{"id":"https://openalex.org/W26430839","doi":null,"title":"Structural Duration Analysis","display_name":"Structural Duration Analysis","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W26430839","mag":"26430839"},"language":"en","primary_location":{"id":"mag:26430839","doi":null,"is_oa":false,"landing_page_url":"https://jabbring.home.xs4all.nl/pdf/oratie%20UvT.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5023224147","display_name":"Jaap H. Abbring","orcid":"https://orcid.org/0000-0002-3405-9487","observed_orcids":["https://orcid.org/0000-0002-3405-9487"]},"institutions":[{"id":"https://openalex.org/I193700539","display_name":"Tilburg University","ror":"https://ror.org/04b8v1s79","country_code":"NL","type":"education","lineage":["https://openalex.org/I193700539"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Jaap H. Abbring","raw_affiliation_strings":["(Tilburg University)"],"raw_orcid":"https://orcid.org/0000-0002-3405-9487","affiliations":[{"raw_affiliation_string":"(Tilburg University)","institution_ids":["https://openalex.org/I193700539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023224147"],"corresponding_institution_ids":["https://openalex.org/I193700539"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00371125,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.25850000977516174,"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":0.25850000977516174,"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/T10208","display_name":"Labor market dynamics and wage inequality","score":0.17219999432563782,"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/T12137","display_name":"Economic theories and models","score":0.048900000751018524,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/event-history-analysis","display_name":"event history analysis","score":0.7440000176429749},{"id":"https://openalex.org/keywords/structural-econometrics","display_name":"structural econometrics","score":0.675000011920929},{"id":"https://openalex.org/keywords/discrete-time-models","display_name":"discrete-time models","score":0.7910000085830688},{"id":"https://openalex.org/keywords/continuous-time-models","display_name":"continuous-time models","score":0.9390000104904175},{"id":"https://openalex.org/keywords/poisson-process","display_name":"Poisson process","score":0.7229999899864197},{"id":"https://openalex.org/keywords/brownian-motion","display_name":"Brownian motion","score":0.9739999771118164},{"id":"https://openalex.org/keywords/identifiability","display_name":"identifiability","score":0.9169999957084656},{"id":"https://openalex.org/keywords/job-search-model","display_name":"job search model","score":0.7490000128746033},{"id":"https://openalex.org/keywords/labour-market-policy-evaluation","display_name":"labour market policy evaluation","score":0.8759999871253967},{"id":"https://openalex.org/keywords/information-asymmetry","display_name":"information asymmetry","score":0.7429999709129333},{"id":"https://openalex.org/keywords/insurance-market","display_name":"insurance market","score":0.9929999709129333},{"id":"https://openalex.org/keywords/business-growth","display_name":"business growth","score":0.8420000076293945},{"id":"https://openalex.org/keywords/business-survival","display_name":"business survival","score":0.7379999756813049},{"id":"https://openalex.org/keywords/learning","display_name":"learning","score":0.6000000238418579},{"id":"https://openalex.org/keywords/marriage-matching","display_name":"marriage matching","score":0.746999979019165},{"id":"https://openalex.org/keywords/job-matching","display_name":"job matching","score":0.9449999928474426}],"concepts":[{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.6714630126953125},{"id":"https://openalex.org/C55689738","wikidata":"https://www.wikidata.org/wiki/Q15963867","display_name":"Discrete time and continuous time","level":2,"score":0.6174207329750061},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5894569754600525},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5687907934188843},{"id":"https://openalex.org/C190669063","wikidata":"https://www.wikidata.org/wiki/Q5282043","display_name":"Discrete choice","level":2,"score":0.47458386421203613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4656919240951538},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.46223124861717224},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.46215397119522095},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.46167799830436707},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4308212101459503},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.39691275358200073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2682240605354309},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12841138243675232},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12478876113891602},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:26430839","doi":null,"is_oa":false,"landing_page_url":"https://jabbring.home.xs4all.nl/pdf/oratie%20UvT.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.48510000109672546,"id":"https://metadata.un.org/sdg/8"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W181858238","https://openalex.org/W567337522","https://openalex.org/W1510035077","https://openalex.org/W1522464934","https://openalex.org/W1547983777","https://openalex.org/W1591629962","https://openalex.org/W1596648599","https://openalex.org/W1639158518","https://openalex.org/W1787999017","https://openalex.org/W1862209268","https://openalex.org/W1973731779","https://openalex.org/W1975009779","https://openalex.org/W1995503011","https://openalex.org/W1996341585","https://openalex.org/W2024068463","https://openalex.org/W2026006398","https://openalex.org/W2027910983","https://openalex.org/W2033739349","https://openalex.org/W2037948546","https://openalex.org/W2046791876","https://openalex.org/W2057968703","https://openalex.org/W2059183841","https://openalex.org/W2064344477","https://openalex.org/W2069757101","https://openalex.org/W2090274227","https://openalex.org/W2096484081","https://openalex.org/W2101819586","https://openalex.org/W2109589799","https://openalex.org/W2121034459","https://openalex.org/W2127503409","https://openalex.org/W2131648886","https://openalex.org/W2149249192","https://openalex.org/W2149867011","https://openalex.org/W2151464056","https://openalex.org/W2152629188","https://openalex.org/W2161090352","https://openalex.org/W2170008927","https://openalex.org/W2238300326","https://openalex.org/W2319384619","https://openalex.org/W2796700885","https://openalex.org/W2803410035","https://openalex.org/W2886888160","https://openalex.org/W2890278638","https://openalex.org/W2978648229","https://openalex.org/W2991109951","https://openalex.org/W2995133996","https://openalex.org/W3121381580","https://openalex.org/W3122089893","https://openalex.org/W3122896188","https://openalex.org/W3124177394","https://openalex.org/W3124299008","https://openalex.org/W3125454191"],"related_works":["https://openalex.org/W2034031780","https://openalex.org/W2131875180","https://openalex.org/W3124177394","https://openalex.org/W2170782184","https://openalex.org/W563965007","https://openalex.org/W4247576531","https://openalex.org/W1608222528","https://openalex.org/W2887988775","https://openalex.org/W608310338","https://openalex.org/W2991109951"],"abstract_inverted_index":{"This":[0],"mini-course":[1],"provides":[2],"an":[3],"introduction":[4],"to":[5,57],"the":[6,55,65,92,109],"structural":[7],"econometric":[8],"analysis":[9],"of":[10,75,94,111],"durations":[11],"and":[12,37,41,49,68,71,83,98,127,129,131],"more":[13],"general":[14],"dynamic":[15,95],"discrete":[16,33,38],"outcomes.":[17],"We":[18],"explore":[19],"approaches":[20],"based":[21],"on":[22,80,87],"(A)":[23],"discrete-time":[24],"models,":[25],"(B)":[26],"continuous-time":[27,43],"models":[28,44],"in":[29,91,121],"which":[30,58],"agents":[31],"take":[32],"decisions":[34],"at":[35],"random":[36],"(Poisson)":[39],"times,":[40],"(C)":[42],"driven":[45],"by":[46,64],"Brownian":[47],"motion":[48],"its":[50],"extensions.":[51],"Throughout,":[52],"we":[53,78],"highlight":[54],"extent":[56],"model":[59],"primitives":[60],"are":[61,100],"uniquely":[62],"determined":[63],"data":[66],"(identifiability),":[67],"study":[69],"computational":[70],"empirical":[72,104],"methods.":[73],"Because":[74],"time":[76],"constraints,":[77],"focus":[79],"decision":[81],"problems":[82],"only":[84],"briefly":[85],"reflect":[86],"related":[88],"recent":[89],"developments":[90],"econometrics":[93],"games.":[96],"Theory":[97],"methods":[99],"illustrated":[101],"with":[102,115],"(potential)":[103],"applications.":[105],"These":[106],"may":[107],"include":[108],"evaluation":[110],"labor":[112,132],"market":[113,133],"policies":[114],"job":[116],"search":[117],"models;":[118],"asymmetric":[119],"information":[120],"insurance":[122],"markets;":[123],"firm":[124],"growth,":[125],"learning,":[126],"survival;":[128],"marriage":[130],"matching.":[134]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
