
Since the 2000s, economists across fields have increasingly used consumer credit reporting data for research. We introduce readers to the economics of and the institutional details of these data. Using examples from the literature, we provide practical guidance on how to use these data to construct economic measures of borrowing, consumption, credit access, financial distress, and geographic mobility. We explain what credit scores measure, and why. We highlight how researchers can access credit reporting data via existing datasets or by creating new datasets, including by linking credit reporting data with surveys and external datasets.
consumer credit reporting data, ddc:330, credit scores, D82, household finance, asymmetric information, H31, credit bureaus, measurement, G50, D10, E21
consumer credit reporting data, ddc:330, credit scores, D82, household finance, asymmetric information, H31, credit bureaus, measurement, G50, D10, E21
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
