In survey research, a consensus has grown regarding the effectiveness of incentives encouraging survey participation across different survey modes and target populations. Most of this research has been based on surveys from the United States, whereas few studies have provided evidence that these...

Missing survey data occur because of unit and item non-response. This is practically independent of the method of data collection. As a result of the bias that non-response sometimes introduces in survey estimates, identifying factors that promote it, and taking measures of prevention and...

Selective attrition out of longitudinal datasets is a concern for empirical researchers. This paper discusses a simple way to identify both direction and magnitude of potential sample bias in household panels. The idea is to exploit multiple types of simultaneous entries into the panel. The...

Item non-response occurs when respondents fail to provide answers to some or all of the questions posed during survey interviews. The standard procedure is to exclude such responses from the econometric analysis. This may be appropriate if the sample included does not differ significantly from...

In recent years, an increasing number of nationally representative surveys in the social sciences and economics have implemented the Big Five model of personality. While many personality inventories were originally developed in the context of self-administered questionnaires, they are often used...

In longitudinal studies, analysis can be based on any one of a large number of wavecombinations. However, only one set of non-response weights (often based on respondents from all waves up to the latest) is typically offered on public use data files. We refer to this as a single weighting...