Inflation targeting as a signaling mechanism
This paper theoretically investigates inflation targeting when there is asymmetric information between the Central Bank and the public. The main argument of this study is that the inflation target can be used as a signaling mechanism through which the private sector learns about the private information of the Central Bank about future inflation and output. Thus, inflation targeting increases transparency and this causes the monetary policy actions (changes in the interest rate) to be more effective. I construct a Kalman filter algorithm to analyze the information and learning dynamics between the Central Bank and a representative private-sector agent. An increase (decrease) in the interest rate and the inflation target signals that the Central Bank has private information that inflation and output will be higher (lower) in the future thus the public expect inflation to be higher (lower) in the future. The main results of the paper are as follows. First, the private-sector agents (public) revise their expectations about future inflation and output after observing the actions of the Central Bank: changes in the interest rate and the inflation target. Second, in the case of inflation targeting, the response of inflation to a monetary policy shock (change in the interest rate) is higher than it is in the case of no inflation targeting. So, when there is inflation targeting the interest rate tool of the CB is more effective in decreasing inflation.
inflation target asymmetric information learning monetary policy kalman filter