What Prompts the People's Bank of China to Change its Monetary Policy Stance? Evidence from a Discrete Choice Model

In this paper, we model the policy stance of the People¡¦s Bank of China (PBoC) as a latent variable, and the discrete changes in the reserve requirement ratio, policy interest rates, and the scale of open market operations are taken as signals of movement of this latent variable. We run a discrete choice regression that relates these observed indicators of policy stance to major trends of macroeconomic and financial developments, which are represented by common factors extracted from a large number of variables. The predicted value of the estimated model can then be interpreted as the implicit policy stance of the PBoC. In a second step, we estimate how much of the variation in the PBoC's implicit stance can be explained by measures of its policy objectives on inflation, growth and financial stability. We find that deviations of CPI inflation from an implicit target and deviations of broad money growth from the announced targets figured significantly in PBoC's policy changes, but not output gaps.