{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T15:15:30Z","timestamp":1747149330104,"version":"3.40.5"},"reference-count":34,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T00:00:00Z","timestamp":1698019200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72303074"],"award-info":[{"award-number":["72303074"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Applied Econometrics"],"published-print":{"date-parts":[[2024,1]]},"abstract":"<jats:title>Summary<\/jats:title><jats:p>Stochastic frontier models for cross\u2010sectional data typically assume that the one\u2010sided distribution of firm\u2010level inefficiency is continuous. However, it may be reasonable to hypothesize that inefficiency is continuous except for a discrete mass at zero capturing fully efficient firms (zero\u2010inefficiency). We propose a sieve\u2010type density estimator for such a mixture distribution in a nonparametric stochastic frontier setting under a unimodality\u2010at\u2010zero assumption. Consistency, rates of convergence and asymptotic normality of the estimators are established, as well as a test of the zero\u2010inefficiency hypothesis. Simulations and two applications are provided to demonstrate the practicality of the method.<\/jats:p>","DOI":"10.1002\/jae.3008","type":"journal-article","created":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T06:40:19Z","timestamp":1698129619000},"page":"41-65","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Penalized sieve estimation of zero\u2010inefficiency stochastic frontiers"],"prefix":"10.1002","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8212-4503","authenticated-orcid":false,"given":"Jun","family":"Cai","sequence":"first","affiliation":[{"name":"School of Management Huazhong University of Science and Technology Wuhan China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1325-5320","authenticated-orcid":false,"given":"William C.","family":"Horrace","sequence":"additional","affiliation":[{"name":"Department of Economics Syracuse University Syracuse New York USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6123-0107","authenticated-orcid":false,"given":"Christopher F.","family":"Parmeter","sequence":"additional","affiliation":[{"name":"Department of Economics University of Miami Coral Gables Florida USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2023,10,23]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/0304-4076(77)90052-5"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-8008-3_3"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/1468-0262.00210"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11123-021-00612-1"},{"key":"e_1_2_10_6_1","unstructured":"Cai J. &Van K.(2022).Mixed frontier estimation in the presence of measurement errors with unknown variance. 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