Applied Nonparametric Econometrics
Daniel J. Henderson is the J. Weldon and Delores Cole Faculty Fellow at the University of Alabama, as well as a research fellow at the Institute for the Study of Labor (IZA) in Bonn, Germany, and at the Wang Yanan Institute for Studies in Economics, Xiamen University, in Xiamen, China. He was formerly an associate and Assistant Professor of Economics at the State University of New York at Binghamton. He has held visiting appointments at the Institute of Statistics, Université catholique de Louvain, in Louvain-la-Neuve, Belgium, and in the Department of Economics at Southern Methodist University in Dallas, Texas. He received his PhD in economics from the University of California, Riverside. His work has been published in journals such as the Economic Journal, the European Economic Review, the International Economic Review, the Journal of Applied Econometrics, the Journal of Econometrics, the Journal of Human Resources, the Journal of the Royal Statistical Society, and the Review of Economics and Statistics.
Recently, I received a copy of a new econometrics book, Applied Nonparametric Econometrics, by Daniel Henderson and Christopher Parmeter.The title is pretty self-explanatory and, as you'd expect with any book published by CUP, this is a high-quality item.The book's Introduction begins as follows:'The goal of this book is to help bridge the gap between applied economists and theoretical. Hardle, Muller, Sperlich and Werwatz (2004) Nonparametric and Semiparametric Models Yatchew (2003) Semiparametric Regression for the Applied Econometrician Koenker (2005) Quantile Regression Bosq (1998) Nonparametric Statistics for Stochastic Processes The books by Silverman and Hardle are classics. Pagan-Ullah is the first econometrics book on. Nonparametric estimators that are important for applied research, describes an easily implemented nonparametric instrumental variables estimator, and presents empirical examples in which nonparametric methods lead to substantive conclusions that are quite different from those obtained using standard, parametric estimators.
Christopher F. Parmeter is an Associate Professor at the University of Miami. He was formerly an Assistant Professor in the Department of Agricultural and Applied Economics at Virginia Polytechnic Institute and State University. He was also a visiting scholar in Dipartimento di Studi su Politica Diritto e Societa at the University of Palermo. He received his PhD in economics from the State University of New York, Binghamton. Korg wavestation for sale. His research focuses on applied econometrics across a broad array of fields in economics, including economic growth, microfinance, international trade, environmental economics, and health economics. His work has been published in journals such as the Economic Journal, the European Economic Review, Health Economics, the Journal of Applied Econometrics, the Journal of Econometrics, the Journal of Environmental Economics and Management, and Statistica Sinica. Flash slideshow maker for website.
Applied Nonparametric Econometrics Examples
- Nonparametric Econometrics fills a major gap by gathering together the most up-to-date theory and techniques and presenting them in a remarkably straightforward and accessible format.
- Applied Nonparametric Econometrics. The majority of empirical research in economics ignores the potential benefits of nonparametric methods and many theoretical nonparametric advances ignore the problems faced by practitioners. We do not believe that applied economists dismiss these methods because they do not like them.
- Jan 19, 2015 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.