Experimetrics: Econometrics for Experimental Economics
Peter Moffatt
2020年10月 · Bloomsbury Publishing
电子书
496
页
report评分和评价未经验证 了解详情
关于此电子书
This advanced textbook is an essential guide to discovering new and more illuminating ways to analyse the econometric modelling of experimental data. Peter Moffatt, one of the world's experts in the field, covers a range of techniques: from the familiar, such as treatment testing, to lesser known ones such as finite mixture models and the method of maximum simulated likelihood. The book takes a hands-on approach by explaining STATA commands in detail. In addition, difficult problems inherent in the methodology are addressed, such as the parametric estimation of social preference models, quantal response models, and learning models.
An indispensable book for researchers and advanced students in experimental and behavioural economics who want to come to grips with the field of Experimetrics.
The companion website www.palgrave.com/moffatt contains:
- All data sets (in Stata format) used as examples in the book
- An executable Stata 'do-file' containing stata commands and programs used in examples
And
- An Excel file containing some Excel calculations presented in the text
An indispensable book for researchers and advanced students in experimental and behavioural economics who want to come to grips with the field of Experimetrics.
The companion website www.palgrave.com/moffatt contains:
- All data sets (in Stata format) used as examples in the book
- An executable Stata 'do-file' containing stata commands and programs used in examples
And
- An Excel file containing some Excel calculations presented in the text
作者简介
Peter G. Moffatt is Professor of Econometrics at the University of East Anglia, UK.
为此电子书评分
欢迎向我们提供反馈意见。
如何阅读
智能手机和平板电脑
笔记本电脑和台式机
您可以使用计算机的网络浏览器聆听您在 Google Play 购买的有声读物。
电子阅读器和其他设备
如果要在 Kobo 电子阅读器等电子墨水屏设备上阅读，您需要下载一个文件，并将其传输到相应设备上。若要将文件传输到受支持的电子阅读器上，请按帮助中心内的详细说明操作。
