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683 Results

Inequality in Parental Transfers and Optimal Need-Based Financial Aid

Staff Working Paper 2019-7 Youngmin Park
This paper studies optimal need-based financial aid when parental transfers—unobserved by policymakers—vary across and within families of similar means. Using data on U.S. college students, I document substantial inequality in parental transfers, especially among wealthier families. I then analyze how this affects aid design aimed at reducing inefficiencies from borrowing constraints and the aid itself.
Content Type(s): Staff research, Staff working papers Research Topic(s): Fiscal policy, Potential output, Productivity JEL Code(s): D, D1, D14, D6, D61, D64, D8, D82, I, I2, I22, J, J2, J24

Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19

Staff Working Paper 2021-2 James Chapman, Ajit Desai
We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model.

Inference in Games Without Nash Equilibrium: An Application to Restaurants’ Competition in Opening Hours

Staff Working Paper 2018-60 Erhao Xie
This paper relaxes the Bayesian Nash equilibrium (BNE) assumption commonly imposed in empirical discrete choice games with incomplete information. Instead of assuming that players have unbiased/correct expectations, my model treats a player’s belief about the behavior of other players as an unrestricted unknown function. I study the joint identification of belief and payoff functions.

Unanticipated Defaults and Losses in Canada's Large-Value Payments System, Revisited

Staff Discussion Paper 2007-5 Devin Ball, Walter Engert
Recent work at the Bank of Canada studied the impact of default in Canada’s large-value payments system, and concluded that participants could readily manage their potential losses (McVanel 2005). In an extension of that work, the authors use a much larger set of daily payments data – with three times as many observations – to […]

Measurement of the Output Gap: A Discussion of Recent Research at the Bank of Canada

Technical Report No. 79 Pierre St-Amant, Simon van Norden
In this paper, we discuss some methodologies for estimating potential output and the output gap that have recently been studied at the Bank of Canada. The assumptions and econometric techniques used by the different methodologies are discussed in turn, and applications to Canadian data are presented.
Content Type(s): Staff research, Technical reports Research Topic(s): Potential output JEL Code(s): D, D2, D24

A Comparison of Twelve Macroeconomic Models of the Canadian Economy

In this report, the authors examine and compare twelve private and public sector models of the Canadian economy with respect to their paradigm, structure, and dynamic properties. These open-economy models can be grouped into two economic paradigms.
Content Type(s): Staff research, Technical reports Research Topic(s): Economic models, Monetary policy and uncertainty JEL Code(s): C, C5, E, E5, E52, E58

The Bank of Canada's New Quarterly Projection Model, Part 3. The Dynamic Model: QPM

The Bank of Canada's new Quarterly Projection Model, QPM, combines the short-term dynamic properties necessary to support regular economic projections with the consistent behavioural structure necessary for policy analysis.
Content Type(s): Staff research, Technical reports Research Topic(s): Economic models JEL Code(s): C, C5, C53, E, E1, E17

Sample Calibration of the Online CFM Survey

Technical Report No. 118 Marie-Hélène Felt, David Laferrière
The Canadian Financial Monitor (CFM) survey uses non-probability sampling for data collection, so selection bias is likely. We outline methods for obtaining survey weights and discuss the conditions necessary for these weights to eliminate selection bias. We obtain calibration weights for the 2018 and 2019 online CFM samples.
Content Type(s): Staff research, Technical reports Research Topic(s): Econometric and statistical methods JEL Code(s): C, C8, C81, C83
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