This paper presents a counter-factual model identifying Average Treatment Effects (ATEs) by Conditional Mean Independence when externality (or neighbourhood) effects are incorporated within the traditional potential outcome model. As such, it tries to generalize the usual approach, widely used...

This paper presents an original econometric model for estimating a dose-response function through a regression approach when: (i) treatment is continuous, (ii) individuals may react heterogeneously to observable confounders, and (iii) selection-into-treatment may be potentially endogenous. After...

Regression discontinuity (RD) models are commonly used to nonparametrically identify and estimate a local average treatment effect. Dong and Lewbel (2015) show how a derivative of this effect, called treatment effect derivative (TED) can be estimated. We argue here that TED should be employed in...

We analyze the impact of efficiency on bank risk. We also consider whether bank capital has an effect on this relationship. We model the inter-temporal relationships among efficiency, capital and risk for a large sample of commercial banks operating in the European Union. We find that reductions...

The 2008 global financial crisis highlights the importance of securitization and crash risk. Yet there is a dearth of papers exploring the link between securitization and crash risk. We analyze 7,096 securitization deals made by large European listed banks between 2000 and 2017. Our paper...

We analyze the impact of efficiency on bank risk. We also consider whether bank capital has an effect on this relationship. We model the inter-temporal relationships among efficiency, capital and risk for a large sample of commercial banks operating in the European Union. We find that reductions...