{"id":"https://openalex.org/W4366769271","doi":"https://doi.org/10.2478/jdis-2023-0008","title":"Regression discontinuity design and its applications to Science of Science: A survey","display_name":"Regression discontinuity design and its applications to Science of Science: A survey","publication_year":2023,"publication_date":"2023-04-22","ids":{"openalex":"https://openalex.org/W4366769271","doi":"https://doi.org/10.2478/jdis-2023-0008"},"language":"en","primary_location":{"id":"doi:10.2478/jdis-2023-0008","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jdis-2023-0008","pdf_url":"https://sciendo.com/pdf/10.2478/jdis-2023-0008","source":{"id":"https://openalex.org/S2764801193","display_name":"Journal of Data and Information Science","issn_l":"2096-157X","issn":["2096-157X","2543-683X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311940","host_organization_name":"Chinese Academy of Sciences","host_organization_lineage":["https://openalex.org/P4310311940"],"host_organization_lineage_names":["Chinese Academy of Sciences"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Data and Information Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://sciendo.com/pdf/10.2478/jdis-2023-0008","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100714693","display_name":"Meiling Li","orcid":"https://orcid.org/0000-0001-5090-6458"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiling Li","raw_affiliation_strings":["School of Public Policy and Administration, Xi\u2019an Jiaotong University , Xi\u2019an , Shaanxi , China","School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Public Policy and Administration, Xi\u2019an Jiaotong University , Xi\u2019an , Shaanxi , China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354775","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0003-1718-0733"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["School of Public Policy and Administration, Xi\u2019an Jiaotong University , Xi\u2019an , Shaanxi , China","School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Public Policy and Administration, Xi\u2019an Jiaotong University , Xi\u2019an , Shaanxi , China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100625892","display_name":"Yang Wang","orcid":"https://orcid.org/0000-0002-0092-927X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Wang","raw_affiliation_strings":["School of Public Policy and Administration, Xi\u2019an Jiaotong University , Xi\u2019an , Shaanxi , China","School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Public Policy and Administration, Xi\u2019an Jiaotong University , Xi\u2019an , Shaanxi , China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100625892"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.8534,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73224044,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"8","issue":"2","first_page":"43","last_page":"65"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9842000007629395,"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":0.9842000007629395,"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/T10438","display_name":"Energy, Environment, Economic Growth","score":0.916700005531311,"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/T11577","display_name":"Cognitive Abilities and Testing","score":0.9140999913215637,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.705768346786499},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.582249104976654},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5631468892097473},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5346027612686157},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.4503936171531677},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14563125371932983},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1123589277267456},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.08845621347427368}],"concepts":[{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.705768346786499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.582249104976654},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5631468892097473},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5346027612686157},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.4503936171531677},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14563125371932983},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1123589277267456},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.08845621347427368},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2478/jdis-2023-0008","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jdis-2023-0008","pdf_url":"https://sciendo.com/pdf/10.2478/jdis-2023-0008","source":{"id":"https://openalex.org/S2764801193","display_name":"Journal of Data and Information Science","issn_l":"2096-157X","issn":["2096-157X","2543-683X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311940","host_organization_name":"Chinese Academy of Sciences","host_organization_lineage":["https://openalex.org/P4310311940"],"host_organization_lineage_names":["Chinese Academy of Sciences"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Data and Information Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3a8dc1141e88483391ef4583d7c4b6a7","is_oa":true,"landing_page_url":"https://doaj.org/article/3a8dc1141e88483391ef4583d7c4b6a7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Data and Information Science, Vol 8, Iss 2, Pp 43-65 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.2478/jdis-2023-0008","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jdis-2023-0008","pdf_url":"https://sciendo.com/pdf/10.2478/jdis-2023-0008","source":{"id":"https://openalex.org/S2764801193","display_name":"Journal of Data and Information Science","issn_l":"2096-157X","issn":["2096-157X","2543-683X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311940","host_organization_name":"Chinese Academy of Sciences","host_organization_lineage":["https://openalex.org/P4310311940"],"host_organization_lineage_names":["Chinese Academy of Sciences"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Data and Information Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1860384063","display_name":null,"funder_award_id":"72004177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8781593532","display_name":null,"funder_award_id":"L1924078","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4366769271.pdf"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W1932742904","https://openalex.org/W1968518701","https://openalex.org/W1988671384","https://openalex.org/W2009669918","https://openalex.org/W2025880098","https://openalex.org/W2026057847","https://openalex.org/W2041863100","https://openalex.org/W2063034906","https://openalex.org/W2064040846","https://openalex.org/W2068232229","https://openalex.org/W2085025621","https://openalex.org/W2112392944","https://openalex.org/W2114242548","https://openalex.org/W2117935976","https://openalex.org/W2124689612","https://openalex.org/W2126604418","https://openalex.org/W2141019942","https://openalex.org/W2145411167","https://openalex.org/W2151897275","https://openalex.org/W2156395573","https://openalex.org/W2158550208","https://openalex.org/W2159661740","https://openalex.org/W2190611300","https://openalex.org/W2577227262","https://openalex.org/W2597756041","https://openalex.org/W2737079750","https://openalex.org/W2739374351","https://openalex.org/W2753680723","https://openalex.org/W2765658614","https://openalex.org/W2780028966","https://openalex.org/W2790866882","https://openalex.org/W2793071066","https://openalex.org/W2802509651","https://openalex.org/W2806176719","https://openalex.org/W2808505390","https://openalex.org/W2891006732","https://openalex.org/W2905469878","https://openalex.org/W2912698222","https://openalex.org/W2913773162","https://openalex.org/W2964099165","https://openalex.org/W2977412048","https://openalex.org/W3011163375","https://openalex.org/W3023192715","https://openalex.org/W3034146980","https://openalex.org/W3045284056","https://openalex.org/W3103058826","https://openalex.org/W3107377267","https://openalex.org/W3121471620","https://openalex.org/W3121799262","https://openalex.org/W3122699284","https://openalex.org/W3122958054","https://openalex.org/W3124765710","https://openalex.org/W3125244926","https://openalex.org/W3149363172","https://openalex.org/W3194111265","https://openalex.org/W3194778434","https://openalex.org/W4223536762","https://openalex.org/W4226208497","https://openalex.org/W4284704491","https://openalex.org/W4290725181","https://openalex.org/W4293483937","https://openalex.org/W4295883415","https://openalex.org/W4304694909","https://openalex.org/W4390631252"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2130043461","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Abstract":[0],"Purpose":[1],"With":[2],"the":[3,16,28,35,38,48,56,72,85,100,108,116,134,139,146,161,174,186,220,246,308,321,326,334],"availability":[4],"of":[5,25,31,40,87,89,99,110,124,136,151,160,163,176,188,256,290,313,328,336,338],"large-scale":[6],"scholarly":[7],"datasets,":[8],"scientists":[9,212],"from":[10,37],"various":[11,167,231],"domains":[12],"hope":[13],"to":[14,144,184,218,267,283,306],"understand":[15],"underlying":[17],"mechanisms":[18],"behind":[19],"science,":[20],"forming":[21],"a":[22,67,96,157,181,264,331],"vibrant":[23],"area":[24],"inquiry":[26],"in":[27,71,84,107,166,173,209,230,254,311,333],"emerging":[29],"\u201cscience":[30],"science\u201d":[32],"field.":[33],"As":[34],"results":[36],"science":[39,41,88,109,175,237,255,257,312,314,337],"often":[42],"has":[43,79,249],"strong":[44,228],"policy":[45],"implications,":[46],"understanding":[47],"causal":[49,63],"relationships":[50],"between":[51],"variables":[52],"becomes":[53],"prominent.":[54],"However,":[55,241],"most":[57],"credible":[58],"quasi-experimental":[59],"method":[60,248,310,332],"among":[61],"all":[62],"inference":[64],"methods,":[65],"and":[66,103,121,128,138,148,215,238,287,298,323],"highly":[68],"valuable":[69],"tool":[70],"empirical":[73],"toolkit,":[74],"Regression":[75],"Discontinuity":[76],"Design":[77],"(RDD)":[78],"not":[80,250,281],"been":[81,251],"fully":[82],"exploited":[83],"field":[86,335],"science.":[90,111,177,240,339],"In":[91],"this":[92],"paper,":[93],"we":[94,114,132,155,179,242],"provide":[95,156],"systematic":[97,158],"survey":[98,159],"RDD":[101,152,164,197,221,225,247,269,291,309],"method,":[102],"its":[104,296],"practical":[105],"applications":[106,162,229],"Design/methodology/approach":[112],"First,":[113],"introduce":[115],"basic":[117],"assumptions,":[118],"mathematical":[119,214,286],"notations,":[120],"two":[122],"types":[123],"RDD,":[125,322],"i.e.,":[126],"sharp":[127],"fuzzy":[129],"RDD.":[130],"Second,":[131],"use":[133,307],"Web":[135],"Science":[137],"Microsoft":[140],"Academic":[141],"Graph":[142],"datasets":[143],"study":[145,183],"evolution":[147],"citation":[149],"patterns":[150],"papers.":[153],"Moreover,":[154],"methodologies":[165],"scientific":[168],"domains,":[169,232],"as":[170,172],"well":[171,252],"Finally,":[178],"demonstrate":[180],"case":[182],"estimate":[185],"effect":[187],"Head":[189],"Start":[190],"Funding":[191],"Proposals":[192],"on":[193,295],"child":[194],"mortality.":[195],"Findings":[196],"was":[198,206],"almost":[199],"neglected":[200],"for":[201,325],"30":[202],"years":[203],"after":[204],"it":[205],"first":[207],"introduced":[208],"1960.":[210],"Afterward,":[211],"used":[213],"economic":[216],"tools":[217],"develop":[219,284],"methodology.":[222],"After":[223],"2010,":[224],"methods":[226],"showed":[227],"including":[233],"medicine,":[234],"psychology,":[235],"political":[236],"environmental":[239],"also":[243],"notice":[244],"that":[245],"developed":[253],"research.":[258,315],"Research":[259],"Limitations":[260],"This":[261,302,317],"work":[262,279,303,318],"uses":[263],"keyword":[265],"search":[266],"obtain":[268],"papers,":[270],"which":[271],"may":[272],"neglect":[273],"some":[274],"related":[275],"work.":[276],"Additionally,":[277],"our":[278],"does":[280],"aim":[282],"rigorous":[285],"technical":[288],"details":[289],"but":[292],"rather":[293],"focuses":[294],"intuitions":[297],"applications.":[299],"Practical":[300],"implications":[301],"proposes":[304],"how":[305],"Originality/value":[316],"systematically":[319],"introduces":[320],"calls":[324],"awareness":[327],"using":[329],"such":[330]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2023-04-25T00:00:00"}
