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doi: 10.2139/ssrn.3564880
handle: 10419/216571 , 20.500.11769/435316
We study loans from banking and non-banking lenders to different groups of borrowers in order to unveil significant differences on how those respond to a shock and evaluate possible alternative explanations for such differences. The objective is to gain insights useful to explain the loan puzzle: the unexpected increase of loans to firms in case of a monetary tightening. The analysis is based on a vector autoregression, estimated using Bayesian techniques, and has as object the US economy.
ddc:330, corporate businesses, households, Bayesian estimation, loan puzzle, non-corporate businesses, E44, G20, G21, VAR, loan puzzle, households, corporate businesses, non-corporate businesses, VAR, Bayesian estimation, E51, C11
ddc:330, corporate businesses, households, Bayesian estimation, loan puzzle, non-corporate businesses, E44, G20, G21, VAR, loan puzzle, households, corporate businesses, non-corporate businesses, VAR, Bayesian estimation, E51, C11
citations 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 | |
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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 | |
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