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But BMI representing obesity is a tightly specified function of weight and height, and there is a room for weight given height (i.e. obesity given height) to better explain wage when the tight specification gets relaxed. In this paper, we address the question of <jats:italic>weight effect on wage<\/jats:italic> given height, employing two\u2010wave panel data for white females and adopting a semi\u2010linear model consisting of a nonparametric function of weight and height and a linear function of the other regressors. We find that there is <jats:italic>no weight effect on wage up to the average weight, beyond which a large negative effect<\/jats:italic> kicks in. Linear BMI models give the incorrect impression of the presence of a \u2018wage gain\u2019 by becoming slimmer than the average and of a \u2018wage loss\u2019 that is less than what it actually is when going above the average. Copyright \u00a9 2010 John Wiley &amp; Sons, Ltd.<\/jats:p>","DOI":"10.1002\/jae.1209","type":"journal-article","created":{"date-parts":[[2010,9,13]],"date-time":"2010-09-13T05:06:05Z","timestamp":1284354365000},"page":"666-685","source":"Crossref","is-referenced-by-count":6,"title":["Lose weight for a raise only if overweight: Marginal integration for semi\u2010linear panel models"],"prefix":"10.1002","volume":"27","author":[{"given":"Kamhon","family":"Kan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Myoung\u2010Jae","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2010,9,13]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0304-4076(03)00095-2"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.2307\/146065"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpubeco.2005.09.005"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/hec.881"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/jae.1022"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhealeco.2007.05.005"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.2307\/3559022"},{"key":"e_1_2_6_9_1","doi-asserted-by":"publisher","DOI":"10.2307\/1391799"},{"key":"e_1_2_6_10_1","doi-asserted-by":"publisher","DOI":"10.1079\/BJN19910073"},{"key":"e_1_2_6_11_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.330.7492.620"},{"key":"e_1_2_6_12_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.288.14.1723"},{"key":"e_1_2_6_13_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2009.2014"},{"key":"e_1_2_6_14_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJM199309303291406"},{"key":"e_1_2_6_15_1","doi-asserted-by":"crossref","unstructured":"GregoryCA RuhmCJ.2009.Where does the wage penalty bite?NBER working paper 14984 National Bureau of Economic Research Cambridge MA.","DOI":"10.3386\/w14984"},{"key":"e_1_2_6_16_1","first-page":"1174","article-title":"Beauty and the labor market","volume":"84","author":"Hamermesh DS","year":"1994","journal-title":"American Economic Review"},{"key":"e_1_2_6_17_1","doi-asserted-by":"publisher","DOI":"10.1017\/S026646660420202X"},{"key":"e_1_2_6_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jeconom.2008.01.005"},{"key":"e_1_2_6_19_1","doi-asserted-by":"publisher","DOI":"10.2307\/1913103"},{"key":"e_1_2_6_20_1","doi-asserted-by":"publisher","DOI":"10.2307\/2951583"},{"key":"e_1_2_6_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ehb.2009.01.008"},{"key":"e_1_2_6_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/0021-9681(72)90027-6"},{"key":"e_1_2_6_23_1","doi-asserted-by":"publisher","DOI":"10.1002\/jae.1028"},{"key":"e_1_2_6_24_1","unstructured":"KondoY LeeMJ.2002.Nonparametric derivative estimation for related\u2010effect panel data. 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