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2121 Results

Trading on Long-term Information

Staff working paper 2020-20 Corey Garriott, Ryan Riordan
Investors who trade based on good research are said to be the backbone of stock markets: They conduct research to discover the value of stocks and, through their trading, guide financial prices to reflect true value. What can make their job difficult is that high-speed, short-term traders could use machine learning and other technologies to infer when informed investors are trading.

The aggregate and heterogeneous effects of responding to shelter inflation

Staff analytical paper 2026-5 Michael Irwin, Matías Vieyra
This note examines how monetary policy responses to shelter inflation affect both the overall economy and different households. We find that the aggregate macroeconomic effects of responding to shelter inflation are modest, whereas the redistributive consequences across households are substantially larger.
October 22, 2006

ToTEM: The Bank of Canada's New Projection and Policy-Analysis Model

The Terms-of-Trade Economic Model, or ToTEM, replaced the Quarterly Projection Model (QPM) in December 2005 as the Bank's principal projection and policy-analysis model for the Canadian economy. Benefiting from advances in economic modelling and computer power, ToTEM builds on the strengths of QPM, allowing for optimizing behaviour on the part of firms and households, both in and out of steady state, in a multi-product environment. The authors explain the motivation behind the development of ToTEM, provide an overview of the model and its calibration, and present several simulations to illustrate its key properties, concluding with some indications of how the model is expected to evolve going forward.

Equilibrium in Two-Sided Markets for Payments: Consumer Awareness and the Welfare Cost of the Interchange Fee

Staff working paper 2022-15 Kim Huynh, Gradon Nicholls, Oleksandr Shcherbakov
We construct and estimate a structural two-stage model of equilibrium in a market for payments in order to quantify the network externalities and identify the main determinants of consumer and merchant decisions.

Competing Currencies in the Laboratory

Staff working paper 2017-53 Janet Hua Jiang, Cathy Zhang
We investigate competition between two intrinsically worthless currencies as a result of decentralized interactions between human subjects. We design a laboratory experiment based on a simple two-country, two-currency search model to study factors that affect circulation patterns and equilibrium selection.

The Evolution of Unobserved Skill Returns in the U.S.: A New Approach Using Panel Data

Staff working paper 2017-61 Lance Lochner, Youngmin Park, Youngki Shin
Economists disagree about the factors driving the substantial increase in residual wage inequality in the United States over the past few decades. To identify changes in the returns to unobserved skills, we make a novel assumption about the dynamics of skills (especially among older workers) rather than about the stability of skill distributions across cohorts, as is standard.
February 10, 2021

Payments innovation beyond the pandemic

Remarks (delivered virtually) Timothy Lane Institute for Data Valorisation Montréal, Quebec
Deputy Governor Timothy Lane talks about how the Bank of Canada is contributing to the modernization of our payments ecosystem, and how the COVID-19 pandemic has highlighted the need to make payments more convenient for all Canadians.

Examining the Impact of Home Purchase Restrictions on China’s Housing Market

Staff working paper 2021-18 Zhentong Lu, Sisi Zhang, Jian Hong
How do “cooling measures” in the housing market—policies aimed to stabilize prices—affect the market? We use a structural model of housing demand and price competition among developers to evaluate China’s home purchase restriction policies implemented in 2010–11.

Expropriation Risk and FDI in Developing Countries: Does Return of Capital Dominate Return on Capital?

Staff working paper 2017-9 M. Akhtaruzzaman, Nathan Berg, Christopher Hajzler
Previously reported effects of institutional quality and political risks on foreign direct investment (FDI) are mixed and, therefore, difficult to interpret. We present empirical evidence suggesting a relatively clear, statistically robust, and intuitive characterization.
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