Sample calibration is a procedure that utilizes sample and national-level demographic distribution information to weight survey participants. The objective of calibration[...]

We present a new estimation of business opening and closure rates using data from Google Places—the data set behind the Google Maps service. Our algorithm, through a bise[...]

We introduce a new real-time method to measure business opening and closure rates by relying on Google Places, the data behind the Google Maps platform. We collect data o[...]

We offer a multi-period systemic risk assessment framework with which to assess recent liquidity and capital regulatory requirement proposals in a holistic way. Following[...]

The lack of consolidated Canadian micro data on household balance sheets and expenditures has been an important impediment to empirical research into real-financial linka[...]

In the aftermath of the financial crisis, there is interest in reforming bank regulation such that capital requirements are more closely linked to a bank's contribution t[...]

A number of central banks publish their own business conditions survey based on non-random sampling methods. The results of these surveys influence monetary policy decisi[...]

While a number of central banks publish their own business conditions indicators that rely on non-random sampling, knowledge about their statistical accuracy has been lim[...]

The data and programs replicate tables and figures from "Explaining Bitcoin ownership in Canada: Trends from 2016 to 2021", by Balutel, Engert, Henry, Huynh, and Voia. Pl[...]

One way of internalizing the externalities that each individual bank imposes on the rest of the financial system is to impose capital surcharges on them in line with thei[...]