书目名称 | Semiparametric Methods in Econometrics |
编辑 | Joel L. Horowitz |
视频video | http://file.papertrans.cn/866/865008/865008.mp4 |
丛书名称 | Lecture Notes in Statistics |
图书封面 |  |
描述 | Many econometric models contain unknown functions as well as finite- dimensional parameters. Examples of such unknown functions are the distribution function of an unobserved random variable or a transformation of an observed variable. Econometric methods for estimating population parameters in the presence of unknown functions are called "semiparametric." During the past 15 years, much research has been carried out on semiparametric econometric models that are relevant to empirical economics. This book synthesizes the results that have been achieved for five important classes of models. The book is aimed at graduate students in econometrics and statistics as well as professionals who are not experts in semiparametic methods. The usefulness of the methods will be illustrated with applications that use real data. |
出版日期 | Book 1998 |
关键词 | Estimator; Finite; Random variable; Variable; econometrics; function; semiparametric methods; statistics |
版次 | 1 |
doi | https://doi.org/10.1007/978-1-4612-0621-7 |
isbn_softcover | 978-0-387-98477-3 |
isbn_ebook | 978-1-4612-0621-7Series ISSN 0930-0325 Series E-ISSN 2197-7186 |
issn_series | 0930-0325 |
copyright | Springer Science+Business Media New York 1998 |