Showing 1 - 10 of 12,570
processes found in most social-science data, such procedures can induce or exacerbate bias, and even inflate the variance … estimates. We term this source of bias ?Iatrogenic? (or econometrician induced) error. Monte Carlo simulations and empirical …
Persistent link: https://www.econbiz.de/10010261852
Social surveys are often used to estimate unemployment duration distributions. Survey nonresponse may then cause a bias … respondents and non-respondents. We develop a method to empirically distinguish between two explanations for a bias in results … both explanations. We discuss implications for standard methods to deal with non-response bias. …
Persistent link: https://www.econbiz.de/10010262049
Since interventions by the public sector generally commit substantial societal resources, the evaluation of effects and costs of policy interventions is imperative. This paper outlines why program evaluation should follow well-respected scientific standards and why it should be performed by...
Persistent link: https://www.econbiz.de/10010262297
fixed effects estimator, which ignores measurement errors, is biased. By correcting for the bias one can construct …
Persistent link: https://www.econbiz.de/10010264605
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. …
Persistent link: https://www.econbiz.de/10010325350
Rationality of early release data is typically tested using linear regressions. Thus, failure to reject the null does not rule out the possibility of nonlinear dependence. This paper proposes two tests that have power against generic nonlinear alternatives. A Monte Carlo study shows that the...
Persistent link: https://www.econbiz.de/10010282830
In this paper, we empirically assess the extent to which early release inefficiency and definitional change affect prediction precision. In particular, we carry out a series of ex-ante prediction experiments in order to examine: the marginal predictive content of the revision process, the...
Persistent link: https://www.econbiz.de/10010282871
We analyse response patterns to an important survey of school children, exploiting rich auxiliary information on respondents' and non-respondents' cognitive ability that is correlated both with response and the learning achievement that the survey aims to measure. The survey is the Programme for...
Persistent link: https://www.econbiz.de/10010276708
This paper proposes a powerful alternative to the t-test of the null hypothesis that a coefficient in linear regression is equal to zero when a regressor is mismeasured. We assume there are two contaminated measurements of the regressor of interest. We allow the two measurement errors to be...
Persistent link: https://www.econbiz.de/10014480598
This paper considers nonparametric identification and estimation of the regression function when a covariate is mismeasured. The measurement error need not be classical. Employing the small measurement error approximation, we establish nonparametric identification under weak and...
Persistent link: https://www.econbiz.de/10014581847