The panel-data regression models are frequently applied to micro-level data, which often suffer from data contamination, erroneous observations, or unobserved heterogeneity. Despite the adverse effects of outliers on classical estimation methods, there are only a few robust estimation methods...

This paper extends an existing outlier-robust estimator of linear dynamic panel data models with fixed effects, which is based on the median ratio of two consecutive pairs of first-differenced data. To improve its precision and robust properties, a general procedure based on many pairwise...

The panel-data regression models are frequently applied to micro-level data, which often suffer from data contamination, erroneous observations, or unobserved heterogeneity. Despite the adverse effects of outliers on classical estimation methods, there are only a few robust estimation methods...

This guidebook describes why quantitative counterfactual impact evaluations (CIE) of research, development and innovation (RDI) State aid policy schemes should be carried out, and how such CIE studies can be implemented. It discusses the motivation for governmental intervention in the market for...

This book extends the theory of real options. Where previous contributions mainly consider the timing of investment, this book also determines the optimal capacity size. We develop and analyze several theoretical investment models of the firm. The first three studies consider firms that act in a...