{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T01:20:40Z","timestamp":1777857640929,"version":"3.51.4"},"reference-count":0,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2016,5,28]],"date-time":"2016-05-28T00:00:00Z","timestamp":1464393600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/3.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Misspecification effects (\n                    <jats:italic>meffs<\/jats:italic>\n                    ) measure the effect on the sampling variance of an estimator of incorrect specification of both the sampling scheme and the model considered. We assess the effect of various features of complex sampling schemes on the inferences drawn from models for panel data using\n                    <jats:italic>meffs<\/jats:italic>\n                    . Many longitudinal social survey designs employ multistage sampling, leading to some clustering, which tends to lead to\n                    <jats:italic>meffs<\/jats:italic>\n                    greater than unity. An empirical study using data from the British Household Panel Survey is conducted, and a simulation study is performed. Our results suggest that clustering impacts are stronger for longitudinal studies than for cross-sectional studies, and that\n                    <jats:italic>meffs<\/jats:italic>\n                    for the regression coefficients increase with the number of waves analysed. Hence, estimated standard errors in the analysis of panel data can be misleading if any clustering is ignored.\n                  <\/jats:p>","DOI":"10.1515\/jos-2016-0025","type":"journal-article","created":{"date-parts":[[2016,6,9]],"date-time":"2016-06-09T06:16:20Z","timestamp":1465452980000},"page":"487-505","source":"Crossref","is-referenced-by-count":0,"title":["Misspecification Effects in the Analysis of Panel Data"],"prefix":"10.1177","volume":"32","author":[{"given":"Marcel de Toledo","family":"Vieira","sequence":"first","affiliation":[{"name":"Departamento de Estat\u00edstica e Programa de P\u00f3s-Gradua\u00e7\u00e3o em Economia, Universidade Federal de Juiz de Fora (UFJF), Rua Jos\u00e9 Louren\u00e7o Kelmer, s\/n, Campus Universit\u00e1rio, Bairro S\u00e3o Pedro, 36036-900, Juiz de Fora, MG, Brazil."}]},{"given":"Peter W.F.","family":"Smith","sequence":"additional","affiliation":[{"name":"Southampton Statistical Sciences Research Institute (S3RI), University of Southampton, Southampton, SO17 1BJ, United Kingdom."}]},{"given":"Maria de F\u00e1tima","family":"Salgueiro","sequence":"additional","affiliation":[{"name":"Instituto Universit\u00e1rio de Lisboa (ISCTE-IUL), Business Research Unit, Av. For\u00e7as Armadas, 1649-026, Lisbon, Portugal."}]}],"member":"179","published-online":{"date-parts":[[2016,5,28]]},"container-title":["Journal of Official Statistics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/content.sciendo.com\/view\/journals\/jos\/32\/2\/article-p487.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.sciendo.com\/pdf\/10.1515\/jos-2016-0025","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T23:59:39Z","timestamp":1777507179000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.1515\/jos-2016-0025"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,5,28]]},"references-count":0,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2016,5,28]]},"published-print":{"date-parts":[[2016,6,1]]}},"alternative-id":["10.1515\/jos-2016-0025"],"URL":"https:\/\/doi.org\/10.1515\/jos-2016-0025","relation":{},"ISSN":["2001-7367"],"issn-type":[{"value":"2001-7367","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,5,28]]}}}