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Bias from Classical and Other Forms of Measurement Error Author info | Abstract | Publisher info | Download info | Related research | Statistics Hyslop, Dean R
Imbens, Guido W
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We consider the implications of an alternative to the classical measurement-error model, in which the observed, mismeasured data are optimal predictions of the true values, given some information set. In this model, any measurement error is uncorrelated with the reported value and, by necessity, correlated with the true value of interest. In a regression model, such measurement error in the regressor does not lead to bias, whereas measurement error in the dependent variable leads to bias toward 0. In general, the measurement-error model, together with the information set, is critical for determining the bias in econometric estimates.
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Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics .
Volume (Year): 19 (2001)
Issue (Month): 4 (October)
Pages: 475-81
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Handle: RePEc:bes:jnlbes:v:19:y:2001:i:4:p:475-81Contact details of provider: Web page: http://www.amstat.org/publications/jbes/index.cfm?fuseaction=main
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