effect of nonresponse in individual or household surveys, only less is known in the case of business surveys. So, literature … imputation approaches for longitudinal data. After this, the microdata are aggregated and the results are compared with the …

size while taking into account possible nonresponse biases by modeling the response mechanism conditional on household size …. Various models are considered together with regression estimation and imputation-based poststratification. Comparisons are … that poststratification, response modeling and imputation should be used instead of the current method in official …

Non-response bias refers to the mistake one expects to make in estimating a population characteristic based on a sample … of survey data in which, due to non-response, certain types of survey respondents are under-represented. Social … misdirected policy action. Therefore, considerable attention has been given to the problem of non-response bias, both at the …

size while taking into account possible nonresponse biases by modeling the response mechanism conditional on household size …. Various models are considered together with regression estimation and imputation-based poststratification. Comparisons are … that poststratification, response modeling and imputation should be used instead of the current method in official …

across neighborhoods, focusing specifically on how neighborhood sociodemographic factors influence nonresponse, as measured … nonresponse in the ACS and the 2000 decennial census, and discusses reasons why this may be so. The ACS mail return rates are not …

attrition. Multiple imputation and ignorable maximum likelihood estimation produce estimates that are similar to those based on …