{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T02:30:10Z","timestamp":1747189810633,"version":"3.40.5"},"reference-count":20,"publisher":"World Scientific Pub Co Pte Ltd","issue":"Supp02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Unc. Fuzz. Knowl. Based Syst."],"published-print":{"date-parts":[[2023,12]]},"abstract":"<jats:p> Several stochastic frontier production analysis problems are not linear regression problems; two error components (inefficiency and noise) may not have symmetric dependence. In nonlinear problems, the data are divided into two or more regimes according to turning points or change points; the relationships between the output and all the inputs are allowed to differ between regimes. In the problem of two-error dependence, the inefficiency component generally plays a more dominant role than the noise component, thereby the output of each firm is mainly influenced by the inefficiency; in such cases, the symmetric dependence is not suitable. It is, therefore, desirable to come up with a new nonlinear asymmetric copula-based stochastic frontier model (SFM). Two nonlinear structures, namely kink and threshold and skew-normal copula, are suggested to SFM to deal with these problems. The Monte Carlo simulations and analysis of a real data set are employed to evaluate the accuracy and performance of proposed models. The results show that the proposed models show a higher performance when compared with the conventional linear SFM with symmetric two-error dependence. <\/jats:p>","DOI":"10.1142\/s0218488523400172","type":"journal-article","created":{"date-parts":[[2024,2,6]],"date-time":"2024-02-06T07:38:56Z","timestamp":1707205136000},"page":"273-287","source":"Crossref","is-referenced-by-count":1,"title":["Nonlinear Effects in the Asymmetric Copula-Based Stochastic Frontier Model"],"prefix":"10.1142","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0787-1437","authenticated-orcid":false,"given":"Woraphon","family":"Yamaka","sequence":"first","affiliation":[{"name":"Center of Excellence in Econometrics, Faculty of Economics, Chiang Mai University, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paravee","family":"Maneejuk","sequence":"additional","affiliation":[{"name":"Center of Excellence in Econometrics, Faculty of Economics, Chiang Mai University, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Namchok","family":"Chimprang","sequence":"additional","affiliation":[{"name":"Center of Excellence in Econometrics, Faculty of Economics, Chiang Mai University, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2024,1,31]]},"reference":[{"key":"S0218488523400172BIB001","doi-asserted-by":"publisher","DOI":"10.1016\/0304-4076(77)90052-5"},{"key":"S0218488523400172BIB002","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/83.4.715"},{"key":"S0218488523400172BIB003","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8489.1977.tb00204.x"},{"key":"S0218488523400172BIB004","doi-asserted-by":"publisher","DOI":"10.1007\/BF01205442"},{"key":"S0218488523400172BIB005","doi-asserted-by":"publisher","DOI":"10.1007\/s11123-017-0492-8"},{"key":"S0218488523400172BIB006","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-017-1863-x"},{"key":"S0218488523400172BIB007","doi-asserted-by":"publisher","DOI":"10.1016\/0304-4076(90)90052-U"},{"key":"S0218488523400172BIB008","doi-asserted-by":"publisher","DOI":"10.2307\/2233557"},{"key":"S0218488523400172BIB009","doi-asserted-by":"publisher","DOI":"10.1080\/07350015.2015.1073595"},{"key":"S0218488523400172BIB010","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1099-1255(199611)11:6<649::AID-JAE416>3.0.CO;2-4"},{"key":"S0218488523400172BIB012","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-3450-3_9-1"},{"key":"S0218488523400172BIB013","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-50742-2_33"},{"key":"S0218488523400172BIB014","doi-asserted-by":"publisher","DOI":"10.2307\/2525757"},{"issue":"6","key":"S0218488523400172BIB015","first-page":"449","volume":"9","author":"Sklar A.","year":"1973","journal-title":"Kybernetika"},{"key":"S0218488523400172BIB016","doi-asserted-by":"publisher","DOI":"10.1111\/j.1368-423X.2007.00228.x"},{"key":"S0218488523400172BIB017","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2015.04.001"},{"key":"S0218488523400172BIB018","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2020.10.011"},{"key":"S0218488523400172BIB019","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2017.10.016"},{"key":"S0218488523400172BIB020","doi-asserted-by":"publisher","DOI":"10.1016\/j.econmod.2010.01.003"},{"key":"S0218488523400172BIB021","doi-asserted-by":"publisher","DOI":"10.1016\/j.econlet.2017.05.033"}],"container-title":["International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218488523400172","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T04:44:30Z","timestamp":1707799470000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/10.1142\/S0218488523400172"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12]]},"references-count":20,"journal-issue":{"issue":"Supp02","published-print":{"date-parts":[[2023,12]]}},"alternative-id":["10.1142\/S0218488523400172"],"URL":"https:\/\/doi.org\/10.1142\/s0218488523400172","relation":{},"ISSN":["0218-4885","1793-6411"],"issn-type":[{"type":"print","value":"0218-4885"},{"type":"electronic","value":"1793-6411"}],"subject":[],"published":{"date-parts":[[2023,12]]}}}