{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,22]],"date-time":"2025-09-22T18:10:09Z","timestamp":1758564609448,"version":"3.44.0"},"reference-count":21,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T00:00:00Z","timestamp":1736467200000},"content-version":"vor","delay-in-days":1,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Housing and Commercial Bank Economic Research Fund"},{"DOI":"10.13039\/501100000269","name":"Economic and Social Research Council","doi-asserted-by":"publisher","award":["ES\/T014334\/1"],"award-info":[{"award-number":["ES\/T014334\/1"]}],"id":[{"id":"10.13039\/501100000269","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9,22]]},"abstract":"<jats:title>Summary<\/jats:title>\n               <jats:p>In generalized method of moments (GMM) estimators, moment conditions with additive error terms involve an observed component and a predicted component. If the predicted component is computationally costly to evaluate, it may not be feasible to estimate the model with all the available data. We propose a simple two-sample \u2018large\u2013small\u2019 size estimator that uses the full dataset for the computationally cheap observed component, but a reduced sample size for the predicted component. We derive a practical criterion for when the large-small estimator has a lower variance than standard GMM with the reduced sample size. As an alternative, we show how a previously described asymptotically efficient conditional expectation projection based GMM estimator can also be used to reduce computational cost in our setting. We compare the performance of the estimators in a Monte Carlo study of a panel-data random coefficients logit model, and illustrate the use of our estimator in an empirical application to alcohol demand.<\/jats:p>","DOI":"10.1093\/ectj\/utaf002","type":"journal-article","created":{"date-parts":[[2025,1,9]],"date-time":"2025-01-09T21:12:23Z","timestamp":1736457143000},"page":"406-422","source":"Crossref","is-referenced-by-count":0,"title":["A two-sample size estimator for large datasets"],"prefix":"10.1093","volume":"28","author":[{"given":"Martin","family":"O\u2019Connell","sequence":"first","affiliation":[{"name":"University of Wisconsin-Madison , Department of Economics, Madison, 53706 ,","place":["USA"]},{"name":"Institute for Fiscal Studies , London, WC1E 7AE ,","place":["UK"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Howard","family":"Smith","sequence":"additional","affiliation":[{"name":"University of Oxford , Department of Economics, Oxford, OX1 3UQ 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