Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/118416
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dc.contributor.authorHirschauer, Norbert-
dc.contributor.authorGrüner, Sven-
dc.contributor.authorMußhoff, Oliver-
dc.contributor.authorBecker, Claudia-
dc.date.accessioned2025-03-04T07:27:48Z-
dc.date.available2025-03-04T07:27:48Z-
dc.date.issued2020-
dc.identifier.urihttps://opendata.uni-halle.de//handle/1981185920/120375-
dc.identifier.urihttp://dx.doi.org/10.25673/118416-
dc.description.abstractReplication crisis and debates about p- values have raised doubts about what we can statistically infer from research findings, both in experimental and observational studies. With a view to the ongoing debate on inferential errors, this paper systematizes and discusses experimental designs with regard to the inferences that can and – perhaps more important – that cannot be made from particular designs.eng
dc.language.isoeng-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subject.ddc330-
dc.titleInference in economic experimentseng
dc.typeArticle-
local.versionTypepublishedVersion-
local.bibliographicCitation.journaltitleEconomics. Journal articles-
local.bibliographicCitation.volume14-
local.bibliographicCitation.issue1-
local.bibliographicCitation.pagestart1-
local.bibliographicCitation.pageend14-
local.bibliographicCitation.publishernameDeGruyter-
local.bibliographicCitation.publisherplaceBerlin-
local.bibliographicCitation.doi10.5018/economics-ejournal.ja.2020-7-
local.subject.keywordsEconomic experiments, ceteris paribus, confounders, control, inference, internal/external validity, randomization, random sampling, superpopulation-
local.openaccesstrue-
dc.identifier.ppn1760792691-
cbs.publication.displayform2020-
local.bibliographicCitation.year2020-
cbs.sru.importDate2025-03-04T07:27:20Z-
local.bibliographicCitationEnthalten in Economics. Journal articles - Berlin : DeGruyter, 2007-
local.accessrights.dnbfree-
Appears in Collections:Open Access Publikationen der MLU

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