dc.contributor.author | Münnich, Ralf | de |
dc.contributor.author | Schnell, Rainer | de |
dc.contributor.author | Brenzel, Hanna | de |
dc.contributor.author | Dieckmann, Hanna | de |
dc.contributor.author | Dräger, Sebastian | de |
dc.contributor.author | Emmenegger, Jana | de |
dc.contributor.author | Höcker, Philip | de |
dc.contributor.author | Kopp, Johannes | de |
dc.contributor.author | Merkle, Hariolf | de |
dc.contributor.author | Neufang, Kristina | de |
dc.contributor.author | Obersneider, Monika | de |
dc.contributor.author | Reinhold, Julian | de |
dc.contributor.author | Schaller, Jannik | de |
dc.contributor.author | Schmaus, Simon | de |
dc.contributor.author | Stein, Petra | de |
dc.date.accessioned | 2021-08-06T12:10:59Z | |
dc.date.available | 2021-08-06T12:10:59Z | |
dc.date.issued | 2021 | de |
dc.identifier.issn | 2190-4936 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/74271 | |
dc.description.abstract | Microsimulation models are widely used to evaluate the potential effects of different policies on social indicators. Most microsimulation models in use operate on a national level, disregarding regional variations. We describe the construction of a national microsimulation model for Germany, accounting for local variations in each of the more than 10,000 communities in Germany. The database used and the mechanisms implementing the population dynamics are described. Finally, the further development of the database and microsimulation programs are outlined, which will contribute towards a research lab that will be made available to the wider scientific community. | de |
dc.language | en | de |
dc.subject.ddc | Sozialwissenschaften, Soziologie | de |
dc.subject.ddc | Social sciences, sociology, anthropology | en |
dc.subject.other | microsimulation methods; spatial microsimulation; social simulation; multivariate modelling; multi-source modelling; synthetic data generation | de |
dc.title | A Population Based Regional Dynamic Microsimulation of Germany: The MikroSim Model | de |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.source.journal | Methods, data, analyses : a journal for quantitative methods and survey methodology (mda) | |
dc.source.volume | 15 | de |
dc.publisher.country | DEU | de |
dc.source.issue | 2 | de |
dc.subject.classoz | Erhebungstechniken und Analysetechniken der Sozialwissenschaften | de |
dc.subject.classoz | Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods | en |
dc.subject.thesoz | Bundesrepublik Deutschland | de |
dc.subject.thesoz | Federal Republic of Germany | en |
dc.subject.thesoz | Bevölkerung | de |
dc.subject.thesoz | population | en |
dc.subject.thesoz | Simulation | de |
dc.subject.thesoz | simulation | en |
dc.subject.thesoz | Sozialforschung | de |
dc.subject.thesoz | social research | en |
dc.subject.thesoz | Datengewinnung | de |
dc.subject.thesoz | data capture | en |
dc.subject.thesoz | Modell | de |
dc.subject.thesoz | model | en |
dc.rights.licence | Creative Commons - Namensnennung 4.0 | de |
dc.rights.licence | Creative Commons - Attribution 4.0 | en |
internal.status | formal und inhaltlich fertig erschlossen | de |
internal.identifier.thesoz | 10037571 | |
internal.identifier.thesoz | 10034764 | |
internal.identifier.thesoz | 10037865 | |
internal.identifier.thesoz | 10042041 | |
internal.identifier.thesoz | 10040547 | |
internal.identifier.thesoz | 10036422 | |
dc.type.stock | article | de |
dc.type.document | Zeitschriftenartikel | de |
dc.type.document | journal article | en |
dc.source.pageinfo | 241-264 | de |
internal.identifier.classoz | 10105 | |
internal.identifier.journal | 614 | |
internal.identifier.document | 32 | |
internal.identifier.ddc | 300 | |
dc.identifier.doi | https://doi.org/10.12758/mda.2021.03 | de |
dc.description.pubstatus | Veröffentlichungsversion | de |
dc.description.pubstatus | Published Version | en |
internal.identifier.licence | 16 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 1 | |
internal.pdf.wellformed | true | |
internal.pdf.ocr | null Page_24 | |
internal.pdf.encrypted | false | |
ssoar.urn.registration | false | de |