Weighted least squares and adaptive least squares: further empirical evidence

التفاصيل البيبلوغرافية
العنوان: Weighted least squares and adaptive least squares: further empirical evidence
المؤلفون: Sterchi, Martin, Wolf, Michael
المساهمون: Kreinovič, Vladik, Sriboonchitta, Songsak, Huynh, Van-Nam, Kreinovič, V ( Vladik ), Sriboonchitta, S ( Songsak ), Huynh, V ( Van-Nam )
المصدر: Sterchi, Martin; Wolf, Michael (2017). Weighted least squares and adaptive least squares: further empirical evidence. In: Kreinovič, Vladik; Sriboonchitta, Songsak; Huynh, Van-Nam. Robustness in Econometrics. Cham: Springer, 135-167.
بيانات النشر: Springer
سنة النشر: 2017
المجموعة: University of Zurich (UZH): ZORA (Zurich Open Repository and Archive
مصطلحات موضوعية: Department of Economics, 330 Economics, Computational Intelligence, artificial Intelligence (incl. robotics), econometrics
الوصف: This paper compares ordinary least squares (OLS), weighted least squares (WLS), and adaptive least squares (ALS) by means of a Monte Carlo study and an application to two empirical data sets. Overall, ALS emerges as the winner: It achieves most or even all of the efficiency gains of WLS over OLS when WLS outperforms OLS, but it only has very limited downside risk compared to OLS when OLS outperforms WLS.
نوع الوثيقة: book part
وصف الملف: application/pdf
اللغة: English
ردمك: 978-3-319-50741-5
3-319-50741-9
تدمد: 1860-949X
العلاقة: https://www.zora.uzh.ch/id/eprint/136112/1/als05.pdfTest; urn:isbn:978-3-319-50741-5; urn:issn:1860-949X
DOI: 10.5167/uzh-136112
DOI: 10.1007/978-3-319-50742-2_9
الإتاحة: https://doi.org/10.5167/uzh-13611210.1007/978-3-319-50742-2_9Test
https://www.zora.uzh.ch/id/eprint/136112Test/
https://www.zora.uzh.ch/id/eprint/136112/1/als05.pdfTest
حقوق: info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.6EC5AB42
قاعدة البيانات: BASE
الوصف
ردمك:9783319507415
3319507419
تدمد:1860949X
DOI:10.5167/uzh-136112