{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T23:04:18Z","timestamp":1769209458599,"version":"3.49.0"},"reference-count":8,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2006,11,7]],"date-time":"2006-11-07T00:00:00Z","timestamp":1162857600000},"content-version":"vor","delay-in-days":5424,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J of Applied Econometrics"],"published-print":{"date-parts":[[1992,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>In this paper we offer a method for deciding how to aggregate a set of elementary industries. The method is then applied to the problem of estimating a wage equation that allows for industry\u2010specific effects. Our method explicitly formalizes the trade\u2010off between goodness\u2010of\u2010fit and parsimony implicit in an aggregation problem. By varying the parameter of the assumed loss function, one obtains a whole sequence of aggregation levels. Further, the resulting sequence is consistent; that is, groupings formed at one level of aggregation will never be undone when one aggregates further.<\/jats:p>","DOI":"10.1002\/jae.3950070105","type":"journal-article","created":{"date-parts":[[2007,7,12]],"date-time":"2007-07-12T16:50:36Z","timestamp":1184259036000},"page":"31-51","source":"Crossref","is-referenced-by-count":10,"title":["Classification and aggregation: An application to industrial classification in cps data"],"prefix":"10.1002","volume":"7","author":[{"given":"R.","family":"Cotterman","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"F.","family":"Peracchi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2006,11,7]]},"reference":[{"key":"e_1_2_1_2_1","volume-title":"Classification and Regression Trees","author":"Breiman L.","year":"1984"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.2307\/1926089"},{"key":"e_1_2_1_4_1","first-page":"150","volume-title":"Disaggregation in Econometric Modelling","author":"Learner E. E.","year":"1990"},{"key":"e_1_2_1_5_1","volume-title":"Multivariate Descriptive Statistical Analysis: Correspondence Analysis and Related Techniques for Large Matrices","author":"Lebart L.","year":"1984"},{"key":"e_1_2_1_6_1","volume-title":"Empirical age\u2014earnings profiles","author":"Murphy K.","year":"1988"},{"key":"e_1_2_1_7_1","unstructured":"Pitts A. (1988). \u2018Matching adjacent years of the current population survey\u2019 Unicon Research Corporation Los Angeles (mimeo)."},{"key":"e_1_2_1_8_1","volume-title":"The U.S. Census occupational taxonomy: how much information does it contain?","author":"Welch F.","year":"1976"},{"key":"e_1_2_1_9_1","volume-title":"Clustering of Large Data Sets","author":"Zupan J.","year":"1982"}],"container-title":["Journal of Applied Econometrics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fjae.3950070105","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/jae.3950070105","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T19:04:34Z","timestamp":1698087874000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/jae.3950070105"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1992,1]]},"references-count":8,"journal-issue":{"issue":"1","published-print":{"date-parts":[[1992,1]]}},"alternative-id":["10.1002\/jae.3950070105"],"URL":"https:\/\/doi.org\/10.1002\/jae.3950070105","archive":["Portico"],"relation":{},"ISSN":["0883-7252","1099-1255"],"issn-type":[{"value":"0883-7252","type":"print"},{"value":"1099-1255","type":"electronic"}],"subject":[],"published":{"date-parts":[[1992,1]]}}}