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The constrained estimates can be efficient relative to the unconstrained ones. The minimized distance function is shown to be asymptotically<jats:italic>\u03c7<\/jats:italic><jats:sup>2<\/jats:sup>-distributed, and can be used as a goodness-of-fit test for the constraints. As the extension is motivated by some social interactions models, which are of interest in their own right, we discuss this approach for the estimation and testing of a social interactions model.<\/jats:p>","DOI":"10.1017\/s0266466609090677","type":"journal-article","created":{"date-parts":[[2009,6,19]],"date-time":"2009-06-19T09:26:16Z","timestamp":1245403576000},"page":"260-299","source":"Crossref","is-referenced-by-count":8,"title":["POOLING ESTIMATES WITH DIFFERENT RATES OF CONVERGENCE: A MINIMUM<i>\u03c7<\/i><sup>2<\/sup>APPROACH WITH EMPHASIS ON A SOCIAL INTERACTIONS MODEL"],"prefix":"10.1017","volume":"26","author":[{"given":"Lung-fei","family":"Lee","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[2009,6,19]]},"reference":[{"key":"S0266466609090677_ref28","volume-title":"Efficient Estimation with A Priori 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