2017
DOI: 10.1016/j.econlet.2016.11.039
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The Amiti–Weinstein estimator: An equivalence result

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Cited by 7 publications
(7 citation statements)
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“…8 All in all, entities at this level of consolidation are rarely specialized in lending towards a specific industry. 9 Alternatively, we aggregate firms at their NACE-2 sector level, running the credit 6 Their method adopts weighted least squares and normalizes the coefficients to the median bank and the median firm component (see also Tielens and Van Hove, 2017). AW prove that by using linear growth rates (instead of, e.g.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…8 All in all, entities at this level of consolidation are rarely specialized in lending towards a specific industry. 9 Alternatively, we aggregate firms at their NACE-2 sector level, running the credit 6 Their method adopts weighted least squares and normalizes the coefficients to the median bank and the median firm component (see also Tielens and Van Hove, 2017). AW prove that by using linear growth rates (instead of, e.g.…”
Section: Methodsmentioning
confidence: 99%
“…12 For the details of the AW estimation procedure via weighted least squares, we remind to Amiti andWeinstein (2018), especially Appendix B, C, andD, andto Tielens andVan Hove (2017).…”
Section: Methodsmentioning
confidence: 99%
“…In practical terms, Tielens and Van Hove (2017) show that Amiti and Weinstein (2018)'s estimator is equivalent to the estimation of the regression model in Equation (3) through a weighted least square procedure, with lagged weights capturing the importance of each loan in aggregate credit.…”
Section: Identification Strategiesmentioning
confidence: 99%
“… Degryse et al (2019) also apply the methodology of Amiti and Weinstein (2018) through a weighted‐least‐square procedure suggested by Tielens and Van Hove (2017), except that they replace firm‐time fixed effects with ILTS fixed effects allowing them to also account for single‐bank relationships. …”
mentioning
confidence: 99%
“…The relevance of one lending component for the other is captured using weights: in the universe of bank‐firm relationships, how relevant is any firm in the lending portfolio of a bank, and how important is any bank in the borrowing portfolio of a firm? Tielens and Van Hove () formally show that the application of these adding‐up constraints in an empirical setup with multiple‐bank firms is equivalent to using a weighted least squares procedure, with the relevance of each firm for a given bank as the weight.…”
mentioning
confidence: 99%