C2 - Single Equation Models; Single Variables - Bank of Canada
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Bank of Canada RSS Feedsen2024-03-28T15:19:12+00:00How Oil Supply Shocks Affect the Global Economy: Evidence from Local Projections
https://www.bankofcanada.ca/2019/07/staff-discussion-paper-2019-6/
We provide empirical evidence on the impact of oil supply shocks on global aggregates. To do this, we first extract structural oil supply shocks from a standard oil-price determination model found in the literature.2019-07-24T09:16:02+00:00enHow Oil Supply Shocks Affect the Global Economy: Evidence from Local Projections2019-07-24Business fluctuations and cyclesInternational topicsStaff Discussion Paper 2019-6https://www.bankofcanada.ca/wp-content/uploads/2019/07/sdp2019-6.pdfHow Oil Supply Shocks Affect the Global Economy: Evidence from Local ProjectionsOlivier GervaisJuly 2019CC2C22C5EE3E37QQ4Q43Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects
https://www.bankofcanada.ca/2019/05/staff-working-paper-2019-16/
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.2019-05-02T14:10:05+00:00enComposite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects2019-05-02Credit risk managementEconometric and statistical methodsEconomic modelsStaff Working Paper 2019-16https://www.bankofcanada.ca/wp-content/uploads/2019/05/swp2019-16.pdfComposite Likelihood Estimation of an Autoregressive Panel Probit Model with Random EffectsKerem TuzcuogluMay 2019CC2C23C25C5C58GG2G24Disentangling the Factors Driving Housing Resales
https://www.bankofcanada.ca/2019/04/staff-analytical-note-2019-12/
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.2019-04-17T11:16:02+00:00enDisentangling the Factors Driving Housing Resales2019-04-17