Downward Nominal Wage Rigidity in Canada: Evidence from Micro- Level Data Staff Working Paper 2016-40 Dany Brouillette, Olena Kostyshyna, Natalia Kyui We assess the importance of downward nominal wage rigidity (DNWR) in Canada using both firm- and worker-level microdata. In particular, we analyze employer-level administrative data from the Major Wage Settlements (MWS) and household-based survey data from the Survey of Labour Income Dynamics (SLID). Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Labour markets JEL Code(s): E, E2, E24, J, J3, J30
Credit Risk and Collateral Demand in a Retail Payment System Staff Discussion Paper 2016-16 Héctor Pérez Saiz, Gabriel Xerri The recent financial crisis has led to the development of new regulations to control risk in designated payment systems, and the implementation of new credit risk management standards is one of the key issues. In this paper, we study various credit risk management schemes for the Canadian retail payment system (ACSS) that are designed to cover the exposure of a defaulting member. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Econometric and statistical methods, Financial stability, Payment clearing and settlement systems JEL Code(s): C, C5, C58, G, G2, G21, G23
Time-Varying Crash Risk: The Role of Stock Market Liquidity Staff Working Paper 2016-35 Peter Christoffersen, Bruno Feunou, Yoontae Jeon, Chayawat Ornthanalai We estimate a continuous-time model with stochastic volatility and dynamic crash probability for the S&P 500 index and find that market illiquidity dominates other factors in explaining the stock market crash risk. While the crash probability is time-varying, its dynamic depends only weakly on return variance once we include market illiquidity as an economic variable in the model. Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, Econometric and statistical methods, Financial stability JEL Code(s): G, G0, G01, G1, G12
Crude Oil Prices and Fixed-Asset Cash Spending in the Oil and Gas Industry: Findings from VAR Models Staff Analytical Note 2016-8 Farrukh Suvankulov This note investigates the relationship between crude oil prices and investment in the energy sector. We employ a set of vector autoregression (VAR) models (unconstrained VAR, vector error-correction and Bayesian VAR) to formalize the relationship between the West Texas Intermediate (WTI) benchmark and fixed-asset cash spending in the oil and gas extraction and support activities sector of the Canadian economy. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Domestic demand and components, Econometric and statistical methods JEL Code(s): E, E2, E22, E27, Q, Q4, Q43, Q47
Financial Inclusion—What’s it Worth? Staff Working Paper 2016-30 Miguel Ampudia, Michael Ehrmann The paper studies the determinants of being unbanked in the euro area and the United States as well as the effects of being unbanked on wealth accumulation. Based on household-level data from The Eurosystem Household Finance and Consumption Survey and the U.S. Survey of Consumer Finances, it first documents that there are, respectively, 3.6 per cent and 7.5 per cent of unbanked households in the two economies. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial services, Financial system regulation and policies, Housing JEL Code(s): D, D1, D14, G, G2, G21, G28
The Real-Time Properties of the Bank of Canada’s Staff Output Gap Estimates Staff Working Paper 2016-28 Julien Champagne, Guillaume Poulin-Bellisle, Rodrigo Sekkel We study the revision properties of the Bank of Canada’s staff output gap estimates since the mid-1980s. Our results suggest that the average staff output gap revision has decreased significantly over the past 15 years, in line with recent evidence for the U.S. Content Type(s): Staff research, Staff working papers Research Topic(s): Central bank research, Econometric and statistical methods, Potential output JEL Code(s): C, C3, C38, E, E1, E17, E3, E32
What Are the Macroeconomic Effects of High-Frequency Uncertainty Shocks Staff Working Paper 2016-25 Laurent Ferrara, Pierre Guérin This paper evaluates the effects of high-frequency uncertainty shocks on a set of low-frequency macroeconomic variables that are representative of the U.S. economy. Rather than estimating models at the same common low-frequency, we use recently developed econometric models, which allows us to deal with data of different sampling frequencies. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C3, C32, E, E3, E32, E4, E44
Identification and Estimation of Risk Aversion in First-Price Auctions with Unobserved Auction Heterogeneity Staff Working Paper 2016-23 Serafin Grundl, Yu Zhu This paper shows point identification in first-price auction models with risk aversion and unobserved auction heterogeneity by exploiting multiple bids from each auction and variation in the number of bidders. The required exclusion restriction is shown to be consistent with a large class of entry models. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C14, C5, C57, D, D4, D44, L, L0, L00
Estimating Systematic Risk Under Extremely Adverse Market Conditions Staff Working Paper 2016-22 Maarten van Oordt, Chen Zhou This paper considers the problem of estimating a linear model between two heavy-tailed variables if the explanatory variable has an extremely low (or high) value. We propose an estimator for the model coefficient by exploiting the tail dependence between the two variables and prove its asymptotic properties. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial markets JEL Code(s): C, C1, C14, G, G0, G01
Early Warning of Financial Stress Events: A Credit-Regime-Switching Approach Staff Working Paper 2016-21 Fuchun Li, Hongyu Xiao We propose an early warning model for predicting the likelihood of a financial stress event for a given future time, and examine whether credit plays an important role in the model as a non-linear propagator of shocks. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial stability JEL Code(s): C, C1, C12, C14, G, G0, G01, G1, G17