{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T10:52:17Z","timestamp":1791888737420,"version":"4.3.4"},"reference-count":0,"publisher":"Cambridge University Press (CUP)","issue":"2","license":[{"start":{"date-parts":[[2002,5,16]],"date-time":"2002-05-16T00:00:00Z","timestamp":1021507200000},"content-version":"unspecified","delay-in-days":45,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Econom. Theory"],"published-print":{"date-parts":[[2002,4]]},"abstract":"<jats:p>Least squares estimation has casually been dismissed as an \ninconsistent estimation method for mixed regressive, spatial \nautoregressive models with or without spatial correlated \ndisturbances. Although this statement is correct for a wide \nclass of models, we show that, in economic spatial environments \nwhere each unit can be influenced aggregately by a significant \nportion of units in the population, least squares estimators \ncan be consistent. Indeed, they can even be asymptotically \nefficient relative to some other estimators. Their computations \nare easier than alternative instrumental variables and maximum \nlikelihood approaches.<\/jats:p>","DOI":"10.1017\/s0266466602182028","type":"journal-article","created":{"date-parts":[[2002,11,14]],"date-time":"2002-11-14T22:01:57Z","timestamp":1037311317000},"page":"252-277","source":"Crossref","is-referenced-by-count":154,"title":["CONSISTENCY AND EFFICIENCY OF LEAST SQUARES ESTIMATION FOR \nMIXED REGRESSIVE, SPATIAL AUTOREGRESSIVE MODELS"],"prefix":"10.1017","volume":"18","author":[{"given":"Lung-Fei","family":"Lee","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2002,5,16]]},"container-title":["Econometric Theory"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S0266466602182028","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,4,7]],"date-time":"2019-04-07T20:33:04Z","timestamp":1554669184000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S0266466602182028\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002,4]]},"references-count":0,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2002,4]]}},"alternative-id":["S0266466602182028"],"URL":"https:\/\/doi.org\/10.1017\/s0266466602182028","relation":{},"ISSN":["0266-4666","1469-4360"],"issn-type":[{"value":"0266-4666","type":"print"},{"value":"1469-4360","type":"electronic"}],"subject":[],"published":{"date-parts":[[2002,4]]}}}