Nonresponse weighting is a common method for handling unit nonresponse in surveys. A widespread view is that the weighting method is aimed at reducing nonresponse bias, at the expense of an increase in variance. Hence, the efficacy of weighting adjustments becomes a bias-variance trade-off. This...

Complex survey data are collected by means other than simple random samples. This creates two analytical issues: nonindependence and unequal selection probability. Failing to address these issues results in underestimated standard errors and biased parameter estimates. Using data from the...

Complex survey data, as highlighted in this issue of Evaluation Review, provide a wealth of opportunities for answering methodological and/or applied research questions. However, the analytic issues of nonindependence and unequal selection probability must be addressed when analyzing this type...

This paper describes the survey and sample designs adopted to carry out the second occasion of the income survey in province of Modena. Specifically, it illustrates the determination of the sampling size, the territorial stratification, the selection of sampling units, the calculation of...

We conduct a sensitivity analysis of several estimators related to household income, to explore how some details of the definitions of the variables concerned influence the values of the common estimates, such as the mean, median and (poverty) rates. The purpose of this study is to highlight...

We conduct a sensitivity analysis of several estimators related to household income, to explore how some details of the definitions of the variables concerned influence the values of the common estimates, such as the mean, median and (poverty) rates. The purpose of this study is to highlight...

In this article, we consider estimation of parameters of random effects models from samples collected via complex multistage designs. Incorporation of sampling weights is one way to reduce estimation bias due to unequal probabilities of selection. Several weighting methods have been proposed in...

The European Union Statistics on Income and Living Conditions (EU-SILC) is a rotational panel provided by Eurostat that covers important variables over all EU Member States. Unfortunately, Eurostat provides separate data sets which do not cover all waves. Furthermore, information on monthly...

The European Union Statistics on Income and Living Conditions (EU-SILC) is a rotational panel provided by Eurostat that covers variables with a high potential for comparative European labour market and social research. Unfortunately, its current availability limits its potential research...