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21 Results

Flagship Entry in Online Marketplaces

Staff Working Paper 2023-41 Ginger Zhe Jin, Zhentong Lu, Xiaolu Zhou, Lu Fang
In this paper, we empirically study how flagship entry in an online marketplace affects consumers, the platform, and various sellers on the platform. We find flagship entry may benefit consumers by expanding the choice set, by intensifying price competition within the entry brand, and by improving consumer perception for parts of the platform.
Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Market structure and pricing JEL Code(s): D, D4, L, L1, L8

Behavioral Learning Equilibria in New Keynesian Models

Staff Working Paper 2022-42 Cars Hommes, Kostas Mavromatis, Tolga Özden, Mei Zhu
We introduce behavioral learning equilibria (BLE) into DSGE models with boundedly rational agents using simple but optimal first order autoregressive forecasting rules. The Smets-Wouters DSGE model with BLE is estimated and fits well with inflation survey expectations. As a policy application, we show that learning requires a lower degree of interest rate smoothing.

Learning, Equilibrium Trend, Cycle, and Spread in Bond Yields

Staff Working Paper 2020-14 Guihai Zhao
This equilibrium model explains the trend in long-term yields and business-cycle movements in short-term yields and yield spreads. The less-frequent inverted yield curves (and less-frequent recessions) after the 1990s are due to recent secular stagnation and procyclical inflation expectations.
Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, Financial markets, Interest rates JEL Code(s): E, E4, E43, G, G0, G00, G1, G12

ToTEM III: The Bank of Canada’s Main DSGE Model for Projection and Policy Analysis

ToTEM III is the most recent generation of the Bank of Canada’s main dynamic stochastic general equilibrium model for projection and policy analysis. The model helps Bank staff tell clear and coherent stories about the Canadian economy’s current state and future evolution.

Allocative Efficiency and the Productivity Slowdown

Staff Working Paper 2021-1 Lin Shao, Rongsheng Tang
In our analysis of the US productivity slowdown in the 1970s and 2000s, we find that a significant portion of this deceleration can be attributed to a lack of improvement in allocative efficiency across sectors. Our analysis further identifies increased sector-level volatility as a major contributor to this lack of improvement in allocative efficiency.
Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Productivity JEL Code(s): E, E2, E23, O, O4, O47

Identifying the Degree of Collusion Under Proportional Reduction

Staff Working Paper 2017-51 Oleksandr Shcherbakov, Naoki Wakamori
Proportional reduction is a common cartel practice in which cartel members reduce their output proportionately. We develop a method to quantify this reduction relative to a benchmark market equilibrium scenario and relate the reduction to the traditional conduct parameter.

Are Long-Horizon Expectations (De-)Stabilizing? Theory and Experiments

Staff Working Paper 2019-27 George Evans, Cars Hommes, Isabelle Salle, Bruce McGough
Most models in finance assume that agents make trading plans over the infinite future. We consider instead that they are boundedly rational and may only form forecasts over a limited horizon.

The (Mis)Allocation of Corporate News

Staff Working Paper 2024-47 Xing Guo, Alistair Macaulay, Wenting Song
We study how the distribution of information supply by the news media affects the macroeconomy. We find that media coverage focuses particularly on the largest firms, and that firms’ equity financing and investment increase after media coverage. But these equity and investment responses are largest among small, rarely covered firms. Our quantitative studies highlight that the aggregate effects of media coverage depend crucially on how that coverage is allocated.
Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets, Firm dynamics JEL Code(s): D, D2, D22, D6, D61, L, L1, L11, L2, L20

Understanding the Systemic Implications of Climate Transition Risk: Applying a Framework Using Canadian Financial System Data

Our study aims to gain insight on financial stability and climate transition risk. We develop a methodological framework that captures the direct effects of a stressful climate transition shock as well as the indirect—or systemic—implications of these direct effects. We apply this framework using data from the Canadian financial system.
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