Do financial market analysts use structural economic models when forecasting exchange rates? This is the leading question analysed in this paper. In contrast to other studies we use expectations data instead of observable variables. Therefore we analyse the implicit structural models forecasters...

Much of the theoretical literature on inequality assumes that the equalisand is a cardinal variable like income or wealth. However, health status is generally measured as a categorical variable expressing a qualitative order. Traditional solutions involve reclassifying the variable by means of...

The measurement of health inequalities usually involves either estimating the concentration of health outcomes using an income-based measure of status or applying conventional inequality-measurement tools to a health variable that is non-continuous or, in many cases, categorical. However, these...

Approaches to measuring health inequalities are often problematic in that they use methods that are inappropriate for categorical data. The approach here focuses on "pure" or univariate health inequality (rather than income-related or bivariate health inequality) and is based on a concept of...

In this paper, we propose a general mathematical model for analyzing yield data. The data analyzed in this paper come from a characteristic corn field in the upper midwestern United States. We derive expressions for statistical moments from the underlying stochastic model. Consequently, we...

This paper describes how to use the R package gateveys to establish a transparent and reproducible aggregation work flow for longitudinal data stemming from business tendency surveys (BTS). Business tendency survey researchers are addressed in particular though the suggested work flow could also...