{"id":"https://openalex.org/W1490736976","doi":null,"title":"Can Social Programs be Reliably Evaluated with NonExperimental Methods? Evidence on the Performance of Regression Discontinuity Design using PROGRESA data","display_name":"Can Social Programs be Reliably Evaluated with NonExperimental Methods? Evidence on the Performance of Regression Discontinuity Design using PROGRESA data","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W1490736976","mag":"1490736976"},"language":"en","primary_location":{"id":"pmh:oai:RePEc:ecj:ac2003:32","doi":null,"is_oa":false,"landing_page_url":"http://repec.org/res2003/Buddelmeyer.pdf","pdf_url":"http://repec.org/res2003/Buddelmeyer.pdf","source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"preprint"},"volume":null,"type":"preprint","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/A5012786991","display_name":"Hielke Buddelmeyer","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I197518295","display_name":"IZA - Institute of Labor Economics","ror":"https://ror.org/029s44460","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I197518295"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hielke Buddelmeyer","raw_affiliation_strings":["IZA-Institute of Labor Economics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IZA-Institute of Labor Economics","institution_ids":["https://openalex.org/I197518295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000515508","display_name":"Emmanuel Skoufias","orcid":"https://orcid.org/0000-0002-3216-6027","observed_orcids":["https://orcid.org/0000-0002-3216-6027"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Emmanuel Skoufias","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-3216-6027","affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.5952000021934509,"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":0.5952000021934509,"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/T11556","display_name":"Poverty, Education, and Child Welfare","score":0.38499999046325684,"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/T12010","display_name":"Evaluation and Performance Assessment","score":0.00839999970048666,"subfield":{"id":"https://openalex.org/subfields/3321","display_name":"Public Administration"},"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/progresa","display_name":"PROGRESA","score":0.9679999947547913},{"id":"https://openalex.org/keywords/conditional-cash-transfers","display_name":"conditional cash transfers","score":0.8809999823570251},{"id":"https://openalex.org/keywords/regression-discontinuity-design","display_name":"regression discontinuity design","score":0.8889999985694885},{"id":"https://openalex.org/keywords/social-program-evaluation","display_name":"social program evaluation","score":0.7379999756813049},{"id":"https://openalex.org/keywords/eligibility-rules","display_name":"eligibility rules","score":0.6549999713897705},{"id":"https://openalex.org/keywords/regional-variation","display_name":"regional variation","score":0.6539999842643738},{"id":"https://openalex.org/keywords/mexico","display_name":"Mexico","score":0.6570000052452087}],"concepts":[{"id":"https://openalex.org/C66912227","wikidata":"https://www.wikidata.org/wiki/Q2138712","display_name":"Regression discontinuity design","level":2,"score":0.9813516139984131},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7500495910644531},{"id":"https://openalex.org/C2777042112","wikidata":"https://www.wikidata.org/wiki/Q5281658","display_name":"Discontinuity (linguistics)","level":2,"score":0.7047793865203857},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5668846368789673},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5471011400222778},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5437853932380676},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.538724422454834},{"id":"https://openalex.org/C155108698","wikidata":"https://www.wikidata.org/wiki/Q1231081","display_name":"Randomized experiment","level":2,"score":0.5366470217704773},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4461890459060669},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3655887246131897},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19978052377700806},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17971846461296082},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:RePEc:ecj:ac2003:32","doi":null,"is_oa":false,"landing_page_url":"http://repec.org/res2003/Buddelmeyer.pdf","pdf_url":"http://repec.org/res2003/Buddelmeyer.pdf","source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"preprint"},{"id":"mag:1490736976","doi":null,"is_oa":false,"landing_page_url":"http://repec.org/res2003/Buddelmeyer.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Royal Economic Society Annual Conference 2003","raw_type":null},{"id":"mag:3147081541","doi":null,"is_oa":false,"landing_page_url":"https://econpapers.repec.org/RePEc:ecj:ac2003:32","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"RePEc: Research Papers in Economics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7578999996185303,"display_name":"Reduced inequalities"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1537708094","https://openalex.org/W1977672421","https://openalex.org/W2057032881","https://openalex.org/W2059877399","https://openalex.org/W2078720208","https://openalex.org/W2100930256","https://openalex.org/W2109525819","https://openalex.org/W2114242548","https://openalex.org/W2115928583","https://openalex.org/W2141019942","https://openalex.org/W2292520603"],"related_works":["https://openalex.org/W1587262605","https://openalex.org/W6996203597","https://openalex.org/W2123937619","https://openalex.org/W2044553587","https://openalex.org/W6997207712","https://openalex.org/W1549641310","https://openalex.org/W2172182630","https://openalex.org/W2271870515","https://openalex.org/W4224862901","https://openalex.org/W7113646676"],"abstract_inverted_index":{"In":[0],"1997":[1],"a":[2,12,15,20],"social":[3],"program":[4,79],"called":[5],"PROGRESA":[6],"was":[7,90],"introduced":[8,91],"in":[9,26,36,86],"Mexico":[10],"using":[11],"design":[13,35],"for":[14],"randomized":[16],"experiment.":[17],"We":[18],"exploit":[19],"build":[21],"in,":[22],"but":[23],"neglected,":[24],"discontinuity":[25],"the":[27,32,53,63,71,75,78,87,97],"eligibility":[28],"rule":[29],"and":[30,92],"use":[31,59],"quasi-experimental":[33],"Regression-Discontinuity":[34],"order":[37],"to":[38,58,69,73,96],"estimate":[39],"marginal":[40],"average":[41],"treatment":[42],"effects.":[43],"Our":[44],"findings":[45],"show":[46],"substantial":[47],"regional":[48],"variation.":[49],"Moreover,":[50],"given":[51],"that":[52],"RDD":[54],"approach":[55],"allows":[56],"us":[57],"only":[60],"data":[61],"from":[62],"treated":[64],"sample,":[65],"we":[66],"are":[67],"able":[68],"investigate":[70],"extend":[72],"which":[74],"introduction":[76],"of":[77],"had":[80],"an":[81],"effect":[82],"on":[83],"ineligible":[84],"children":[85],"localities":[88],"it":[89],"compare":[93],"its":[94],"performance":[95],"experimental":[98],"outcomes.":[99]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-06T10:28:23.643775","created_date":"2016-06-24T00:00:00"}