ElasticSearch Score: 10.742466
ElasticSearch Score: 10.689799
ElasticSearch Score: 10.610325
Carbon dioxide emissions have been commonly modelled as rising and falling with total output. Yet many factors, such as energy-efficiency improvements and shifts to cleaner energy, can break this relationship. We evaluate these factors using US data and find that changes in energy efficiency of consumption goods explain a significant proportion of emissions fluctuations. This finding also implies that models that omit energy efficiency likely overestimate the trade-off between environmental protection and economic performance.
ElasticSearch Score: 10.585986
ToTEM III is the most recent generation of the Bank of Canada’s main dynamic stochastic general equilibrium model for projection and policy analysis. The model helps Bank staff tell clear and coherent stories about the Canadian economy’s current state and future evolution.
ElasticSearch Score: 10.559945
Calculating the labour market indicator (LMI) at the provincial level provides useful insights into Canada’s regional economies and reveals differing trends in the state of underlying labour market conditions across provinces. Conclusions based on the Canadian LMI do not necessarily translate to the provinces. In most cases, the correlations between the provincial LMIs and the underlying labour market variables have the expected sign.
ElasticSearch Score: 10.119809
We outline possible system architectures for an online retail central bank digital currency (CBDC) and identify one well-suited for basic payments. We analyze OpenCBDC 2PC, a representative system, finding such designs to be feasible, although some areas require further investigation. Our framing highlights other promising architectures for a retail CBDC.
ElasticSearch Score: 9.907114
Financial frictions affect how much consumers spend on durable and non-durable goods. Borrowers can face both loan-to-value (LTV) constraints and payment-to-income (PTI) constraints.
ElasticSearch Score: 9.688908
We identify the drivers of unsecured and collateralized loan volumes, rates and haircuts in Canada using the Bayesian model averaging approach to deal with model uncertainty. Our results suggest that the key friction driving behaviour in this market is the collateral reallocation cost faced by borrowers.
ElasticSearch Score: 9.316652
December 13, 2021
Commentary and technical data relating to the 2021 renewal.
ElasticSearch Score: 9.251332
The uncertainty around future changes to the Federal Reserve target rate varies over time. In our results, the main driver of uncertainty is a “path” factor signaling information about future policy actions, which is filtered from federal funds futures data.