Measuring resilience to financial instability: A new dataset
Related Experiment Video
Updated: Mar 11, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Domenico Lombardi1, Pierre Siklos1
1Centre for International Governance Innovation and Wilfrid Laurier University, Canada.
Abstract:
In recognition of the severe consequences of the recent international financial crisis, the topic of macroprudential policy has elicited considerable research effort. The data set reports, for 46 economies around the globe, an index of the capacity to deploy macroprudential policies. The index aims to represent the essence of what constitutes a macroprudential regime is developed and used in http://dx.doi.org/10.1016/j.jfs.2016.08.007 (D. Lombardi, P.L. Siklos, 2016) [1]. Specifically, the index quantifies: (1) how existing macroprudential frameworks are organized; and (2) how far a particular jurisdiction is from reaching the goals established by the Group of Twenty (G20) and the Financial Stability Board (FSB). The latter is a benchmark that has not been considered in the burgeoning literature that seeks to quantify the role of macroprudential policies.
Related Concept Videos
Survival Tree
Building a Survival Tree
Constructing a...
Regression Toward the Mean
Residuals and Least-Squares Property
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
Outliers and Influential Points
Bootstrapping
Midrange
Simply put, the midrange is half of the data set’s range. Similar to the mean, the midrange is sensitive to the extreme values and hence the prospective outliers. However, unlike the mean, the midrange is not sensitive to all the values of the data set that lie in the middle. Thus, it is prone to...
