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418 Results

Endogenous Time Variation in Vector Autoregressions

Staff working paper 2020-16 Danilo Leiva-Leon, Luis Uzeda
We introduce a new class of time-varying parameter vector autoregressions (TVP-VARs) where the identified structural innovations are allowed to influence — contemporaneously and with a lag — the dynamics of the intercept and autoregressive coefficients in these models.

Markups, Pass-Through, and Firm Heterogeneity with Sequentially Mixed Search

Staff working paper 2025-7 Alex Chernoff, Allen Head, Beverly Lapham
Market power and pass-through of cost and demand shocks are studied in a market with free entry of heterogeneous firms and consumer mixed search. Equilibrium prices and markups are driven by variation in the elasticity of demand across firms. Improved conditions for buyers can either raise or lower market power.

Bank Runs, Bank Competition and Opacity

Staff working paper 2021-30 Toni Ahnert, David Martinez-Miera
How is the stability of the financial sector affected by competition in the deposit market and by decisions banks make about transparency? We find that policies that aim to increase bank competition lead to higher bank deposit rates, increasing both withdrawal incentives and instability.

Demographic Origins of the Decline in Labor’s Share

Staff working paper 2023-20 Andrew Glover, Jacob Short
Declining labour market dynamism of workers results in an increasing wedge between their earnings and their marginal product as they age. This wedge and the demographic shift in the earnings shares of older workers can account for 59% of the decline in labor’s share of earnings in the United States.

Seeing the Economy through Colored Glasses: Partisanship in Macro and (not in) Micro Expectations

Staff working paper 2026-24 Adrian Monninger, Kyung Woong Koh, Tao Wang
Households report distinctive views of the macroeconomy along partisan lines, while their expectations about personal finances do not follow the same pattern. Economic inequality remains the major contributor to polarized views of the macroeconomy. Partisan politics are simply a magnifier.

Bank Runs, Portfolio Choice, and Liquidity Provision

Staff working paper 2019-37 Toni Ahnert, Mahmoud Elamin
After the financial crisis of 2007–09, many jurisdictions introduced new banking regulations to make banks more resilient and less likely to fail. These regulations included tighter limits for the quality and quantity of bank capital and introduced minimum standards for liquidity. But what was the impact of these changes?

Unintended Consequences of the Home Affordable Refinance Program

Staff working paper 2024-11 Phoebe Tian, Chen Zheng
We investigate the unintended consequences of the Home Affordable Refinance Program (HARP). Originally designed to help borrowers refinance after the 2008–09 global financial crisis, HARP inadvertently strengthened the market power of incumbent lenders by creating a cost advantage for them. Despite a 2013 policy rectifying this cost advantage, we still find significant welfare losses for borrowers.

What Fed Funds Futures Tell Us About Monetary Policy Uncertainty

Staff working paper 2016-61 Jean-Sébastien Fontaine
The uncertainty around future changes to the Federal Reserve target rate varies over time. In our results, the main driver of uncertainty is a “path” factor signaling information about future policy actions, which is filtered from federal funds futures data.

A Behavioral New Keynesian Model of a Small Open Economy Under Limited Foresight

Staff working paper 2023-44 Seunghoon Na, Yinxi Xie
This paper studies exchange rate dynamics by incorporating bounded rationality, that is, limited foresight, in a small open-economy model. This behavior of limited foresight helps explain several observations and puzzles in the data of exchange rate movements.

CANVAS: A Canadian Behavioral Agent-Based Model

The Bank of Canada’s current suite of models faces challenges in addressing network effects that integrate household and firm-level heterogeneity and their behaviours. We develop CANVAS, a Canadian behavioural agent-based model to contribute to the Bank’s next-generation modelling effort. CANVAS improves forecasting performance and expands capacity for model-based scenario analysis.
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