C - Mathematical and Quantitative Methods

• Central Bank Communication That Works: Lessons from Lab Experiments

  Staff Working Paper 2019-21 Oleksiy Kryvtsov, Luba Petersen

  We use controlled laboratory experiments to test the causal effects of central bank communication on economic expectations and to distinguish the underlying mechanisms of those effects. In an experiment where subjects learn to forecast economic variables, we find that central bank communication has a stabilizing effect on individual and aggregate outcomes and that the size of the effect varies with the type of communication.

  Content Type(s): Staff research, Staff working papers Topic(s): Monetary policy implementation, Monetary policy transmission JEL Code(s): C, C9, D, D8, D84, E, E3, E5, E52

• Online Job Seekers in Canada: What Can We Learn from Bing Job Queries?

  Staff Analytical Note 2019-18 André Binette, Karyne B. Charbonneau, Nicholas Curtis, Gabriela Galassi, Scott Counts, Justin Cranshaw

  Labour markets in Canada and around the world are evolving rapidly with the digital economy. Traditional data are adapting gradually but are not yet able to provide timely information on this evolution.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Central bank research, Labour markets, Monetary policy JEL Code(s): C, C8, C80, E, E2, E24, J, J2, J21

• Assessing the Resilience of the Canadian Banking System

  Staff Analytical Note 2019-16 Charles Gaa, Xuezhi Liu, Cameron MacDonald, Xiangjin Shen

  The stability of the Canadian financial system, as well as its ability to support the Canadian economy, depends on the ability of financial institutions to absorb and manage major shocks. This is especially true for large banks, which perform services essential to the Canadian economy.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Financial institutions, Financial stability JEL Code(s): C, C6, C63, E, E2, E27, E3, E37, E4, E44, G, G0, G01, G2, G21

• Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects

  Staff Working Paper 2019-16 Kerem Tuzcuoglu

  Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an unobserved variable results in an intractable likelihood containing high-dimensional integrals.

  Content Type(s): Staff research, Staff working papers Topic(s): Credit risk management, Econometric and statistical methods, Economic models JEL Code(s): C, C2, C23, C25, C5, C58, G, G2, G24

• Disentangling the Factors Driving Housing Resales

  Staff Analytical Note 2019-12 Mikael Khan, Taylor Webley

  We use a recently developed model and loan-level microdata to decompose movements in housing resales since 2015. We find that fundamental factors, namely housing affordability and full-time employment, have had offsetting effects on resales over our study period.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Econometric and statistical methods, Financial stability, Financial system regulation and policies, Housing, Recent economic and financial developments JEL Code(s): C, C2, C22, E, E2, R, R2, R21

• Firm-level Investment Under Imperfect Capital Markets in Ukraine

  Staff Working Paper 2019-14 Oleksandr Shcherbakov

  This paper develops and estimates a model of firm-level fixed capital investment when firms face borrowing constraints.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Economic models, Firm dynamics JEL Code(s): C, C6, C61, C63, D, D2, D24, G, G3, G31

• The Trend Unemployment Rate in Canada: Searching for the Unobservable

  Staff Working Paper 2019-13 Dany Brouillette, Marie-Noëlle Robitaille, Laurence Savoie-Chabot, Pierre St-Amant, Bassirou Gueye, Elise Nelson

  In this paper, we assess several methods that have been used to measure the Canadian trend unemployment rate (TUR). We also consider improvements and extensions to some existing methods.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Economic models, Inflation and prices, Labour markets JEL Code(s): C, C5, C52, C53, E, E2, E24, E27

• Inflation Targeting and Liquidity Traps Under Endogenous Credibility

  Staff Working Paper 2019-9 Cars Hommes, Joep Lustenhouwer

  Policy implications are derived for an inflation-targeting central bank, whose credibility is endogenous and depends on its past ability to achieve its targets. This is done in a New Keynesian framework with heterogeneous and boundedly rational expectations.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Credibility, Monetary policy JEL Code(s): C, C6, C62, E, E3, E32, E5, E52

• 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.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Market structure and pricing JEL Code(s): C, C5, C57, L, L1, L13, L8, L85

• 2017 Methods-of-Payment Survey: Sample Calibration and Variance Estimation

  Technical Report No. 114 Heng Chen, Marie-Hélène Felt, Christopher Henry

  This technical report describes sampling, weighting and variance estimation for the Bank of Canada’s 2017 Methods-of-Payment Survey. Under quota sampling, a raking ratio method is implemented to generate weights with both post-stratification and nonparametric nonresponse weight adjustments.

  Content Type(s): Staff research, Technical reports Topic(s): Econometric and statistical methods JEL Code(s): C, C8, C81, C83