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We study how the transmission of monetary policy innovations is affected by the endogenous response of the central bank to macroeconomic aggregates in a two-agent New Keynesian model. We focus on how the stance of monetary policy and the fraction of savers in the economy affect transmission.

We develop a heterogeneous firm macro model with private information and quantify the aggregate relevance of asymmetric information. We find that a spike in private information account for 40% of the decline in aggregate investment during the 2007-2009 financial crisis and made monetary stimulus significantly less effective.

Central bankers argue that programmable digital currencies may compromise the uniformity of money. We develop a stylized model to examine this argument and the trade-offs involved in circulating programmable money.

We outline possible system architectures for an online retail central bank digital currency (CBDC) and identify one well-suited for basic payments. We analyze OpenCBDC 2PC, a representative system, finding such designs to be feasible, although some areas require further investigation. Our framing highlights other promising architectures for a retail CBDC.

We assess both the US and Canadian nominal neutral rates to be in the range of 2.25% to 3.25%, unchanged from the range assessed in 2024.

We explore two scenarios for potential output growth to gain insights into the economic consequences associated with different possible trade policies. Scenario 1 includes limited US tariffs on Canadian exports. Scenario 2 adds a permanent, broad-based 25% increase in US tariffs on imports from all countries excluding Canada and Mexico.

This paper analyzes the optimal quantity of central bank reserves in an economy where reserves and other financial assets provide liquidity benefits. Using a static model, I derive a constrained Friedman rule that characterizes the socially optimal level of reserves, demonstrating that this quantity is neither necessarily large nor small but depends on the marginal benefits of reserves relative to alternative safe assets.

Under the consumer-merchant bipartite network, we apply the indirect sampling approach to estimate merchant payment acceptance through a consumer payment diary.

We consider ways central banks could adapt in the event of an increased risk of a dash for cash from asset managers. We explore ideas such as new facilities that ease asset managers’ ability to convert existing assets to cash or new assets with liquidity that central banks would guarantee.

We consider ways central banks could adapt in the event of an increased risk of a dash for cash from asset managers. We explore ideas such as new facilities that ease asset managers’ ability to convert existing assets to cash or new assets with liquidity that central banks would guarantee.