Journal article | Zeitschriftenartikel

Biographical Data of Social Insurance Agencies in Germany: Improving the Content of Administrative Data

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Urheber*in: Hochfellner, Daniela; Müller, Dana; Wurdack, Anja

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ISSN: 2568-762X

Extent: Seite(n): 443-451

Language: Englisch

Notes: Status: Veröffentlichungsversion

Bibliographic citation: Journal of Contextual Economics : Schmollers Jahrbuch, 132(3)

Subject: Sozialwissenschaften, Soziologie
soziale Sicherung
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Bundesrepublik Deutschland
Datengewinnung
Datenzugang
Sozialversicherung
amtliche Statistik
Datenqualität
soziale Sicherung
Rentenversicherung
Arbeitsagentur
Biographie
Daten
Datenaufbereitung
Grundlagenforschung
Methodenentwicklung

Event: Geistige Schöpfung

(who): Hochfellner, Daniela
Müller, Dana
Wurdack, Anja

Event: Veröffentlichung

(where): Deutschland

(when): 2012

URN: urn:nbn:de:0168-ssoar-408757

Rights: GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln

Last update: 21.06.2024, 4:26 PM CEST

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Zeitschriftenartikel

Associated

Hochfellner, Daniela
Müller, Dana
Wurdack, Anja

Time of origin

2012

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Biographical Data of Social Insurance Agencies in Germany: Improving the Content of Administrative Data

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Other Objects (12)

Biographical Data of Social Insurance Agencies in Germany: Improving the Content of Administrative Data

Biographical Data of Social Insurance Agencies in Germany – Improving the Content of Administrative Data

Leni Riefenstahl. Biographical Datas

Administrative Transaction Data

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Education Research and Administrative Data

Identifying couples in administrative data

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Biographical Data of Social Insurance Agencies in Germany: Improving the Content of Administrative Data

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Leni Riefenstahl. Biographical Datas

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Biographical Data concerning Alien Visa Applicant

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Identifying couples in administrative data

Linking LEEP-B3 Survey Data with Administrative IAB Data

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Biographical Data of Social Insurance Agencies in Germany: Improving the Content of Administrative Data

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