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
Global Commodity Markets and Rebalancing in China: The Case of Copper Staff Discussion Paper 2019-3 Jeannine Bailliu, Doga Bilgin, Kun Mo, Kurt Niquidet, Benjamin Sawatzky Given that China accounts for about half of global copper consumption, it is reasonable to expect that any significant change in Chinese copper consumption will have an impact on the global market. Content Type(s): Staff research, Staff discussion papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): O, O1, O13, O14, Q, Q0, Q02
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
Fundamental Drivers of Existing Home Sales in Canada Staff Discussion Paper 2018-16 Taylor Webley Existing home sales’ share of Canada’s economic pie has been rising in recent years, and variation around this trend has resulted in outsized contributions to changes in real gross domestic product (GDP). In this context, we use a cointegration framework to estimate the level of resale activity across the Canadian provinces that is supported by fundamentals—namely, full-time employment, housing affordability and migration flows—to help look through the volatility. Content Type(s): Staff research, Staff discussion papers Topic(s): Econometric and statistical methods, Economic models, Housing JEL Code(s): C, C2, C22, C23, E, E2, E27, R, R2, R21
GDP by Industry in Real Time: Are Revisions Well Behaved? Staff Analytical Note 2018-40 Patrick Rizzetto The monthly data for real gross domestic product (GDP) by industry are used extensively in real time both to ground the Bank of Canada’s monitoring of economic activity and in the Bank’s nowcasting tools, making these data one of the most important high-frequency time series for Canadian nowcasting. Content Type(s): Staff research, Staff analytical notes Topic(s): Business fluctuations and cycles, Central bank research, Econometric and statistical methods JEL Code(s): C, C5, C53, C8, C82, E, E0, E01
The Propagation of Regional Shocks in Housing Markets: Evidence from Oil Price Shocks in Canada Staff Working Paper 2018-56 Lutz Kilian, Xiaoqing Zhou How do global oil price shocks spread through Canada’s economy? With Canada’s regionally diverse economy in mind, we explore the implications of oil price shocks for Canadian housing markets and regional economies. We show that the belief that oil price shocks only matter in oil-rich regions is false. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Housing, International topics, Labour markets, Regional economic developments JEL Code(s): F, F4, F43, Q, Q3, Q33, Q4, Q43, R, R1, R12, R3, R31
Evaluating the Bank of Canada Staff Economic Projections Using a New Database of Real-Time Data and Forecasts Staff Working Paper 2018-52 Julien Champagne, Guillaume Poulin-Bellisle, Rodrigo Sekkel We present a novel database of real-time data and forecasts from the Bank of Canada’s staff economic projections. We then provide a forecast evaluation for GDP growth and CPI inflation since 1982: we compare the staff forecasts with those from commonly used time-series models estimated with real-time data and with forecasts from other professional forecasters and provide standard bias tests. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Economic models, Inflation targets, Monetary policy JEL Code(s): C, C3, C32, E, E1, E17, E3, E37