C25 - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

• Can the characteristics of new mortgages predict borrowers’ financial stress? Insights from the 2014 oil price decline

  Staff Analytical Note 2021-22 Olga Bilyk, Ken Chow, Yang Xu

  We study the relationship between characteristics of new mortgages and borrowers’ financial stress in Canada’s energy-intensive regions following the 2014 collapse in oil prices. We find that borrowers with limited home equity were more likely to have difficulty repaying debt.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Credit and credit aggregates, Econometric and statistical methods, Financial stability, Housing JEL Code(s): C, C2, C25, D, D1, D14, G, G2, G21, G5, G51, R, R2, R21

• 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

• How Long Does It Take You to Pay? A Duration Study of Canadian Retail Transaction Payment Times

  Staff Working Paper 2018-46 Geneviève Vallée

  Using an exclusive data set of payment times for retail transactions made in Canada, I show that cash is the most time-efficient method of payment (MOP) when compared with payments by debit and credit cards. I model payment efficiency using Cox proportional hazard models, accounting for consumer choice of MOP.

  Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Econometric and statistical methods, Payment clearing and settlement systems JEL Code(s): C, C2, C25, C3, C36, C4, C41, D, D2, D23, E, E4, E41, E42

• Understanding Firms’ Inflation Expectations Using the Bank of Canada’s Business Outlook Survey

  Staff Working Paper 2016-7 Simon Richards, Matthieu Verstraete

  Inflation expectations are a key determinant of actual and future inflation and thus matter for the conduct of monetary policy. We study how firms form their inflation expectations using quarterly firm-level data from the Bank of Canada’s Business Outlook Survey, spanning the 2001 to 2015 period.

  Content Type(s): Staff research, Staff working papers Topic(s): Central bank research, Credibility, Econometric and statistical methods, Firm dynamics, Inflation and prices, Inflation targets, Monetary policy framework JEL Code(s): C, C1, C2, C25, D, D2, D21, D8, D84, E, E3, E31, E5, E52, E58

• Multiple Fixed Effects in Binary Response Panel Data Models

  Staff Working Paper 2014-17 Karyne B. Charbonneau

  This paper considers the adaptability of estimation methods for binary response panel data models to multiple fixed effects. It is motivated by the gravity equation used in international trade, where important papers such as Helpman, Melitz and Rubinstein (2008) use binary response models with fixed effects for both importing and exporting countries.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C2, C23, C25, F, F1, F14