Shengliang Ou
Biographic Data
| ID | 5738743 |
|---|---|
| NAME | Shengliang Ou |
| GIVEN NAMES | Shengliang |
| FAMILY NAME | Ou |
| SIGNATURE | OU S |
| AFFILIATIONS | Shanghai Jiao Tong University |
| ORCID | 0000-0001-9190-108X |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Quantifying the Federal Reserve's objectives using a structural vector autoregressive model
The objective of the Federal Reserve (the Fed), namely, its dovish stance, is often blamed for the so‐called Great Inflation. A popular proxy for the Fed's dovish stance is constructed using the inflation coefficients in estimated Taylor rules. However, for a welfare‐optimizing central bank, the estimated Taylor coefficients are not sufficient for inferring its underlying preference. We quantify the Fed's objective—the targeting rule—relying on a…
No prominent works on this page.
Quantifying the Federal Reserve's objectives using a structural vector autoregressive model
The objective of the Federal Reserve (the Fed), namely, its dovish stance, is often blamed for the so‐called Great Inflation. A popular proxy for the Fed's dovish stance is constructed using the inflation coefficients in estimated Taylor rules. However, for a welfare‐optimizing central bank, the estimated Taylor coefficients are not sufficient for inferring its underlying preference. We quantify the Fed's objective—the targeting rule—relying on a…
Autoregressive model (1 work) · Econometrics (1 work) · Economic, financial, and policy analysis (1 work) · Economics (1 work) · Market Dynamics and Volatility (1 work) · Monetary Policy and Economic Impact (1 work)