{"id":"https://openalex.org/W1498624678","doi":"https://doi.org/10.1007/s10260-013-0243-6","title":"Using large data sets to forecast sectoral employment","display_name":"Using large data sets to forecast sectoral employment","publication_year":2013,"publication_date":"2013-09-30","ids":{"openalex":"https://openalex.org/W1498624678","doi":"https://doi.org/10.1007/s10260-013-0243-6","mag":"1498624678"},"language":"en","primary_location":{"id":"doi:10.1007/s10260-013-0243-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10260-013-0243-6","pdf_url":null,"source":{"id":"https://openalex.org/S155615518","display_name":"Statistical Methods & Applications","issn_l":"1613-981X","issn":["1613-981X","1618-2510"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistical Methods &amp; Applications","raw_type":"journal-article"},"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/A5015669404","display_name":"Rangan Gupta","orcid":null},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Rangan Gupta","raw_affiliation_strings":["Department of Economics, University of Pretoria, Pretoria, 0002, South Africa","Department of Economics, University Of Pretoria, Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"Department of Economics, University of Pretoria, Pretoria, 0002, South Africa","institution_ids":["https://openalex.org/I69552723"]},{"raw_affiliation_string":"Department of Economics, University Of Pretoria, Pretoria, South Africa","institution_ids":["https://openalex.org/I69552723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020932846","display_name":"Alain Kabundi","orcid":"https://orcid.org/0000-0001-9094-6876"},"institutions":[{"id":"https://openalex.org/I24027795","display_name":"University of Johannesburg","ror":"https://ror.org/04z6c2n17","country_code":"ZA","type":"education","lineage":["https://openalex.org/I24027795"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Alain Kabundi","raw_affiliation_strings":["Department of Economics and Econometrics, University of Johannesburg, Johannesburg, 2006, South Africa","Department of Economics & Econometrics, University of Johannesburg, Johannesburg, South Africa"],"affiliations":[{"raw_affiliation_string":"Department of Economics and Econometrics, University of Johannesburg, Johannesburg, 2006, South Africa","institution_ids":["https://openalex.org/I24027795"]},{"raw_affiliation_string":"Department of Economics & Econometrics, University of Johannesburg, Johannesburg, South Africa","institution_ids":["https://openalex.org/I24027795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079817626","display_name":"Stephen M. Miller","orcid":"https://orcid.org/0000-0002-6754-0605"},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen M. Miller","raw_affiliation_strings":["Department of Economics, University of Nevada-Las Vegas, Las Vegas, NV, 89154-6005, USA","Department of Economics, University of Nevada-Las Vegas, Las Vegas, USA"],"affiliations":[{"raw_affiliation_string":"Department of Economics, University of Nevada-Las Vegas, Las Vegas, NV, 89154-6005, USA","institution_ids":["https://openalex.org/I133999245"]},{"raw_affiliation_string":"Department of Economics, University of Nevada-Las Vegas, Las Vegas, USA","institution_ids":["https://openalex.org/I133999245"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016568874","display_name":"Josine Uwilingiye","orcid":"https://orcid.org/0000-0002-6419-4911"},"institutions":[{"id":"https://openalex.org/I24027795","display_name":"University of Johannesburg","ror":"https://ror.org/04z6c2n17","country_code":"ZA","type":"education","lineage":["https://openalex.org/I24027795"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Josine Uwilingiye","raw_affiliation_strings":["Department of Economics and Econometrics, University of Johannesburg, Johannesburg, 2006, South Africa","Department of Economics & Econometrics, University of Johannesburg, Johannesburg, South Africa"],"affiliations":[{"raw_affiliation_string":"Department of Economics and Econometrics, University of Johannesburg, Johannesburg, 2006, South Africa","institution_ids":["https://openalex.org/I24027795"]},{"raw_affiliation_string":"Department of Economics & Econometrics, University of Johannesburg, Johannesburg, South Africa","institution_ids":["https://openalex.org/I24027795"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015669404"],"corresponding_institution_ids":["https://openalex.org/I69552723"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":1.499,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85875161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"23","issue":"2","first_page":"229","last_page":"264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10007","display_name":"Monetary Policy and Economic Impact","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2000","display_name":"General Economics, Econometrics and Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10007","display_name":"Monetary Policy and Economic Impact","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2000","display_name":"General Economics, Econometrics and Finance"},"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/T10393","display_name":"Economic Growth and Productivity","score":0.9815999865531921,"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/T12368","display_name":"Grey System Theory Applications","score":0.9775000214576721,"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/autoregressive-model","display_name":"Autoregressive model","score":0.7944762706756592},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6725448966026306},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.6519237756729126},{"id":"https://openalex.org/keywords/bayesian-vector-autoregression","display_name":"Bayesian vector autoregression","score":0.5758587121963501},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5197808146476746},{"id":"https://openalex.org/keywords/star-model","display_name":"STAR model","score":0.5078805088996887},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4660407602787018},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4553128480911255},{"id":"https://openalex.org/keywords/shrinkage-estimator","display_name":"Shrinkage estimator","score":0.4479479491710663},{"id":"https://openalex.org/keywords/vector-autoregression","display_name":"Vector autoregression","score":0.44643744826316833},{"id":"https://openalex.org/keywords/factor-analysis","display_name":"Factor analysis","score":0.4364160895347595},{"id":"https://openalex.org/keywords/dynamic-factor","display_name":"Dynamic factor","score":0.42389583587646484},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.42108821868896484},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4078195095062256},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3799758553504944},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.32581669092178345},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.3008681535720825},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24462810158729553},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20149973034858704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18867641687393188}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7944762706756592},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6725448966026306},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.6519237756729126},{"id":"https://openalex.org/C137703641","wikidata":"https://www.wikidata.org/wiki/Q4874480","display_name":"Bayesian vector autoregression","level":3,"score":0.5758587121963501},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5197808146476746},{"id":"https://openalex.org/C194657046","wikidata":"https://www.wikidata.org/wiki/Q7394685","display_name":"STAR model","level":4,"score":0.5078805088996887},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4660407602787018},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4553128480911255},{"id":"https://openalex.org/C102592046","wikidata":"https://www.wikidata.org/wiki/Q7504144","display_name":"Shrinkage estimator","level":5,"score":0.4479479491710663},{"id":"https://openalex.org/C133029050","wikidata":"https://www.wikidata.org/wiki/Q385593","display_name":"Vector autoregression","level":2,"score":0.44643744826316833},{"id":"https://openalex.org/C10879293","wikidata":"https://www.wikidata.org/wiki/Q726474","display_name":"Factor analysis","level":2,"score":0.4364160895347595},{"id":"https://openalex.org/C155702961","wikidata":"https://www.wikidata.org/wiki/Q5318975","display_name":"Dynamic factor","level":2,"score":0.42389583587646484},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.42108821868896484},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4078195095062256},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3799758553504944},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.32581669092178345},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.3008681535720825},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24462810158729553},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20149973034858704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18867641687393188},{"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/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.0},{"id":"https://openalex.org/C191393472","wikidata":"https://www.wikidata.org/wiki/Q15222032","display_name":"Bias of an estimator","level":4,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10260-013-0243-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10260-013-0243-6","pdf_url":null,"source":{"id":"https://openalex.org/S155615518","display_name":"Statistical Methods & Applications","issn_l":"1613-981X","issn":["1613-981X","1618-2510"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistical Methods &amp; Applications","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:stmapp:v:23:y:2014:i:2:p:229-264","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1007/s10260-013-0243-6","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,"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":"article"},{"id":"pmh:oai:repository.up.ac.za:2263/40932","is_oa":false,"landing_page_url":"http://hdl.handle.net/2263/40932","pdf_url":null,"source":{"id":"https://openalex.org/S4306401870","display_name":"UpSpace Institutional Repository (University of Pretoria)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I69552723","host_organization_name":"University of Pretoria","host_organization_lineage":["https://openalex.org/I69552723"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Postprint Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1582268493","https://openalex.org/W1585916421","https://openalex.org/W1606288295","https://openalex.org/W1968720267","https://openalex.org/W1989672512","https://openalex.org/W2001737702","https://openalex.org/W2006469568","https://openalex.org/W2006497303","https://openalex.org/W2007368539","https://openalex.org/W2013360303","https://openalex.org/W2019459021","https://openalex.org/W2034707435","https://openalex.org/W2038601479","https://openalex.org/W2043057392","https://openalex.org/W2046105906","https://openalex.org/W2053433124","https://openalex.org/W2056186894","https://openalex.org/W2071062197","https://openalex.org/W2078382796","https://openalex.org/W2078565364","https://openalex.org/W2079563517","https://openalex.org/W2092270509","https://openalex.org/W2095485588","https://openalex.org/W2096159536","https://openalex.org/W2103401928","https://openalex.org/W2108122190","https://openalex.org/W2108731026","https://openalex.org/W2113173022","https://openalex.org/W2118088123","https://openalex.org/W2126913617","https://openalex.org/W2133073622","https://openalex.org/W2140565338","https://openalex.org/W2152481464","https://openalex.org/W2159706540","https://openalex.org/W2160006460","https://openalex.org/W2203695621","https://openalex.org/W2614854554","https://openalex.org/W2895270050","https://openalex.org/W3021318637","https://openalex.org/W3023906401","https://openalex.org/W3121328226","https://openalex.org/W3122063663","https://openalex.org/W3122205792","https://openalex.org/W3123823245","https://openalex.org/W3124136744","https://openalex.org/W3125070724","https://openalex.org/W3125135249","https://openalex.org/W3125250237","https://openalex.org/W3125665000","https://openalex.org/W3199465508","https://openalex.org/W4230841866","https://openalex.org/W4301511718"],"related_works":["https://openalex.org/W3123219359","https://openalex.org/W2142896437","https://openalex.org/W3125209858","https://openalex.org/W2152481464","https://openalex.org/W3146396974","https://openalex.org/W2589120728","https://openalex.org/W2183346404","https://openalex.org/W2589952369","https://openalex.org/W3125309971","https://openalex.org/W2247752362"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
