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bias. We study this by using a data set that combines survey information of individual workers with administrative records … survey respondents and non-respondents. We develop a method to distinguish empirically between two explanations for a bias in … both explanations. We discuss implications for standard methods to deal with non-response bias. …
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Using commuting data for Brisbane, Australia, we find that accounting for measurement error in travel times causes the magnitude of parameters in mode and location choice models to increase approximately three-fold and 30-40%, respectively. Errors appear to be somewhat systematic, with travel...
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effects of error propagation on the bias and mean squarederror of the meta-estimator, and the size and the power of …
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We propose a first order bias correction term for the Gini index to reduce the bias due to grouping. The first order … reveals an intuitive formula for the remaining second order bias which is useful in empirical analyses. We analyze the … it reduces a considerable share of the bias due to grouping. …
Persistent link: https://www.econbiz.de/10011377108
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the measurement error. The standard attenuation bias suggests that using these corrected data would lead to a higher …
Persistent link: https://www.econbiz.de/10011335189
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In statistics, samples are drawn from a population in a datagenerating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidencegenerating process (EGP). We claim that EGP variation...
Persistent link: https://www.econbiz.de/10012795280