Data for: Measuring the Covariance Risk of Consumer Debt Portfolios
Journal of Economic Dynamics and Control, ISSN: 0165-1889
2021
- 185Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage185
- Views162
- Downloads23
Dataset Description
his article provides data on the simulation results of consumer debt default for banks' consumer loans in Chile, using the model described in Madeira (2017). Furthermore, I provide a summary description of all the codes used for the simulation exercises and how to implement them from publicly available microdata sources. The data is of particular interest for those interested in analyzing the sensitivity of consumer loan default to heterogeneous labor market shocks and aggregate interest rates. All the codes and datasets are in Stata format.
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