{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,4]],"date-time":"2026-10-04T17:05:02Z","timestamp":1791133502786,"version":"4.1.0"},"reference-count":29,"publisher":"Cambridge University Press (CUP)","issue":"2","license":[{"start":{"date-parts":[[2009,8,18]],"date-time":"2009-08-18T00:00:00Z","timestamp":1250553600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Econom. Theory"],"published-print":{"date-parts":[[2010,4]]},"abstract":"<jats:p>\n                    This paper establishes asymptotic properties of quasi-maximum likelihood estimators for spatial dynamic panel data with both time and individual fixed effects when the number of individuals\n                    <jats:italic>n<\/jats:italic>\n                    and the number of time periods\n                    <jats:italic>T<\/jats:italic>\n                    can be large. We propose a data transformation approach to eliminate the time effects. When\n                    <jats:italic>n \/ T<\/jats:italic>\n                    \u2192 0, the estimators are\n                    <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" mime-subtype=\"gif\" mimetype=\"image\" xlink:type=\"simple\" xlink:href=\"S0266466609100099_eqi1\">\n                      <jats:alt-text>$\\root \\of {nT}$<\/jats:alt-text>\n                    <\/jats:inline-graphic>\n                    consistent and asymptotically centered normal; when\n                    <jats:italic>n<\/jats:italic>\n                    is asymptotically proportional to\n                    <jats:italic>T<\/jats:italic>\n                    , they are\n                    <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" mime-subtype=\"gif\" mimetype=\"image\" xlink:type=\"simple\" xlink:href=\"S0266466609100099_eqi2\">\n                      <jats:alt-text>$\\root \\of {nT}$<\/jats:alt-text>\n                    <\/jats:inline-graphic>\n                    consistent and asymptotically normal, but the limit distribution is not centered around 0; when\n                    <jats:italic>n \/ T<\/jats:italic>\n                    \u2192 \u221e, the estimators are consistent with rate\n                    <jats:italic>T<\/jats:italic>\n                    and have a degenerate limit distribution. We also propose a bias correction for our estimators. When n\n                    <jats:sup>1\/3<\/jats:sup>\n                    \/\n                    <jats:italic>T<\/jats:italic>\n                    \u2192 0, the correction will asymptotically eliminate the bias and yield a centered confidence interval. The estimates from the transformation approach can be consistent when\n                    <jats:italic>n<\/jats:italic>\n                    is a fixed finite number.\n                  <\/jats:p>","DOI":"10.1017\/s0266466609100099","type":"journal-article","created":{"date-parts":[[2009,8,18]],"date-time":"2009-08-18T04:32:17Z","timestamp":1250569937000},"page":"564-597","source":"Crossref","is-referenced-by-count":258,"title":["A SPATIAL DYNAMIC PANEL DATA MODEL WITH BOTH TIME AND INDIVIDUAL FIXED EFFECTS"],"prefix":"10.1017","volume":"26","author":[{"given":"Lung-fei","family":"Lee","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jihai","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2009,8,18]]},"reference":[{"key":"S0266466609100099_ref26","doi-asserted-by":"publisher","DOI":"10.2307\/1909205"},{"key":"S0266466609100099_ref25","volume-title":"Principles of Econometrics","author":"Theil","year":"1971"},{"key":"S0266466609100099_ref24","doi-asserted-by":"publisher","DOI":"10.2307\/1913267"},{"key":"S0266466609100099_ref21","doi-asserted-by":"publisher","DOI":"10.2307\/1913351"},{"key":"S0266466609100099_ref20","unstructured":"Lin X. & Lee L.F. 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(2007) Near Unit Root in the Spatial Autoregressive Model. 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