PINSHI, Christian P. (2020): COVID-19 uncertainty and monetary policy.
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Abstract
The uncertainty of COVID-19 seriously disrupts the Congolese economy through various macroeconomic channels. This pandemic is influencing the management of monetary policy in its role as regulator of aggregate demand and guarantor of macroeconomic stability. We use a Bayesian VAR framework (BVAR) to provide an analysis of the COVID uncertainty shock on the economy and the monetary policy response. The analysis shows important conclusions. The uncertainty effect of COVID-19 hits unprecedented aggregate demand and the economy. In addition, it undermines the action of monetary policy to soften this fall in aggregate demand and curb inflation impacted by the exchange rate effect. We suggest a development of unconventional devices for a gradual recovery of the economy.
Item Type: | MPRA Paper |
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Original Title: | COVID-19 uncertainty and monetary policy |
Language: | English |
Keywords: | Uncertainty, COVID-19, Monetary policy, Bayesian VAR |
Subjects: | C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C32 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes ; State Space Models E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations ; Cycles E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E51 - Money Supply ; Credit ; Money Multipliers E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E52 - Monetary Policy E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E58 - Central Banks and Their Policies |
Item ID: | 100184 |
Depositing User: | Researcher Christian Pinshi |
Date Deposited: | 09 May 2020 13:04 |
Last Modified: | 09 May 2020 13:04 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/100184 |