Academic Journal

Improved nonparametric confidence intervals in time series regressions

التفاصيل البيبلوغرافية
العنوان: Improved nonparametric confidence intervals in time series regressions
المؤلفون: Romano, Joseph P, Wolf, Michael
المصدر: Romano, Joseph P; Wolf, Michael (2006). Improved nonparametric confidence intervals in time series regressions. Journal of Nonparametric Statistics, 18(2):199-214.
بيانات النشر: Taylor & Francis
سنة النشر: 2006
المجموعة: University of Zurich (UZH): ZORA (Zurich Open Repository and Archive
مصطلحات موضوعية: Department of Economics, 330 Economics, Bootstrap, Confidence intervals, Studentization, Time series regressions, Prewithening
الوصف: Confidence intervals in econometric time series regressions suffer from notorious coverage problems. This is especially true when the dependence in the data is noticeable and sample sizes are small to moderate, as is often the case in empirical studies. This article suggests using the studentized block bootstrap and discusses practical issues such as the choice of the block size. A particular data-dependent method is proposed to automate the method. As a side note, it is pointed out that symmetric confidence intervals are preferred over equal-tailed ones, as they exhibit improved coverage accuracy. The improvements in small sample performance are supported by a simulation study.
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 1026-7654
Relation: https://www.zora.uzh.ch/2237; urn:issn:1026-7654
DOI: 10.1080/10485250600687812
الاتاحة: https://www.zora.uzh.ch/id/eprint/2237/
https://www.zora.uzh.ch/2237
https://doi.org/10.1080/10485250600687812
Rights: info:eu-repo/semantics/closedAccess
رقم الانضمام: edsbas.9E4F191F
قاعدة البيانات: BASE
الوصف
تدمد:10267654
DOI:10.1080/10485250600687812