assess the accuracy of China’s official numbers.

China’s economic activity in 2020

For the second quarter of 2020, we have made several minor changes in our method for calculating China CAT, which we detail in the downloadable file (Excel, 170 kb) on the data page. Most importantly, we now update the weights on the indicators in real time, rather than keeping them fixed as of 2016. Figure 2 focuses more closely on data updates to official data and our China CAT index since 2017.

Figure 2
China’s economy before and during COVID-19

Standard deviations for China CAT, imports, official GDP, and all indicators from 2017-2020

Because the China CAT is detrended, we measure its values as the number of standard deviations of year-over-year growth from trend. Hence, by construction, the series has an average of zero and a standard deviation of one.

When we convert reported GDP into similar units, first-quarter GDP growth plunged 6.4 standard deviations below its detrended year-earlier level. In the second quarter, GDP growth recovered to be only 1.1 standard deviations below trend. That value corresponds to the reported 3.2% second-quarter GDP growth.

Detrended values from the China CAT are qualitatively similar to the official reports—indeed, our results are a bit less negative than official data in both the first and second quarters. The China CAT index shows a first-quarter decline of 4.0 standard deviations below trend, with a rebound to only 1.0 standard deviation below trend in the second quarter.

The largest negative drivers of the China CAT index for the second quarter are the consumer expectations index and retail sales, which stood 2.9 and 1.9 standard deviations below trend, respectively. Two of the eight China CAT indicators, electricity and exports, turned slightly positive by 1.0 standard deviation in the second quarter, meaning growth was above trend.

We note that the broader “all indicators” index fell a little more than the China CAT in the first quarter, by 5.1 standard deviations. The all-indicators index also rebounded somewhat less, recovering to a year-over-year decline of 1.7 standard deviations. We view these numbers as being roughly consistent qualitatively with both the China CAT and reported GDP.

Data reliability during COVID-19

Our updated China CAT index does not suggest any sizeable systematic bias in officially reported Chinese output numbers. Moreover, while Fernald, Hsu, and Spiegel (2020) found that official data appeared to be “excessively smooth” relative to the China CAT over recent years, this is not the case so far in 2020. China’s GDP data for the first two quarters of 2020 show even greater movement than those we calculated with the China CAT. Overall, our results confirm the accuracy of the economic recovery from the COVID-19 pandemic reported in Chinese GDP figures.

Remy Beauregard is a research associate in the Economic Research Department of the Federal Reserve Bank of San Francisco.

John G. Fernald is a senior research advisor in the Economic Research Department of the Federal Reserve Bank of San Francisco.

Mark M. Spiegel is a senior policy advisor in the Economic Research Department of the Federal Reserve Bank of San Francisco.

Image credit: 4X-image via iStock.


Fernald, John, Neil Gerstein, and Mark Spiegel. 2019. “How Severe Is China’s Slowdown? Evidence from China CAT.” FRBSF Economic Letter 2019-26 (October 7).

Fernald, John G., Eric Hsu, and Mark M. Spiegel. 2020. “Is China Fudging Its GDP Figures? Evidence from Trading Partner Data.” Forthcoming in Journal of International Money and Finance.

The views expressed here do not necessarily reflect the views of the management of the Federal Reserve Bank of San Francisco or of the Board of Governors of the Federal Reserve System.