{"doi":"10.2139/ssrn.2446572","title":"Stochastic Frontier Models for Long Panel Data Sets: Measurement of the Underlying Energy Efficiency for the OECD Countries","abstract":null,"journal":"SSRN Electronic Journal","year":null,"id":20970,"datarank":0.5586917547081516,"base_score":2.302585092994046,"endowment":2.302585092994046,"self_citation_contribution":0.3453877639491069,"citation_network_contribution":0.2133039907590447,"self_endowment_contribution":0.3453877639491069,"citer_contribution":0.2133039907590447,"corpus_percentile":null,"corpus_rank":null,"citation_count":9,"citer_count":8,"citers_with_citation_signal":5,"citers_with_endowment":5,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":136776,"name":"Elisa Tosetti","orcid":null,"position":1,"is_corresponding":false},{"id":136775,"name":"Massimo Filippini","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"base_score":2.302585092994046,"endowment":2.302585092994046,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"24259432","pmcid":null,"openalex_id":"https://openalex.org/W178381925","authors":[],"funders":[],"total_grants":0,"fwci":null,"citation_percentile":null,"influential_citations":1,"citation_trend":[{"year":2014,"count":1},{"year":2015,"count":3},{"year":2016,"count":3},{"year":2023,"count":1},{"year":2026,"count":1}],"oa_status":"green","license":null,"oa_locations":[{"url":"https://doi.org/10.2139/ssrn.2446572","host_type":"repository"},{"url":"https://www.econstor.eu/bitstream/10419/171641/1/wp-14-198.pdf","host_type":"GREEN"},{"url":"https://doi.org/10.2139/ssrn.2446572","host_type":"repository"}],"fields_of_study":["Energy, Environment, Economic Growth","Environmental Impact and Sustainability","Economic Growth and Productivity","Economics","Environmental Science"],"mesh_terms":[],"keywords":["Unobservable","Panel data","Econometrics","Frontier","Economics","Measure (data warehouse)","LTI system theory","Component (thermodynamics)","Mathematics","Computer science","Linear system","Data mining","Geography"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Affordable and clean energy"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-06-06T13:51:32.345984Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}