Teaching Hypothesis Testing: What is Doubted, What is Tested?

Menzies, GD

Teaching Hypothesis Testing: What is Doubted, What is Tested?

Menzies, GD

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Publisher:: University of Queensland
Publication Type:: Journal Article
Citation:: Australasian Journal of Economics Education, 2008, 5 (1 and 2), pp. 1 - 9
Issue Date:: 2008-01

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Field	Value	Language
dc.contributor.author	Menzies, GD https://orcid.org/0000-0003-4133-2282	en_US
dc.date.issued	2008-01	en_US
dc.identifier.citation	Australasian Journal of Economics Education, 2008, 5 (1 and 2), pp. 1 - 9	en_US
dc.identifier.issn	1448-448X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/9873
dc.description.abstract	Null hypotheses in undergraduate econometrics courses are usually framed in terms of parameter values or distributions. But relatively simple techniques can also test for violations of good scientific practice. This is neatly illustrated for students by a reinterpretation of an influential paper by Sir Ronald Fisher, where a rejection region is formed on the left tail of a 2 distribution. This idea is extended to situations where dubious models fit 'too well'. In these cases, a high R2 may be taken as evidence that a non-random subset of regressions is being 'adversely selected' for publication.	en_US
dc.publisher	University of Queensland	en_US
dc.relation.ispartof	Australasian Journal of Economics Education	en_US
dc.title	Teaching Hypothesis Testing: What is Doubted, What is Tested?	en_US
dc.type	Journal Article
utslib.citation.volume	1 and 2	en_US
utslib.citation.volume	5	en_US
utslib.for	1302 Curriculum and Pedagogy	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Economics Discipline
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.issue	1 and 2	en_US
pubs.volume	5	en_US

Abstract:

Null hypotheses in undergraduate econometrics courses are usually framed in terms of parameter values or distributions. But relatively simple techniques can also test for violations of good scientific practice. This is neatly illustrated for students by a reinterpretation of an influential paper by Sir Ronald Fisher, where a rejection region is formed on the left tail of a 2 distribution. This idea is extended to situations where dubious models fit 'too well'. In these cases, a high R2 may be taken as evidence that a non-random subset of regressions is being 'adversely selected' for publication.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/9873