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Chamberlain's approach to unobserved effects models : ウィキペディア英語版 | Chamberlain's approach to unobserved effects models
In a linear panel data setting, it can be desirable to estimate the magnitude of the Fixed Effects, as they provide measures of the unobserved components. For instance, in wage equation regressions, Fixed Effects capture ability measures that are constant over time, such as motivation. Chamberlain's approach to unobserved effects models is a way of estimating the linear unobserved effects, under Fixed Effect (rather than Random Effects) assumptions, in the following unobserved effects model ''yit = xitb + ci + uit 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Chamberlain's approach to unobserved effects models」の詳細全文を読む
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