Universita di Modena e Reggio Emilia, Dipartimento di
Economia Politica / Heterogeneity and monetary policy
Raw citation data, Impact Factor, Immediacy Index, Published documents, Citations received, , Most cited papers , Latest citations and documents published in this series in EconPapers.
  Most cited documents in this series: (1) RePEc:mod:modena:0004 Banks inefficiency and economic growth: a micro-macro approach (2000). Universita di Modena e Reggio Emilia, Dipartimento di
Economia Politica / Heterogeneity and monetary policy Cited: 3 times. (2) RePEc:mod:modena:0503 A less effective monetary transmission in the wake of EMU?
Evidence from lending rates pass-through (2005). Universita di Modena e Reggio Emilia, Dipartimento di
Economia Politica / Heterogeneity and monetary policy Cited: 2 times. (3) RePEc:mod:modena:0103 Is trade credit more expensive than bank loans? Evidence from
Italian firm-level data. (2001). Universita di Modena e Reggio Emilia, Dipartimento di
Economia Politica / Heterogeneity and monetary policy Cited: 2 times. (4) RePEc:mod:modena:0504 Forward-looking estimation of default probabilities with Italian data (2005). Universita di Modena e Reggio Emilia, Dipartimento di
Economia Politica / Heterogeneity and monetary policy Cited: 2 times. (5) RePEc:mod:modena:0702 The Effect of Population Ageing on Household Portfolio Choices in Italy (2007). Universita di Modena e Reggio Emilia, Dipartimento di
Economia Politica / Heterogeneity and monetary policy Cited: 1 times. (6) RePEc:mod:modena:0303 When do trade credit discounts matter? Evidence from Italian
firm-level data (2003). Universita di Modena e Reggio Emilia, Dipartimento di
Economia Politica / Heterogeneity and monetary policy Cited: 1 times. Latest citations received in: | 2003 | 2002 | 2001 | 2000 Latest citations received in: 2003 Latest citations received in: 2002 Latest citations received in: 2001 Latest citations received in: 2000 Warning!! This is still an experimental service. The results of this service should be interpreted with care, especially in research assessment exercises. The processing of documents is automatic. There still are errors and omissions in the identification of references. We are working to improve the software to increase the accuracy of the results. Source data used to compute the impact factor of RePEc series.
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