State space models play a key role in the estimation of time-varying sensitivities in financial markets. The objective of this book is to analyze the relative merits of modern time series techniques, such as Markov regime switching and the Kalman filter, to model structural changes in the...

Using a large firm level dataset, that covers 18 European countries in the 2006-2014 period, I develop an empirical approach in the spirit of Rajan and Zingales (1998) in order to study whether and to what extent the credit cycle influences the efficient allocation of resources across firms. I...