Small area estimation techniques are employed when sample data are insufficient for acceptably precise direct estimation in domains of interest. These techniques typically rely on regression models that use both covariates and random effects to explain variation between domains. However, such...

The Republic of Moldova demonstrates the highest reliance on natural contraceptive methods in Europe, and natural methods account for an increasing proportion of contraceptive mix since 1997. This study investigates method use correlates in Moldova in order to explain this high reliance on...

Small-area estimation techniques have typically relied on plug-in estimation based on models containing random area effects. More recently, regression M-quantiles have been suggested for this purpose, thus avoiding conventional Gaussian assumptions, as well as problems associated with the...

Data sets commonly used in the social sciences are often obtained by sample surveys with complex designs. These designs usually incorporate a multistage selection from a population with a natural hierarchical structure. In addition, these surveys can also be carried out in a repeated manner...

Giving by individuals for development has been illustrated recently by some spectacular examples. A few people giving very large sums, and a very large number of people giving modest amounts, are both important phenomena in the field of development finance. This paper considers how in theory...

We model the determinants of donations made to UK overseas development charities using panel data on charities’ donation income covering a 25 year period. The paper starts by reviewing relevant theory and previous empirical work on donations to UK charities before outlining a framework in...

The paper proposes that whether period indicators are biased by timing effects depends on the objective of measurement. Several kinds of bias in the TFR are identified. Five reasons for measuring period fertility are distinguished: to explain fertility time trends, to anticipate future...

Partial F tests play a central role in model selections in multiple linear regression models.This paper studies the partial F tests from the view point of simultaneous confidence bands. It first shows that there is a simultaneous confidence band associated naturally with a partial F test. This...

When multilevel models are estimated from survey data derived using multistage sampling, unequal selection probabilities at any stage of sampling may induce bias in standard estimators, unless the sources of the unequal probabilities are fully controlled for in the covariates. This paper...

Generalized log-linear models can be used to describe the association structure and marginal distribution using association-marginal (AM) models, which are specially formulated generalized log-linear models that combine two models: an association (A) model, which describes the association among...