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1302 Results

A Spatial Model of Bank Branches in Canada

Staff Working Paper 2020-4 Heng Chen, Matthew Strathearn
Using data on bank branch locations across Canada from 2008 to 2018, we explore an interesting aspect of bank branch competition—geographic concentration. We find that bank branch density does not correlate with geographic and market concentration; however, we do find strong correlation with postal-code demographics.
Content Type(s): Staff research, Staff working papers Topic(s): Firm dynamics, Market structure and pricing JEL Code(s): L, L1, R, R3

Managing GDP Tail Risk

Staff Working Paper 2020-3 Thibaut Duprey, Alexander Ueberfeldt
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.

Social Learning and Monetary Policy at the Effective Lower Bound

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.

Contagion in Dealer Networks

Staff Working Paper 2020-1 Jean-Sébastien Fontaine, Adrian Walton
Dealers connect investors who want to buy or sell securities in financial markets. Over time, dealers and investors form trading networks to save time and resources. An emerging field of research investigates how networks form.

Monetary Policy and Government Debt Dynamics Without Commitment

Staff Working Paper 2019-52 Dmitry Matveev
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.
Content Type(s): Staff research, Staff working papers Topic(s): Fiscal policy, Monetary policy JEL Code(s): E, E5, E52, E6, E62, E63

Technology Adoption in Input-Output Networks

Staff Working Paper 2019-51 Xintong Han, Lei Xu
We study how input-output networks affect the speed of technology adoption. In particular, we model the decision to adopt the programming language Python 3 by software packages. Python 3 provides advanced features but is not backward compatible with Python 2, which implies it comes with adoption costs.
Content Type(s): Staff research, Staff working papers Topic(s): Economic models, Firm dynamics, Productivity JEL Code(s): C, C6, C61, L, L2, L23, L8, L86, O, O1, O14, O3, O33

Monetary Payoff and Utility Function in Adaptive Learning Models

Staff Working Paper 2019-50 Erhao Xie
When players repeatedly face an identical or similar game (e.g., coordination game, technology adoption game, or product choice game), they may learn through experience to perform better in the future. This learning behaviour has important economic implications.

On the Evolution of Multiple Jobholding in Canada

Staff Working Paper 2019-49 Olena Kostyshyna, Etienne Lalé
The number of workers who hold more than one job (a.k.a. multiple jobholders) has increased recently in Canada. While this seems to echo the view that non-standard work arrangements are becoming pervasive, the increase has in fact been trivial compared with the long-run rise of multiple jobholding that has occurred since the mid-1970s.

Model Uncertainty and Wealth Distribution

Staff Working Paper 2019-48 Edouard Djeutem, Shaofeng Xu
This paper studies the implications of model uncertainty for wealth distribution in a tractable general equilibrium model with a borrowing constraint and robustness à la Hansen and Sargent (2008). Households confront model uncertainty about the process driving the return of the risky asset, and they choose robust policies.

Loan Insurance, Market Liquidity, and Lending Standards

Staff Working Paper 2019-47 Toni Ahnert, Martin Kuncl
We examine loan insurance—credit risk transfer upon origination—in a model in which lenders can screen, learn loan quality over time, and can sell loans. Some lenders with low screening ability insure, benefiting from higher market liquidity of insured loans while forgoing the option to exploit future information about loan quality.
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