{"id":"https://openalex.org/W4414765892","doi":"https://doi.org/10.62986/pjd2013.37.2d","title":"Profiling Poverty with Multivariate Adaptive Regression Splines","display_name":"Profiling Poverty with Multivariate Adaptive Regression Splines","publication_year":2014,"publication_date":"2014-08-19","ids":{"openalex":"https://openalex.org/W4414765892","doi":"https://doi.org/10.62986/pjd2013.37.2d"},"language":"en","primary_location":{"id":"doi:10.62986/pjd2013.37.2d","doi":"https://doi.org/10.62986/pjd2013.37.2d","is_oa":false,"landing_page_url":"https://doi.org/10.62986/pjd2013.37.2d","pdf_url":null,"source":{"id":"https://openalex.org/S2764806892","display_name":"Journal of Philippine development","issn_l":"0115-9143","issn":["0115-9143","2508-0849"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Philippine Journal of Development","raw_type":"journal-article"},"volume":null,"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/A5081368427","display_name":"Liborio S. Cabanilla","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liborio Cabanilla","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109529596","display_name":"Primo Rodriguez","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"-Primo Rodriguez","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5082681940","display_name":"Antonio Jesus A. Quilloy","orcid":"https://orcid.org/0000-0003-4851-2497","observed_orcids":["https://orcid.org/0000-0003-4851-2497"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Antonio Jesus Quilloy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.65275251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10446","display_name":"Income, Poverty, and Inequality","score":0.8759999871253967,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T10446","display_name":"Income, Poverty, and Inequality","score":0.8759999871253967,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T11556","display_name":"Poverty, Education, and Child Welfare","score":0.10830000042915344,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"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/T14509","display_name":"demographic modeling and climate adaptation","score":0.001500000013038516,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/household-poverty","display_name":"household poverty","score":0.7120000123977661},{"id":"https://openalex.org/keywords/poverty-identification","display_name":"poverty identification","score":0.7360000014305115},{"id":"https://openalex.org/keywords/multivariate-adaptive-regression-splines","display_name":"multivariate adaptive regression splines","score":0.9229999780654907},{"id":"https://openalex.org/keywords/proxy-means-test","display_name":"proxy means test","score":0.9449999928474426},{"id":"https://openalex.org/keywords/poverty-alleviation-programs","display_name":"anti-poverty policy","score":0.8709999918937683},{"id":"https://openalex.org/keywords/beneficiary-selection","display_name":"beneficiary selection","score":0.7820000052452087},{"id":"https://openalex.org/keywords/family-income-and-expenditure-survey","display_name":"Family Income and Expenditure Survey","score":0.871999979019165},{"id":"https://openalex.org/keywords/community-based-monitoring","display_name":"community-based monitoring","score":0.6230000257492065},{"id":"https://openalex.org/keywords/philippines","display_name":"Philippines","score":0.5410000085830688}],"concepts":[{"id":"https://openalex.org/C44882253","wikidata":"https://www.wikidata.org/wiki/Q3455882","display_name":"Multivariate adaptive regression splines","level":4,"score":0.9047999978065491},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.6317999958992004},{"id":"https://openalex.org/C189326681","wikidata":"https://www.wikidata.org/wiki/Q10294","display_name":"Poverty","level":2,"score":0.6315000057220459},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6197999715805054},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6158000230789185},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4932999908924103},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.48100000619888306},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4738999903202057},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.38109999895095825},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.37059998512268066},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.3449999988079071},{"id":"https://openalex.org/C2780892066","wikidata":"https://www.wikidata.org/wiki/Q1591167","display_name":"Household income","level":2,"score":0.34450000524520874},{"id":"https://openalex.org/C90157343","wikidata":"https://www.wikidata.org/wiki/Q5188196","display_name":"Cross-sectional regression","level":4,"score":0.3337000012397766},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.32850000262260437},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3118000030517578},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3052999973297119},{"id":"https://openalex.org/C87227347","wikidata":"https://www.wikidata.org/wiki/Q7100713","display_name":"Ordered logit","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2890999913215637},{"id":"https://openalex.org/C83260615","wikidata":"https://www.wikidata.org/wiki/Q6773121","display_name":"Mars Exploration Program","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C198477413","wikidata":"https://www.wikidata.org/wiki/Q7647069","display_name":"Survey data collection","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C2775950104","wikidata":"https://www.wikidata.org/wiki/Q6804232","display_name":"Measuring poverty","level":3,"score":0.2775999903678894},{"id":"https://openalex.org/C60316415","wikidata":"https://www.wikidata.org/wiki/Q6664520","display_name":"Local regression","level":4,"score":0.26930001378059387},{"id":"https://openalex.org/C117568660","wikidata":"https://www.wikidata.org/wiki/Q1650843","display_name":"Multinomial logistic regression","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C99656134","wikidata":"https://www.wikidata.org/wiki/Q2912993","display_name":"Ordinary least squares","level":2,"score":0.2524999976158142},{"id":"https://openalex.org/C81461097","wikidata":"https://www.wikidata.org/wiki/Q1341800","display_name":"Engel curve","level":3,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.62986/pjd2013.37.2d","doi":"https://doi.org/10.62986/pjd2013.37.2d","is_oa":false,"landing_page_url":"https://doi.org/10.62986/pjd2013.37.2d","pdf_url":null,"source":{"id":"https://openalex.org/S2764806892","display_name":"Journal of Philippine development","issn_l":"0115-9143","issn":["0115-9143","2508-0849"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Philippine Journal of Development","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":1.0,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"},{"score":0.7390999794006348,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"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/W2797723143","https://openalex.org/W3178406176","https://openalex.org/W43491303","https://openalex.org/W7222867163","https://openalex.org/W2998980401","https://openalex.org/W4375822025","https://openalex.org/W2041038200","https://openalex.org/W3169355878","https://openalex.org/W2566530374","https://openalex.org/W3002538647"],"abstract_inverted_index":{"Using":[0],"data":[1],"from":[2],"the":[3,31,81],"2003":[4],"Family":[5],"Income":[6],"and":[7,10,43,51,72],"Expenditure":[8],"Survey":[9],"2005":[11],"community-based":[12],"monitoring":[13],"system":[14],"for":[15,68],"a":[16,57,62,69,76],"city,":[17],"Multivariate":[18],"Adaptive":[19],"Regression":[20],"Splines":[21],"(MARS)":[22],"is":[23],"used":[24],"in":[25,30,55,80],"identifying":[26,56],"household":[27,48],"poverty":[28,49,87],"correlates":[29,50],"Philippines.":[32],"Models":[33],"produced":[34],"by":[35],"MARS":[36,60],"are":[37],"more":[38,70],"parsimonious,":[39],"yet":[40],"contain":[41],"theoretically":[42],"empirically":[44],"sound":[45],"set":[46],"of":[47,75,83,86],"have":[52],"high":[53],"accuracy":[54],"poor":[58],"household.":[59],"provides":[61],"better":[63],"alternative":[64],"to":[65],"logistic":[66],"regression":[67],"efficient":[71],"effective":[73],"implementation":[74],"proxy":[77],"means":[78],"test":[79],"identification":[82],"potential":[84],"beneficiaries":[85],"alleviation":[88],"programs.":[89]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}