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Please use this identifier to cite or link to this item: http://dspace.ince.md/jspui/handle/123456789/1367
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dc.contributor.authorColesnicov, Alexandru
dc.contributor.authorMalahov, Ludmila
dc.contributor.authorColesnicova, Tatiana
dc.contributor.authorVerlan, Serghey
dc.date.accessioned2021-11-08T15:20:42Z
dc.date.available2021-11-08T15:20:42Z
dc.date.issued2019
dc.identifier.citationCOLESNICOV, Alexandru, MALAHOV, Ludmila, COLESNICOVA, Tatiana, VERLAN, Serghey. Using python to resolve the economic problems. In : Experience. Knowledge. Contemporary Challenges „ Innovative economic-social Approaches in the Knowledge Society”: international symposium, 5th edition, december 12th-13th, 2019. Artifex University of Bucharest. Bucharest, 2019, pp. 440-449. ISBN 978-606- 8716-50- 3.en_EN
dc.identifier.urihttp://dspace.ince.md/jspui/handle/123456789/1368
dc.descriptionText: lb. engl. Abstract: lb. engl. Referinţe bibliografice: pp. 448-449 (12 titl.). JEL Classification: C02, C80, C88, C89.en_EN
dc.description.abstractThe work discusses the essential aspects of implementation of online economic applications using Python. The exemplified application performs econometric calculations over the data on an enterprise to analyze situation on labour market. Calculations include data grouping and statistics, extended Mincer earnings function, Duncan index of dissimilarity, the Oaxaca-Blinder decomposition.en_EN
dc.language.isoenen_EN
dc.publisherArtifexen_EN
dc.subjectonline economic applicationsen_EN
dc.subjectPythonen_EN
dc.subjecteconometric calculationsen_EN
dc.subjectlabour marketen_EN
dc.titleUsing python to resolve the economic problemsen_EN
dc.typeArticleen_EN
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Articole

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