{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T15:38:22Z","timestamp":1770478702447,"version":"3.49.0"},"reference-count":26,"publisher":"Cambridge University Press (CUP)","issue":"1","license":[{"start":{"date-parts":[[2009,2,11]],"date-time":"2009-02-11T00:00:00Z","timestamp":1234310400000},"content-version":"unspecified","delay-in-days":4730,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Econom. Theory"],"published-print":{"date-parts":[[1996,3]]},"abstract":"<jats:p>This paper considers maximum likelihood estimation for the moving average parameter \u03b8 in an MA(1) model when \u03b8 is equal to or close to 1. A derivation of the limit distribution of the estimate \u03b8<jats:sub>LM<\/jats:sub>, defined as the largest of the local maximizers of the likelihood, is given here for the first time. The theory presented covers, in a unified way, cases where the true parameter is strictly inside the unit circle as well as the noninvertible case where it is on the unit circle. The asymptotic distribution of the maximum likelihood estimator sub<jats:sub>MLE<\/jats:sub> is also described and shown to differ, but only slightly, from that of \u03b8<jats:sub>LM<\/jats:sub>. Of practical significance is the fact that the asymptotic distribution for either estimate is surprisingly accurate even for small sample sizes and for values of the moving average parameter considerably far from the unit circle.<\/jats:p>","DOI":"10.1017\/s0266466600006423","type":"journal-article","created":{"date-parts":[[2009,3,10]],"date-time":"2009-03-10T15:39:37Z","timestamp":1236699577000},"page":"1-29","source":"Crossref","is-referenced-by-count":48,"title":["Maximum Likelihood Estimation for MA(1) Processes with a Root on or near the Unit Circle"],"prefix":"10.1017","volume":"12","author":[{"given":"Richard A.","family":"Davis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"William T.M.","family":"Dunsmuir","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[2009,2,11]]},"reference":[{"key":"S0266466600006423_ref001","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9892.1986.tb00492.x"},{"key":"S0266466600006423_ref018","doi-asserted-by":"publisher","DOI":"10.1017\/S0266466600004394"},{"key":"S0266466600006423_ref017","doi-asserted-by":"publisher","DOI":"10.1016\/0304-4076(77)90015-X"},{"key":"S0266466600006423_ref026","doi-asserted-by":"publisher","DOI":"10.1017\/S026646660001255X"},{"key":"S0266466600006423_ref021","volume-title":"Real and Complex Analysis","author":"Rudin","year":"1974"},{"key":"S0266466600006423_ref004","volume-title":"Time Series: Data Analysis and Theory","author":"Brillinger","year":"1981"},{"key":"S0266466600006423_ref002","volume-title":"Convergence of Probability Measures","author":"Billingsley","year":"1968"},{"key":"S0266466600006423_ref015","unstructured":"Kang K.M. 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