{"id":"https://openalex.org/W7127967188","doi":"https://doi.org/10.7910/dvn/pv2lxj","title":"Data and Code for: On-Demand Assistance: Experimental Evidence from Indonesia","display_name":"Data and Code for: On-Demand Assistance: Experimental Evidence from Indonesia","publication_year":2025,"publication_date":"2025-09-29","ids":{"openalex":"https://openalex.org/W7127967188","doi":"https://doi.org/10.7910/dvn/pv2lxj"},"language":"en","primary_location":{"id":"doi:10.7910/dvn/pv2lxj","doi":"https://doi.org/10.7910/dvn/pv2lxj","is_oa":true,"landing_page_url":"https://doi.org/10.7910/dvn/pv2lxj","pdf_url":null,"source":{"id":"https://openalex.org/S4377196806","display_name":"Harvard Dataverse","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I136199984","host_organization_name":"Harvard University","host_organization_lineage":["https://openalex.org/I136199984"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"volume":null,"type":"dataset","is_traditional":false,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.7910/dvn/pv2lxj","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008874245","display_name":"Rema Hanna","orcid":"https://orcid.org/0000-0001-6845-2327","observed_orcids":["https://orcid.org/0000-0001-6845-2327"]},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanna, Rema","raw_affiliation_strings":["Harvard Kennedy School"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard Kennedy School","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000626413","display_name":"Benjamin Olken","orcid":"https://orcid.org/0000-0003-1918-4631","observed_orcids":["https://orcid.org/0000-0003-1918-4631"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Olken, Benjamin","raw_affiliation_strings":["MIT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066303136","display_name":"Sudarno Sumarto","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sumarto, Sudarno","raw_affiliation_strings":["SMERU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SMERU","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125201243","display_name":"Achmad Maulana","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I91819753","display_name":"Padjadjaran University","ror":"https://ror.org/00xqf8t64","country_code":"ID","type":"education","lineage":["https://openalex.org/I91819753"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Maulana, Achmad","raw_affiliation_strings":["Universitas Padjadjaran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Padjadjaran","institution_ids":["https://openalex.org/I91819753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079267101","display_name":"Vivi Alatas","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alatas, Vivi","raw_affiliation_strings":["Asakreativita"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Asakreativita","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068745113","display_name":"Elan Satriawan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I165230279","display_name":"Universitas Gadjah Mada","ror":"https://ror.org/03ke6d638","country_code":"ID","type":"education","lineage":["https://openalex.org/I165230279"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Satriawan, Elan","raw_affiliation_strings":["University of Gadjah Mada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Gadjah Mada","institution_ids":["https://openalex.org/I165230279"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"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/T11556","display_name":"Poverty, Education, and Child Welfare","score":0.7505000233650208,"subfield":{"id":"https://openalex.org/subfields/3303","display_name":"Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11556","display_name":"Poverty, Education, and Child Welfare","score":0.7505000233650208,"subfield":{"id":"https://openalex.org/subfields/3303","display_name":"Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10208","display_name":"Labor market dynamics and wage inequality","score":0.04989999905228615,"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":0.048500001430511475,"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/informal-employment","display_name":"informal employment","score":0.7919999957084656},{"id":"https://openalex.org/keywords/employment-shocks","display_name":"employment shocks","score":0.9800000190734863},{"id":"https://openalex.org/keywords/take-up","display_name":"take-up","score":0.5410000085830688},{"id":"https://openalex.org/keywords/lottery-assignment","display_name":"lottery assignment","score":0.3499999940395355},{"id":"https://openalex.org/keywords/program-design","display_name":"program design","score":0.4880000054836273},{"id":"https://openalex.org/keywords/income-effects","display_name":"income effects","score":0.4009999930858612},{"id":"https://openalex.org/keywords/consumption","display_name":"consumption","score":0.5249999761581421},{"id":"https://openalex.org/keywords/indonesia","display_name":"Indonesia","score":0.4740000069141388}],"concepts":[{"id":"https://openalex.org/C2778979077","wikidata":"https://www.wikidata.org/wiki/Q330190","display_name":"Receipt","level":2,"score":0.794700026512146},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.651199996471405},{"id":"https://openalex.org/C2778083465","wikidata":"https://www.wikidata.org/wiki/Q693464","display_name":"Cash","level":2,"score":0.5695000290870667},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.5217000246047974},{"id":"https://openalex.org/C94982200","wikidata":"https://www.wikidata.org/wiki/Q5380545","display_name":"Entitlement (fair division)","level":2,"score":0.49709999561309814},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.48660001158714294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4510999917984009},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.36649999022483826},{"id":"https://openalex.org/C145236788","wikidata":"https://www.wikidata.org/wiki/Q28161","display_name":"Labour economics","level":1,"score":0.35830000042915344},{"id":"https://openalex.org/C198477413","wikidata":"https://www.wikidata.org/wiki/Q7647069","display_name":"Survey data collection","level":2,"score":0.30959999561309814},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.30889999866485596},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.30809998512268066},{"id":"https://openalex.org/C2778126366","wikidata":"https://www.wikidata.org/wiki/Q41171","display_name":"Unemployment","level":2,"score":0.29829999804496765},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.29409998655319214},{"id":"https://openalex.org/C83864248","wikidata":"https://www.wikidata.org/wiki/Q177323","display_name":"Developing country","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C2780962165","wikidata":"https://www.wikidata.org/wiki/Q1351807","display_name":"Remittance","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.26589998602867126},{"id":"https://openalex.org/C194051981","wikidata":"https://www.wikidata.org/wiki/Q1337691","display_name":"Economic shortage","level":3,"score":0.26570001244544983},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2651999890804291},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.26350000500679016},{"id":"https://openalex.org/C2777388388","wikidata":"https://www.wikidata.org/wiki/Q6821213","display_name":"Wage","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2535000145435333},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.7910/dvn/pv2lxj","doi":"https://doi.org/10.7910/dvn/pv2lxj","is_oa":true,"landing_page_url":"https://doi.org/10.7910/dvn/pv2lxj","pdf_url":null,"source":{"id":"https://openalex.org/S4377196806","display_name":"Harvard Dataverse","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I136199984","host_organization_name":"Harvard University","host_organization_lineage":["https://openalex.org/I136199984"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.7910/dvn/pv2lxj","doi":"https://doi.org/10.7910/dvn/pv2lxj","is_oa":true,"landing_page_url":"https://doi.org/10.7910/dvn/pv2lxj","pdf_url":null,"source":{"id":"https://openalex.org/S4377196806","display_name":"Harvard Dataverse","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I136199984","host_organization_name":"Harvard University","host_organization_lineage":["https://openalex.org/I136199984"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[{"score":1.0,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"},{"score":0.8928999900817871,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"},{"score":0.6207000017166138,"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16"},{"score":0.5,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"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/W4210603759","https://openalex.org/W4399491566","https://openalex.org/W4378675031","https://openalex.org/W7171848274","https://openalex.org/W4296220223","https://openalex.org/W7111191740","https://openalex.org/W7131892947","https://openalex.org/W2514265298","https://openalex.org/W7214018025","https://openalex.org/W7223456752"],"abstract_inverted_index":{"Given":[0],"labor":[1],"informality":[2],"in":[3],"developing":[4],"countries,":[5],"addressing":[6],"employment":[7,59],"shocks":[8],"is":[9],"challenging.":[10],"We":[11],"study":[12],"Indonesia\u2019s":[13],"new":[14],"approach":[15],"for":[16,20,92],"on-demand":[17,84],"online":[18,25],"applications":[19],"temporary":[21],"cash":[22],"assistance":[23,85],"and":[24,75],"job":[26],"training.":[27],"Through":[28],"20":[29],"lotteries":[30],"over":[31],"two":[32],"years,":[33],"11":[34],"million":[35],"beneficiaries":[36,48],"were":[37],"selected.":[38],"In":[39,62],"nationwide,":[40],"representative":[41],"surveys":[42],"matched":[43],"with":[44,54,68],"administrative":[45],"data,":[46],"most":[47],"report":[49],"not":[50],"receiving":[51],"the":[52],"assistance,":[53],"no":[55],"detectable":[56],"impacts":[57],"on":[58],"or":[60],"consumption.":[61],"contrast,":[63],"survey":[64],"data":[65],"from":[66],"applicants":[67],"working":[69],"phones":[70],"reveal":[71],"high":[72],"reported":[73],"take-up":[74],"higher":[76],"incomes.":[77],"The":[78],"results":[79],"suggest":[80],"that":[81,90],"while":[82],"flexible,":[83],"has":[86],"potential,":[87],"design":[88],"features":[89],"allow":[91],"flexibility":[93],"could":[94],"hinder":[95],"receipt":[96],"and,":[97],"thus,":[98],"impact.":[99]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-02-07T00:00:00"}
