{"id":"https://openalex.org/W4412496331","doi":"https://doi.org/10.7148/2025-0110","title":"Exploring The Impact Of Digital Skills On Subjective Well-Being Using Hybrid Models In Synthetic Panel Data Analysis","display_name":"Exploring The Impact Of Digital Skills On Subjective Well-Being Using Hybrid Models In Synthetic Panel Data Analysis","publication_year":2025,"publication_date":"2025-06-24","ids":{"openalex":"https://openalex.org/W4412496331","doi":"https://doi.org/10.7148/2025-0110"},"language":"en","primary_location":{"id":"doi:10.7148/2025-0110","is_oa":true,"landing_page_url":"https://doi.org/10.7148/2025-0110","pdf_url":"http://www.scs-europe.net/dlib/2025/ecms2025acceptedpapers/0110_fes_ecms2025_0038.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECMS 2025 Proceedings edited by Marco Scarpa, Salvatore Cavalieri, Salvatore Serrano, Fabrizio De Vita","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://www.scs-europe.net/dlib/2025/ecms2025acceptedpapers/0110_fes_ecms2025_0038.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5099990326","display_name":"Irina Semenova","orcid":"https://orcid.org/0009-0007-0134-0698"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Irina Semenova","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5016289155","display_name":"I. M. Chernenko","orcid":"https://orcid.org/0000-0001-9449-6323"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ilia Chernenko","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5099990326"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25264674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"110","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13588","display_name":"Regional resilience and development","score":0.7806000113487244,"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/T13588","display_name":"Regional resilience and development","score":0.7806000113487244,"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/T11479","display_name":"Smart Cities and Technologies","score":0.7490000128746033,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14019","display_name":"Socioeconomic and Demographic Analysis","score":0.7360000014305115,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5770817995071411},{"id":"https://openalex.org/keywords/panel-data","display_name":"Panel data","score":0.5740373134613037},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4779484272003174},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.27356433868408203},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11761650443077087},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.1010640561580658}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5770817995071411},{"id":"https://openalex.org/C6422946","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Panel data","level":2,"score":0.5740373134613037},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4779484272003174},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.27356433868408203},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11761650443077087},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.1010640561580658}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.7148/2025-0110","is_oa":true,"landing_page_url":"https://doi.org/10.7148/2025-0110","pdf_url":"http://www.scs-europe.net/dlib/2025/ecms2025acceptedpapers/0110_fes_ecms2025_0038.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECMS 2025 Proceedings edited by Marco Scarpa, Salvatore Cavalieri, Salvatore Serrano, Fabrizio De Vita","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.7148/2025-0110","is_oa":true,"landing_page_url":"https://doi.org/10.7148/2025-0110","pdf_url":"http://www.scs-europe.net/dlib/2025/ecms2025acceptedpapers/0110_fes_ecms2025_0038.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECMS 2025 Proceedings edited by Marco Scarpa, Salvatore Cavalieri, Salvatore Serrano, Fabrizio De Vita","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324099","display_name":"Russian Science Foundation","ror":"https://ror.org/03y2gwe85"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412496331.pdf","grobid_xml":"https://content.openalex.org/works/W4412496331.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Subjective":[0],"well-being":[1],"(SWB)":[2],"is":[3,20,175,183,194],"a":[4,87,93,151],"fundamental":[5],"indicator":[6],"of":[7,9,14,27,86],"quality":[8],"life,":[10],"reflecting":[11],"individuals\u2019":[12],"perceptions":[13],"satisfaction":[15,174,182],"and":[16,36,50,116,132,145,169,187,200],"happiness.":[17],"However,":[18],"research":[19],"often":[21],"constrained":[22],"by":[23,96,149,166,178,185],"the":[24,76,84],"limited":[25],"availability":[26],"cross-sectional":[28],"or":[29],"panel":[30,95],"datasets":[31],"that":[32,46,157,205],"capture":[33],"both":[34,48,114,142],"SWB":[35,65,161],"digital":[37,62,158,190,198,210],"skills":[38,159],"indicators.":[39],"Moreover,":[40],"developing":[41],"effective":[42],"policy":[43],"requires":[44],"models":[45,72,121],"differentiate":[47,137],"within-cluster":[49],"between-cluster":[51],"effects,":[52],"showing":[53],"variations":[54],"among":[55],"population":[56],"groups.":[57],"This":[58],"study":[59],"examines":[60],"how":[61],"competencies":[63],"influence":[64],"across":[66],"different":[67],"age":[68],"cohorts,":[69],"using":[70],"hybrid":[71,152],"to":[73,109,189,197,213],"account":[74],"for":[75,125],"heterogeneity":[77],"between":[78],"groups":[79],"in":[80],"synthetic":[81,94],"panel.":[82],"In":[83],"absence":[85],"comprehensive":[88],"unified":[89],"dataset,":[90],"we":[91,140],"constructed":[92],"integrating":[97],"data":[98],"from":[99,107],"four":[100],"Rosstat":[101],"databases":[102],"covering":[103],"76":[104],"Russian":[105],"regions":[106],"2016":[108],"2023,":[110],"enabling":[111],"analysis":[112],"at":[113],"cohort":[115],"regional":[117],"levels.":[118],"Fixed":[119],"effects":[120,148],"enhance":[122],"causal":[123],"inference":[124],"time-varying":[126],"factors,":[127],"such":[128],"as":[129],"skill":[130],"acquisition":[131],"income":[133],"fluctuations.":[134],"To":[135],"further":[136],"these":[138],"influences,":[139],"isolate":[141],"contextual":[143],"(between-cohort)":[144],"individual":[146],"(within-cohort)":[147],"employing":[150],"regression":[153],"model.":[154],"Findings":[155],"indicate":[156],"impact":[160],"through":[162],"multiple":[163],"channels":[164],"mediated":[165],"economic":[167,179],"conditions":[168],"health":[170],"dynamics.":[171],"Specifically,":[172],"work":[173],"primarily":[176],"influenced":[177],"conditions.":[180],"Health":[181],"affected":[184],"inequality":[186],"access":[188],"services.":[191],"Active":[192],"lifestyle":[193,216],"closely":[195],"linked":[196],"interactions":[199],"education.":[201],"The":[202],"findings":[203],"suggest":[204],"policymakers":[206],"should":[207],"prioritize":[208],"advanced":[209],"training":[211],"programs":[212],"mitigate":[214],"unintended":[215],"trade-offs.":[217]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
