Daniel J. Henderson Livres

The majority of empirical research in economics ignores the potential benefits of nonparametric methods, while the majority of advances in nonparametric theory ignores the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical nonparametric econometricians. It discusses in depth, and in terms that someone with only one year of graduate econometrics can understand, basic to advanced nonparametric methods. The analysis starts with density estimation and motivates the procedures through methods that should be familiar to the reader. It then moves on to kernel regression, estimation with discrete data, and advanced methods such as estimation with panel data and instrumental variables models. The book pays close attention to the issues that arise with programming, computing speed, and application. In each chapter, the methods discussed are applied to actual data, paying attention to presentation of results and potential pitfalls.

Praying Christians are hungry to learn how to connect with God in a way that takes them beyond the typical grocery-list approach. Transforming Prayer explores the profound difference between seeking God's hand (what he does for people) and seeking God's face (who he really is). With captivating stories of the transformative power of personal worship and its connection with prayer, this book equips readers with practical tools for a more effective personal and corporate prayer life.

The book presents a comprehensive framework for conducting model-free difference-in-differences analysis with covariates, focusing on nonparametric estimation and testing. It details the process of selecting confounders and defining outcome scales, followed by estimating heterogeneous treatment effects and average effects for treated subjects. The authors discuss the behavior of estimators and tests, including bootstrap methods for standard errors and p-values, with automatic bandwidth selection. The framework's application is illustrated through a study on the Deferred Action for Childhood Arrivals program's impact on educational outcomes for non-citizen immigrants in the US.