Header

UZH-Logo

Maintenance Infos

Formalized Data Snooping Based on Generalized Error Rates


Romano, Joseph P; Shaikh, Azeem M; Wolf, Michael (2005). Formalized Data Snooping Based on Generalized Error Rates. Working paper series / Institute for Empirical Research in Economics No. 259, University of Zurich.

Abstract

It is common in econometric applications that several hypothesis tests are carried out at the same time. The problem then becomes how to decide whichnhypotheses to reject, accounting for the multitude of tests.nThe classical approach is to control the familywise error rate (FWE), that is, thenprobability of one or more false rejections. But when thennumber of hypotheses under consideration is large, control of the FWE can become too demanding. As a result, the number of false hypotheses rejected may be small or even zero. This suggests replacingncontrol of the FWE by a more liberal measure. To this end,nwe review a number of proposals from the statistical literature.nWe briefly discuss how these procedures apply to the general problem of model selection. A simulation study and two empirical applications illustrate the methods.

Abstract

It is common in econometric applications that several hypothesis tests are carried out at the same time. The problem then becomes how to decide whichnhypotheses to reject, accounting for the multitude of tests.nThe classical approach is to control the familywise error rate (FWE), that is, thenprobability of one or more false rejections. But when thennumber of hypotheses under consideration is large, control of the FWE can become too demanding. As a result, the number of false hypotheses rejected may be small or even zero. This suggests replacingncontrol of the FWE by a more liberal measure. To this end,nwe review a number of proposals from the statistical literature.nWe briefly discuss how these procedures apply to the general problem of model selection. A simulation study and two empirical applications illustrate the methods.

Statistics

Citations

141 citations in Microsoft Academic

Downloads

429 downloads since deposited on 29 Nov 2011
6 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Working Paper
Communities & Collections:03 Faculty of Economics > Department of Economics
Working Paper Series > Institute for Empirical Research in Economics (former)
Dewey Decimal Classification:330 Economics
Language:English
Date:December 2005
Deposited On:29 Nov 2011 22:31
Last Modified:20 Sep 2018 03:26
Series Name:Working paper series / Institute for Empirical Research in Economics
ISSN:1424-0459
OA Status:Green
Official URL:http://www.econ.uzh.ch/wp.html

Download

Download PDF  'Formalized Data Snooping Based on Generalized Error Rates'.
Preview
Filetype: PDF
Size: 428kB