The book provides a simple, intuitive introduction to regression models for qualitative and discrete dependent variables, to sample selection models, and to event history models, all in the context of maximum likelihood estimation. It presents a wide range of commonly used models. The book...

Traditional econometric analysis concentrate on classical methods which are far from suitable handling actual economic problems. Modern econometric analysis tries to develop approaches from an economic perspective. This book presents survey articles of the most important methods in econometrics....

Preface -- 1 An Introduction to the Econometrics of Program Evaluation -- 2 Methods Based on Selection on Observables -- 3 Methods Based on Selection on Unobservables -- 4 Local Average Treatment Effect and Regression-Discontinuity-Design.

The evaluation of labour market and other public policies has become increasingly important in recent years. In an era of tight government budgets, a thorough analysis of these measures is imperative. This book provides a comprehensive overview and assessment of the most relevant...

Modellierung der Abhängigkeiten zwischen Ausfall, Verlustrate und Forderungshöhe bei Ausfall mit Faktoren und Copulae -- Multivariate Erweiterung des Heckman-Schätzers, um der Stichprobenselektion seitens der Verlustrate und der Forderungshöhe gerecht zu werden -- Empirische Befunde zur...

This thesis presents a new strategy that unites qualitative and quantitative mass data in form of text news and tick-by-tick asset prices to forecast the risk of upcoming volatility shocks. Holger Kömm embeds the proposed strategy in a monitoring system, using first, a sequence of competing...

Softcover version of the second edition Hardcover.Incorporates a new author, Dr. Chris O'Donnell, who brings considerable expertise to the project in the area of performance measurement. Numerous topics are being added and more applications using real data, as well as exercises at the end of the...

Statistical Methods to Develop Rating Models -- Estimation of a Rating Model for Corporate Exposures -- The Shadow Rating Approach - Experience from Banking Practice -- Estimating Probabilities of Default for Low Default Portfolios -- Transition Matrices: Properties and Estimation Methods -- A...

The Libor Market Model (LMM) is a mathematical model for pricing and risk management of interest rate derivatives and has been built on the framework of modelling forward rates. For the conceptual understanding of the model a strong background in the fields of mathematics, statistics, finance...

This book presents methodologies for the Bayesian estimation of GARCH models and their application to financial risk management. The study of these models from a Bayesian viewpoint is relatively recent and can be considered very promising due to the advantages of the Bayesian approach, in...