Abstract
We develop a DSGE model with cash deposits and digital currencies to study the economic stability of two potential central banking policies in China, a Loan Prime Rate (LPR) policy function and central bank digital currency (CBDC) implementation. We Bayesian-estimate both a benchmark model and a “Post-CBDC world”. In the post-CBDC world, although the introduction of CBDC appears to deepen the procyclicality of macroeconomic variables to real shocks, a potential LPR-setting policy appears to have some degree of policy complementarity with CBDC to mitigate this. We also uncover an optimal policy combination of the LPR rule and Taylor-style CBDC rule.
| Original language | English |
|---|---|
| Article number | 101108 |
| Journal | Emerging Markets Review |
| Volume | 59 |
| DOIs | |
| Publication status | Published - Mar 2024 |
Keywords
- Bayesian DSGE models
- China
- Digital currency
- Loan prime rate
- Monetary policy
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