{"id":"https://openalex.org/W4389615359","doi":"https://doi.org/10.1007/s11943-023-00333-x","title":"Can machine learning algorithms deliver superior models for rental guides?","display_name":"Can machine learning algorithms deliver superior models for rental guides?","publication_year":2023,"publication_date":"2023-12-01","ids":{"openalex":"https://openalex.org/W4389615359","doi":"https://doi.org/10.1007/s11943-023-00333-x"},"language":"en","primary_location":{"id":"doi:10.1007/s11943-023-00333-x","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s11943-023-00333-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11943-023-00333-x.pdf","source":{"id":"https://openalex.org/S54546190","display_name":"AStA Wirtschafts- und Sozialstatistisches Archiv","issn_l":"1863-8155","issn":["1863-8155","1863-8163"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AStA Wirtschafts- und Sozialstatistisches Archiv","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11943-023-00333-x.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093472743","display_name":"Oliver Trinkaus","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Oliver Trinkaus","raw_affiliation_strings":["EMA-Institut f\u00fcr empirische Marktanalysen, Regensburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EMA-Institut f\u00fcr empirische Marktanalysen, Regensburg, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065418517","display_name":"G\u00f6ran Kauermann","orcid":"https://orcid.org/0000-0003-0742-7835"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"G\u00f6ran Kauermann","raw_affiliation_strings":["Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I8204097"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5065418517","https://openalex.org/A5093472743"],"corresponding_institution_ids":["https://openalex.org/I8204097"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":{"value":2890,"currency":"USD","value_usd":2890},"fwci":0.2678,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51713164,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"17","issue":"3-4","first_page":"305","last_page":"330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.95169997215271,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.95169997215271,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.748916506767273},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7433730959892273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6317720413208008},{"id":"https://openalex.org/keywords/predictive-power","display_name":"Predictive power","score":0.47460049390792847},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4277816414833069},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4135456085205078}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.748916506767273},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7433730959892273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6317720413208008},{"id":"https://openalex.org/C2778136018","wikidata":"https://www.wikidata.org/wiki/Q10350689","display_name":"Predictive power","level":2,"score":0.47460049390792847},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4277816414833069},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4135456085205078},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s11943-023-00333-x","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s11943-023-00333-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11943-023-00333-x.pdf","source":{"id":"https://openalex.org/S54546190","display_name":"AStA Wirtschafts- und Sozialstatistisches Archiv","issn_l":"1863-8155","issn":["1863-8155","1863-8163"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AStA Wirtschafts- und Sozialstatistisches Archiv","raw_type":"journal-article"},{"id":"pmh:oai:econstor.eu:10419/313164","is_oa":true,"landing_page_url":"https://hdl.handle.net/10419/313164","pdf_url":"https://www.econstor.eu/bitstream/10419/313164/1/s11943-023-00333-x.pdf","source":{"id":"https://openalex.org/S4306401696","display_name":"Econstor (Econstor)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"doc-type:article"},{"id":"pmh:oai:epub.ub.uni-muenchen.de:116426","is_oa":true,"landing_page_url":"https://epub.ub.uni-muenchen.de/116426/","pdf_url":"https://epub.ub.uni-muenchen.de/116426/1/s11943-023-00333-x.pdf","source":{"id":"https://openalex.org/S4306401845","display_name":"Open access LMU (Ludwid Maxmilian's Universitat Munchen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I8204097","host_organization_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","host_organization_lineage":["https://openalex.org/I8204097"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"AStA Wirtschafts- und Sozialstatistisches Archiv","raw_type":"doc-type:article"},{"id":"pmh:oai:RePEc:spr:astaws:v:17:y:2023:i:3:d:10.1007_s11943-023-00333-x","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s11943-023-00333-x","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s11943-023-00333-x","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s11943-023-00333-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11943-023-00333-x.pdf","source":{"id":"https://openalex.org/S54546190","display_name":"AStA Wirtschafts- und Sozialstatistisches Archiv","issn_l":"1863-8155","issn":["1863-8155","1863-8163"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AStA Wirtschafts- und Sozialstatistisches Archiv","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323390","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4389615359.pdf"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W9657784","https://openalex.org/W1678356000","https://openalex.org/W1985258161","https://openalex.org/W2024046085","https://openalex.org/W2165558283","https://openalex.org/W2181523240","https://openalex.org/W2295598076","https://openalex.org/W2485790164","https://openalex.org/W2548565055","https://openalex.org/W2911964244","https://openalex.org/W3004732066","https://openalex.org/W3103836116","https://openalex.org/W3122156443","https://openalex.org/W4212883601","https://openalex.org/W4247200422","https://openalex.org/W4256464868","https://openalex.org/W4381232650"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2],"paper":[3],"we":[4,127,132,153],"discuss":[5,51,88],"the":[6,73,81,89,106,136,142,145,149],"use":[7,69],"and":[8,11,37,53,56,64,77,100],"potential":[9],"advantages":[10],"disadvantages":[12],"of":[13,33,59,70,84,94,113,144],"machine":[14,60],"learning":[15,61],"driven":[16],"models":[17,45,96,119,156,171],"in":[18,28,35,105,135],"rental":[19,75,107],"guides.":[20],"Rental":[21],"guides":[22],"are":[23,40],"a":[24],"formal":[25],"legal":[26],"instrument":[27],"Germany":[29],"for":[30,103],"surveying":[31],"rents":[32],"flats":[34],"cities":[36],"municipalities,":[38],"which":[39],"today":[41],"based":[42],"on":[43,80],"regression":[44],"or":[46,174],"simple":[47],"contingency":[48],"tables.":[49],"We":[50,67,87],"if":[52],"how":[54,117,138],"modern":[55],"timely":[57],"methods":[58],"outperform":[62],"existing":[63],"established":[65],"routines.":[66],"make":[68],"data":[71,140,150],"from":[72,162],"Munich":[74],"guide":[76,108],"mainly":[78],"focus":[79],"predictive":[82,159],"power":[83],"these":[85,95],"models.":[86,147],"\u201cblack-box\u201d":[90,118],"character":[91],"making":[92],"some":[93],"difficult":[97],"to":[98,115,123,166],"interpret":[99],"hence":[101],"challenging":[102],"applications":[104],"context.":[109],"Still,":[110],"it":[111],"is":[112],"interest":[114],"see":[116],"perform":[120],"with":[121,157],"respect":[122],"prediction":[124,146],"error.":[125],"Moreover,":[126],"study":[128],"adversarial":[129],"effects,":[130],"i.e.":[131],"investigate":[133],"robustness":[134],"sense":[137],"corrupted":[139],"influence":[141],"performance":[143,160],"With":[148],"at":[151],"hand":[152],"show":[154],"that":[155],"promising":[158],"suffer":[161],"being":[163],"more":[164],"vulnerable":[165],"corruptions":[167],"than":[168],"classic":[169],"linear":[170],"including":[172],"Ridge":[173],"Lasso":[175],"regularization.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}