Using Auxiliary Information to Adjust for Non-response in Weighting a Linked Sample of Administrative Records
نویسندگان
چکیده
Federal estate tax returns are a rich source of information on the assets and liabilities associated with decedents, as well as data on beneficiaries of estates. When linked with income tax data for the decedents and their beneficiaries, the resulting data base provides a unique opportunity to study a variety of important economic issues relating to the transfer of wealth and the accumulation of capital. However, in creating such a complex, linked data base, it is inevitable that, for a variety of reasons, a number of records would be missing.
منابع مشابه
Estimating Variance of the Sample Mean in Two-phase Sampling with Unit Non-response Effect
In sample surveys, we always deal with two types of errors: Sampling error and non-sampling error. One of the most common non-sampling errors is nonresponse. This error happens when some sample units are not observed or viewed but they do not answer some of the questions. The complete prevention of this error is not possible, but it can be significantly reduced. The non-response causes bias and ...
متن کاملAn Application of Non-response Bias Reduction Using Propensity Score Methods
In many statistical studies some units do not respond to a number or all of the questions. This situation causes a problem called non-response. Bias and variance inflation are two important consequences of non-response in surveys. Although increasing the sample size can prevented variance inflation, but cannot necessary adjust for the non-response bias. Therefore a number of methods ...
متن کاملEffect of Measurement Errors on a Class of Estimators of Population Mean Using Auxiliary Information in Sample Surveys
We consider the problem of estimation the population mean of the study variate Y in presence of measurement errors when information on an auxiliary character X is known. A class of estimators for population means using information on an auxiliary variate X is defined. Expressions for its asymptotic bias and mean square error are obtained. Optimum conditions are obtained for which the mean...
متن کاملCalibration Weighting to Compensate for Extreme Values, Non-response and Non-coverage in Labor Force Survey
Frame imperfection, non-response and unequal selection probabilities always affect survey results. In order to compensate for the effects of these problems, Devill and Särndal (1992) introduced a family of estimators called calibration estimators. In these estimators we look for weights that have minimum distance with design weights based on a distance function and satisfy calibration equa...
متن کاملNon-response adjustment of survey estimates based on auxiliary variables subject to error
Auxiliary variables that are associated with both key survey variables and response propensity are important for post-survey non-response adjustments, but rare. Interviewer observations on sample units and linked auxiliary variables from commercially available household databases are promising candidates, but these variables are prone to error. The assumption of missingness at random that under...
متن کامل