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Sonderforschungsbereich 386: Statistische Analyse diskreter Strukturen, Universität München (LMU) >
Discussion papers, SFB 386, LMU München >
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http://hdl.handle.net/10419/31008
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| Title: | | Some recent advances in measurement error models and methods  |
| Authors: | | Schneeweiss, Hans Augustin, Thomas |
| Issue Date: | | 2005 |
| Series/Report no.: | | Discussion paper // Sonderforschungsbereich 386 der Ludwig-Maximilians-Universität München 452 |
| Abstract: | | A measurement error model is a regression model with (substantial) measurement errors in the variables. Disregarding these measurement errors in estimating the regression parameters results in asymptotically biased estimators. Several methods have been proposed to eliminate, or at least to reduce, this bias, and the relative efficiency and robustness of these methods have been compared. The paper gives an account of these endeavors. In another context, when data are of a categorical nature, classification errors play a similar role as measurement errors in continuous data. The paper also reviews some recent advances in this field. |
| Subjects: | | Measurement errors error in variables misclassification efficiency comparison survival analysis |
| JEL: | | C13, C20, C24, C25 |
| Persistent Identifier of the first edition: | | urn:nbn:de:bvb:19-epub-1821-5 |
| Document Type: | | Working Paper |
| Appears in Collections: | | Discussion papers, SFB 386, LMU München
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