Using python to resolve the economic problems

Simple item page
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.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.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.urihttps://rses.ince.md/handle/123456789/1368
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

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Using_python_to_resolve_the_economic_problems.pdf
Size:
1.37 MB
Format:
Adobe Portable Document Format
Description:
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Articole