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dc.contributor.authorJirakom Sirisrisakulchaien_US
dc.contributor.authorChon Van Leen_US
dc.contributor.authorUyen Phamen_US
dc.description.abstract© 2020 World Scientific Publishing Company. In this paper, we emphasize and elaborate on two important and relatively new aspects in uncertainty analysis in order to increase the credibility of empirical results in statistics in general, and in econometrics in particular, namely, the problem of partial identification, and the use of random set statistics. We elaborate on the current interests in partially identified models, exemplified by econometric structures involving copulas. We spell out the rationale and the statistical methods based upon random set theory for analyzing partial identification problem towards credible econometrics.en_US
dc.subjectComputer Scienceen_US
dc.titleOn statistics of random sets for partial identification of econometric structuresen_US
article.title.sourcetitleInternational Journal of Uncertainty, Fuzziness and Knowlege-Based Systemsen_US
article.volume28en_US of Economics Ho Chi Minh Cityen_US University,Vietnam National University Ho Chi Minh Cityen_US Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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