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We derive the approximate bias result of the QMLE in terms of model parameters and also the moments (up to order 4) of the error distribution, and thus a feasible bias-correction procedure is directly applicable. In some special cases, the analytical bias result can be significantly simplified. Our Monte Carlo results demonstrate that the feasible bias-correction procedure works remarkably well.<\/jats:p>","DOI":"10.1017\/s0266466612000229","type":"journal-article","created":{"date-parts":[[2012,7,6]],"date-time":"2012-07-06T11:54:03Z","timestamp":1341575643000},"page":"68-88","source":"Crossref","is-referenced-by-count":24,"title":["FINITE-SAMPLE BIAS OF THE QMLE IN SPATIAL AUTOREGRESSIVE MODELS"],"prefix":"10.1017","volume":"29","author":[{"given":"Yong","family":"Bao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2012,7,6]]},"reference":[{"key":"S0266466612000229_ref20","doi-asserted-by":"crossref","first-page":"1899","DOI":"10.1111\/j.1468-0262.2004.00558.x","article-title":"Asymptotic distributions of quasi-maximum likelihood estimators for spatial autoregressive 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