{"id":"https://openalex.org/W7124143292","doi":"https://doi.org/10.1287/mksc.2023.0511","title":"A Deep-DiD Method to Estimate Heterogeneous Treatment Effects: Application to Content Creator Selection","display_name":"A Deep-DiD Method to Estimate Heterogeneous Treatment Effects: Application to Content Creator Selection","publication_year":2026,"publication_date":"2026-01-14","ids":{"openalex":"https://openalex.org/W7124143292","doi":"https://doi.org/10.1287/mksc.2023.0511"},"language":"en","primary_location":{"id":"doi:10.1287/mksc.2023.0511","is_oa":false,"landing_page_url":"https://doi.org/10.1287/mksc.2023.0511","pdf_url":null,"source":{"id":"https://openalex.org/S163534328","display_name":"Marketing Science","issn_l":"0732-2399","issn":["0732-2399","1526-548X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315699","host_organization_name":"Institute for Operations Research and the Management Sciences","host_organization_lineage":["https://openalex.org/P4310315699"],"host_organization_lineage_names":["Institute for Operations Research and the Management Sciences"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Marketing Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123040608","display_name":"Yan Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I181679659","display_name":"Shanghai University of Finance and Economics","ror":"https://ror.org/00wtvfq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I181679659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Cheng","raw_affiliation_strings":["College of Business, Shanghai University of Finance and Economics, Shanghai 200433, China"],"raw_orcid":"https://orcid.org/0000-0002-7625-5857","affiliations":[{"raw_affiliation_string":"College of Business, Shanghai University of Finance and Economics, Shanghai 200433, China","institution_ids":["https://openalex.org/I181679659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123017359","display_name":"Jingbo Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jingbo Wang","raw_affiliation_strings":["Department of Marketing, The Chinese University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0001-9612-4558","affiliations":[{"raw_affiliation_string":"Department of Marketing, The Chinese University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123047677","display_name":"Xinyu Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xinyu Cao","raw_affiliation_strings":["Department of Marketing, The Chinese University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0001-8309-9947","affiliations":[{"raw_affiliation_string":"Department of Marketing, The Chinese University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123023472","display_name":"Zuo-Jun Max Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086892","display_name":"Education University of Hong Kong","ror":"https://ror.org/000t0f062","country_code":"HK","type":"education","lineage":["https://openalex.org/I4210086892"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zuo-Jun Max Shen","raw_affiliation_strings":["Department of Industrial Engineering and Operations Research & Department of Civil and Environmental Engineering, The University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Operations Research & Department of Civil and Environmental Engineering, The University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I4210086892","https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123030122","display_name":"Yuhui Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I1308614123","display_name":"Ministry of Industry and Trade","ror":"https://ror.org/03j4eb467","country_code":"CZ","type":"government","lineage":["https://openalex.org/I1308614123"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Yuhui Zhang","raw_affiliation_strings":["Industry Collaborator"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industry Collaborator","institution_ids":["https://openalex.org/I1308614123"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.7287,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.9529393,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"45","issue":"2","first_page":"258","last_page":"279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.21780000627040863,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.21780000627040863,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10206","display_name":"Meta-analysis and systematic reviews","score":0.10890000313520432,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.04450000077486038,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6845999956130981},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5005999803543091},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.43619999289512634},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.3799999952316284},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.3619000017642975}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7141000032424927},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6845999956130981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5315999984741211},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5005999803543091},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.43619999289512634},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.3799999952316284},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.3619000017642975},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3517000079154968},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3474999964237213},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.30959999561309814}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1287/mksc.2023.0511","is_oa":false,"landing_page_url":"https://doi.org/10.1287/mksc.2023.0511","pdf_url":null,"source":{"id":"https://openalex.org/S163534328","display_name":"Marketing Science","issn_l":"0732-2399","issn":["0732-2399","1526-548X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315699","host_organization_name":"Institute for Operations Research and the Management Sciences","host_organization_lineage":["https://openalex.org/P4310315699"],"host_organization_lineage_names":["Institute for Operations Research and the Management Sciences"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Marketing Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1806891645","https://openalex.org/W2064903582","https://openalex.org/W2078983314","https://openalex.org/W2096684396","https://openalex.org/W2132652356","https://openalex.org/W2171656257","https://openalex.org/W2208550830","https://openalex.org/W2530539196","https://openalex.org/W2620014249","https://openalex.org/W2768711059","https://openalex.org/W2896556344","https://openalex.org/W2901435810","https://openalex.org/W2941210906","https://openalex.org/W2952150717","https://openalex.org/W2962727190","https://openalex.org/W2970515480","https://openalex.org/W2973682480","https://openalex.org/W2979586175","https://openalex.org/W2984184072","https://openalex.org/W2985046451","https://openalex.org/W3040692926","https://openalex.org/W3112066496","https://openalex.org/W3121948532","https://openalex.org/W3122080363","https://openalex.org/W3122149192","https://openalex.org/W3123436326","https://openalex.org/W3125057276","https://openalex.org/W3125286374","https://openalex.org/W3128559045","https://openalex.org/W3129206486","https://openalex.org/W3130455361","https://openalex.org/W3131339187","https://openalex.org/W3169290523","https://openalex.org/W3180307753","https://openalex.org/W3193549051","https://openalex.org/W3197716485","https://openalex.org/W4200180850","https://openalex.org/W4205853270","https://openalex.org/W4210950865","https://openalex.org/W4225582302","https://openalex.org/W4226171820","https://openalex.org/W4280645626","https://openalex.org/W4283454728","https://openalex.org/W4293194234","https://openalex.org/W4293217494","https://openalex.org/W4367396771","https://openalex.org/W4387652379","https://openalex.org/W4393986369","https://openalex.org/W4403538279","https://openalex.org/W4405660648","https://openalex.org/W4407397765","https://openalex.org/W4407766765","https://openalex.org/W4410233905"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"develops":[2],"a":[3,13],"Deep-DiD":[4],"method":[5],"that":[6],"integrates":[7],"two":[8],"deep":[9],"neural":[10],"networks":[11],"into":[12],"difference-in-differences":[14],"framework":[15],"to":[16,24],"estimate":[17],"heterogeneous":[18],"treatment":[19],"effects":[20],"and":[21],"applies":[22],"it":[23],"optimizing":[25],"platform":[26],"creator":[27],"selection.":[28]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2026-01-15T00:00:00"}
