Not logged in.

Contribution Details

Type Working Paper
Scope Discipline-based scholarship
Title Improved Nonparametric Confidence Intervals in Time Series Regressions
Organization Unit
Authors
  • Joseph P Romano
  • Michael Wolf
Language
  • English
Institution University of Zurich
Series Name Working paper series / Institute for Empirical Research in Economics
Number No. 273
ISSN 1424-0459
Date 2006
Abstract Text Confidence intervals in econometric time series regressions suffer from notorious coveragenproblems. This is especially true when the dependence in the data is noticeable andnsample sizes are small to moderate, as is often the case in empirical studies. This papernsuggests using the studentized block bootstrap and discusses practical issues, such as thenchoice of the block size. A particular data-dependent method is proposed to automate the nmethod. As a side note, it is pointed out that symmetric confidence intervals are preferred over equal-tailed ones, since they exhibit improved coverage accuracy. The improvements in small sample performance are supported by a simulation study.
Official URL http://www.econ.uzh.ch/wp.html
PDF File Download from ZORA
Export BibTeX
EP3 XML (ZORA)