{"id":"https://openalex.org/W7120148733","doi":"https://doi.org/10.57938/2b273c10-d2c4-4baa-9f11-b9a34bcb9e56","title":"Automation, Gender, and Inequality: Which Tradeoffs do Policymakers Face?","display_name":"Automation, Gender, and Inequality: Which Tradeoffs do Policymakers Face?","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7120148733","doi":"https://doi.org/10.57938/2b273c10-d2c4-4baa-9f11-b9a34bcb9e56"},"language":"en","primary_location":{"id":"pmh:oai:research.wu.ac.at:openaire/2b273c10-d2c4-4baa-9f11-b9a34bcb9e56","doi":null,"is_oa":true,"landing_page_url":"https://research.wu.ac.at/de/publications/2b273c10-d2c4-4baa-9f11-b9a34bcb9e56","pdf_url":null,"source":{"id":"https://openalex.org/S7407055123","display_name":"WU Research","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Bishnu, M, Chingri, S, Mondal, D & Prettner, K 2025 'Automation, Gender, and Inequality: Which Tradeoffs do Policymakers Face?' Department of Economics Working Paper Series, no. 395, WU Vienna University of Economics and Business. https://doi.org/10.57938/2b273c10-d2c4-4baa-9f11-b9a34bcb9e56","raw_type":"info:eu-repo/semantics/other"},"volume":null,"type":"other","is_traditional":false,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.wu.ac.at/de/publications/2b273c10-d2c4-4baa-9f11-b9a34bcb9e56","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050906065","display_name":"Monisankar Bishnu","orcid":"https://orcid.org/0000-0003-2034-8066","observed_orcids":["https://orcid.org/0000-0003-2034-8066"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bishnu, Monisankar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114437286","display_name":"Subhrasil Chingri","orcid":"https://orcid.org/0009-0004-1142-5773","observed_orcids":["https://orcid.org/0009-0004-1142-5773"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chingri, Subhrasil","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101936614","display_name":"Debasis Mondal","orcid":"https://orcid.org/0009-0001-7624-359X","observed_orcids":["https://orcid.org/0009-0001-7624-359X","https://orcid.org/0000-0002-3836-6732"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mondal, Debasis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5060959837","display_name":"Klaus Prettner A","orcid":"https://orcid.org/0000-0002-8971-8750","observed_orcids":["https://orcid.org/0000-0002-8971-8750"]},"institutions":[{"id":"https://openalex.org/I102248843","display_name":"Vienna University of Economics and Business","ror":"https://ror.org/03yn8s215","country_code":"AT","type":"education","lineage":["https://openalex.org/I102248843"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Prettner, Klaus","raw_affiliation_strings":["Vienna University of Economics and Business"],"raw_orcid":"https://orcid.org/0000-0002-8971-8750","affiliations":[{"raw_affiliation_string":"Vienna University of Economics and Business","institution_ids":["https://openalex.org/I102248843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10208","display_name":"Labor market dynamics and wage inequality","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10208","display_name":"Labor market dynamics and wage inequality","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10393","display_name":"Economic Growth and Productivity","score":0.005100000184029341,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11544","display_name":"Gender, Labor, and Family Dynamics","score":0.004000000189989805,"subfield":{"id":"https://openalex.org/subfields/3318","display_name":"Gender Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/automation","display_name":"automation","score":0.9760000109672546},{"id":"https://openalex.org/keywords/gender-inequality","display_name":"gender inequality","score":0.9950000047683716},{"id":"https://openalex.org/keywords/skill-inequality","display_name":"skill inequality","score":0.8040000200271606},{"id":"https://openalex.org/keywords/high-skilled-workers","display_name":"high-skilled workers","score":0.753000020980835},{"id":"https://openalex.org/keywords/low-skilled-workers","display_name":"low-skilled workers","score":0.9869999885559082},{"id":"https://openalex.org/keywords/r-d-based-growth-model","display_name":"R&D-based growth model","score":0.8539999723434448},{"id":"https://openalex.org/keywords/education-subsidies","display_name":"education subsidies","score":0.6439999938011169},{"id":"https://openalex.org/keywords/robot-taxation","display_name":"robot taxation","score":0.9520000219345093},{"id":"https://openalex.org/keywords/redistribution","display_name":"redistribution","score":0.6679999828338623},{"id":"https://openalex.org/keywords/female-labor-force-participation","display_name":"female labor force participation","score":0.8140000104904175},{"id":"https://openalex.org/keywords/innovation","display_name":"innovation","score":0.7639999985694885},{"id":"https://openalex.org/keywords/economic-growth","display_name":"economic growth","score":0.9629999995231628},{"id":"https://openalex.org/keywords/gender-norms","display_name":"gender norms","score":0.7379999756813049},{"id":"https://openalex.org/keywords/women-s-empowerment","display_name":"women's empowerment","score":0.9100000262260437},{"id":"https://openalex.org/keywords/task-substitution","display_name":"task substitution","score":0.32499998807907104}],"concepts":[{"id":"https://openalex.org/C84265765","wikidata":"https://www.wikidata.org/wiki/Q193219","display_name":"Subsidy","level":2,"score":0.7585999965667725},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.6933000087738037},{"id":"https://openalex.org/C45555294","wikidata":"https://www.wikidata.org/wiki/Q28113351","display_name":"Inequality","level":2,"score":0.6629999876022339},{"id":"https://openalex.org/C145236788","wikidata":"https://www.wikidata.org/wiki/Q28161","display_name":"Labour economics","level":1,"score":0.612500011920929},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.5415999889373779},{"id":"https://openalex.org/C20555606","wikidata":"https://www.wikidata.org/wiki/Q868575","display_name":"Empowerment","level":2,"score":0.5077999830245972},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.3953000009059906},{"id":"https://openalex.org/C2780589192","wikidata":"https://www.wikidata.org/wiki/Q7285140","display_name":"Raising (metalworking)","level":2,"score":0.3580000102519989},{"id":"https://openalex.org/C513380476","wikidata":"https://www.wikidata.org/wiki/Q5055020","display_name":"Economic inequality","level":3,"score":0.3531999886035919},{"id":"https://openalex.org/C137996800","wikidata":"https://www.wikidata.org/wiki/Q762702","display_name":"Technological change","level":2,"score":0.32919999957084656},{"id":"https://openalex.org/C2994086107","wikidata":"https://www.wikidata.org/wiki/Q5055020","display_name":"Wage inequality","level":3,"score":0.31139999628067017},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.3061999976634979},{"id":"https://openalex.org/C100001284","wikidata":"https://www.wikidata.org/wiki/Q2248246","display_name":"Public economics","level":1,"score":0.30070000886917114},{"id":"https://openalex.org/C2781446414","wikidata":"https://www.wikidata.org/wiki/Q2992784","display_name":"Labor intensity","level":2,"score":0.29510000348091125},{"id":"https://openalex.org/C189326681","wikidata":"https://www.wikidata.org/wiki/Q10294","display_name":"Poverty","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.28220000863075256},{"id":"https://openalex.org/C2775982641","wikidata":"https://www.wikidata.org/wiki/Q15675642","display_name":"Women's empowerment","level":3,"score":0.2646999955177307},{"id":"https://openalex.org/C119693030","wikidata":"https://www.wikidata.org/wiki/Q2180497","display_name":"Economic model","level":2,"score":0.2567000091075897}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:research.wu.ac.at:openaire/2b273c10-d2c4-4baa-9f11-b9a34bcb9e56","doi":null,"is_oa":true,"landing_page_url":"https://research.wu.ac.at/de/publications/2b273c10-d2c4-4baa-9f11-b9a34bcb9e56","pdf_url":null,"source":{"id":"https://openalex.org/S7407055123","display_name":"WU Research","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Bishnu, M, Chingri, S, Mondal, D & Prettner, K 2025 'Automation, Gender, and Inequality: Which Tradeoffs do Policymakers Face?' Department of Economics Working Paper Series, no. 395, WU Vienna University of Economics and Business. https://doi.org/10.57938/2b273c10-d2c4-4baa-9f11-b9a34bcb9e56","raw_type":"info:eu-repo/semantics/other"},{"id":"doi:10.57938/2b273c10-d2c4-4baa-9f11-b9a34bcb9e56","doi":"https://doi.org/10.57938/2b273c10-d2c4-4baa-9f11-b9a34bcb9e56","is_oa":true,"landing_page_url":"https://doi.org/10.57938/2b273c10-d2c4-4baa-9f11-b9a34bcb9e56","pdf_url":null,"source":{"id":"https://openalex.org/S7407055123","display_name":"WU Research","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:research.wu.ac.at:openaire/2b273c10-d2c4-4baa-9f11-b9a34bcb9e56","doi":null,"is_oa":true,"landing_page_url":"https://research.wu.ac.at/de/publications/2b273c10-d2c4-4baa-9f11-b9a34bcb9e56","pdf_url":null,"source":{"id":"https://openalex.org/S7407055123","display_name":"WU Research","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Bishnu, M, Chingri, S, Mondal, D & Prettner, K 2025 'Automation, Gender, and Inequality: Which Tradeoffs do Policymakers Face?' Department of Economics Working Paper Series, no. 395, WU Vienna University of Economics and Business. https://doi.org/10.57938/2b273c10-d2c4-4baa-9f11-b9a34bcb9e56","raw_type":"info:eu-repo/semantics/other"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":1.0},{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.833299994468689},{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.75}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2604377339","https://openalex.org/W2931333911","https://openalex.org/W2907389531","https://openalex.org/W2105437380","https://openalex.org/W4414522835","https://openalex.org/W2756688313","https://openalex.org/W7148442172","https://openalex.org/W4390893707","https://openalex.org/W4410875583","https://openalex.org/W2782596352"],"abstract_inverted_index":{"This":[0],"paper":[1],"examines":[2],"the":[3,17,109,120,148,151,173],"role":[4],"of":[5,26,111,122,150,153],"automation":[6,27,62],"in":[7,16,28,71,147],"shaping":[8],"gender":[9,161],"inequality":[10,140,167],"among":[11],"high-skilled":[12,39,66,91],"and":[13,35,37,40,78,95,103,114,125,141,155,168],"low-skilled":[14,41,84],"workers":[15,113],"United":[18],"States.":[19],"We":[20],"develop":[21],"an":[22],"R&D-based":[23],"growth":[24,99,171],"model":[25],"which":[29],"we":[30],"endogenize":[31],"disparities":[32],"between":[33,38],"men":[34],"women":[36,131],"labor":[42],"through":[43,87],"education":[44],"choices.":[45],"Automation":[46],"substitutes":[47],"for":[48,65],"routine,":[49],"brawn-intensive":[50],"tasks,":[51],"while":[52],"it":[53],"complements":[54],"high-skilled,":[55],"brain-intensive":[56],"ones.":[57],"Our":[58],"framework":[59],"predicts":[60],"that":[61,157],"increases":[63],"demand":[64],"workers,":[67,85],"raising":[68],"female":[69,163],"participation":[70],"knowledge":[72],"production":[73],"but":[74,117,135],"also":[75],"widening":[76],"within-gender":[77,102,124,139],"between-skills":[79,104,126],"inequality.":[80,105,127],"Redistributive":[81],"transfers":[82],"to":[83,160],"financed":[86],"robot":[88],"taxation,":[89],"reduce":[90,132,166],"employment,":[92],"lower":[93],"innovation,":[94],"slow":[96,142],"down":[97,143],"economic":[98,144,170],"despite":[100],"compressing":[101],"Education":[106],"subsidies":[107],"expand":[108],"share":[110],"skilled":[112],"foster":[115],"innovation":[116],"come":[118],"at":[119,172],"cost":[121],"greater":[123],"Subsidies":[128],"targeted":[129],"on":[130],"between-gender":[133],"inequality,":[134],"they":[136],"can":[137,165],"raise":[138,169],"growth.":[145],"Finally,":[146],"case":[149],"presence":[152],"norms":[154],"institutions":[156],"are":[158],"detrimental":[159],"equality,":[162],"empowerment":[164],"same":[174],"time.":[175]},"counts_by_year":[],"updated_date":"2026-10-13T10:08:12.033832","created_date":"2026-01-10T00:00:00"}