
doi: 10.1111/rssa.12248
handle: 10278/3700984
SummaryThe existing literature that estimates the incidence of arrears relies on either household survey data or administrative data derived from the lender's records of their borrowers. But estimates based on these different sources will give different estimates of arrears. Moreover, the estimates are not useful for policy analysis or for a bank's lending decision, since they ignore the fact that some households do not borrow. The paper discusses the selection issues that are involved in using either source of data and is the first paper to bound the estimate of the household's underlying propensity to repay. To demonstrate the methodology, it uses data from the European Union Survey of Income and Living Conditions survey for 2008 to estimate the factors that affect repayment among Eurozone households.
Arrears, Manski bounds, 330, Consumer credit, Arrears; Consumer credit; Manski bounds;, consumer credit, arrears, Applications of statistics
Arrears, Manski bounds, 330, Consumer credit, Arrears; Consumer credit; Manski bounds;, consumer credit, arrears, Applications of statistics
| 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). | 2 | |
| 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. | Average | |
| 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. | Average |
