We analyze money financing of fiscal transfers (helicopter money) in two simple New Keynesian models: a “textbook” model in which all money is non-interest-bearing (e.g., all money is currency), and a more realistic model with interest-bearing reserves.
Models for macroeconomic forecasts do not usually take into account the risk of a crisis—that is, a sudden large decline in gross domestic product (GDP). However, policy-makers worry about such GDP tail risk because of its large social and economic costs.
This research develops a model in which the economy is directly influenced by how pessimistic or optimistic economic agents are about the future. The agents may hold different views and update them as new economic data become available.
I show that maturity considerations affect the optimal conduct of monetary and fiscal policy during a period of government debt reduction. I consider a New Keynesian model and study a dynamic game of monetary and fiscal policy authorities without commitment, characterizing the incentives that drive the choice of interest rate.
We illustrate how market data can be informative about the interactions between monetary and fiscal policy. Federal funds futures are private contracts that reflect investor’s expectations about monetary policy decisions.
The Bank of Canada has a mandate to “promote the economic and financial welfare of Canada,” primarily through the conduct of monetary policy and promotion of a safe, sound and efficient financial system. Understanding the macroeconomic and financial system impacts of climate change and the transition to a low-carbon economy is therefore a priority for the Bank.
This paper looks at the implications for monetary policy of the widespread adoption of artificial intelligence and machine learning, which is sometimes called the “fourth industrial revolution.”
Using highly disaggregated transaction-level trade data, we document the importance of new firm-level trade partner relationships and the addition of new products to existing relationships in driving aggregate trade flows.
I use a structural vector autoregression (SVAR) with sign restrictions to provide conditional evidence on the behavior of the US external finance premium (EFP). The results indicate that the excess bond premium, a proxy for the EFP, reacts countercyclically to supply and monetary policy shocks and procyclically to demand shocks.