Endogenous productivity: a new Bayesian perspective.
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| Title: | Endogenous productivity: a new Bayesian perspective. |
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| Authors: | Polemis, Michael L.1,2,3, mpolemis@unipi.gr, Tsionas, Mike G.4,5 |
| Source: | Annals of Operations Research; Nov2022, Vol. 318 Issue 1, p425-451, 27p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 160074966 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=160074966 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10479-021-04514-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 425 Titles: – TitleFull: Endogenous productivity: a new Bayesian perspective. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Polemis, Michael L. – PersonEntity: Name: NameFull: Tsionas, Mike G. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 02545330 Numbering: – Type: volume Value: 318 – Type: issue Value: 1 Titles: – TitleFull: Annals of Operations Research Type: main |
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