Income is an important correlate for numerous phenomena in the social sciences. But manysurveys collect data with just a single question covering all forms of income. This raisesissues of quality, and these are heightened when individuals are asked about the householdtotal rather than own income...

Functional data analysis (FDA) has become a popular technique in applied statistics.In particular, this methodology has received considerable attention in recent studiesin empirical finance. In this talk we discuss selected topics of functional principalcomponents analysis that are motivated by...

This paper shows how information about payments contained in normal market based data can be used by retailers. A possible strukture of hypotheses explaining consumers' payment behavior is described and a sample hypothesis is created and tested with actual market basket data. Knowledge of this...

This paper provides a systematic empirical analysis of the effects of merger and acquisitionactivity on profitability and firm level employee remuneration in the United Kingdom, using a speciallyconstructed database for the period 1979-1991...

Sweave combines typesetting with LATEX and data anlysis with S into integrated statistical documents. When run through R or Splus, all data analysis output (tables, graphs, ...) is created on the fly and inserted into a final LATEX document.(...)

In order to circumvent common difficulties in exchanging statistical data between heterogeneous applications (format incompatibilities, technocentric data representation), we introduce an XML-based markup language for statistical data, called StatDataML. After comparing StatDataML to other data...

Stock picking is the field of financial analysis that is of particular interest for many professional investors and researchers. In this study stock picking is implemented via binary classification trees. Optimal tree size is believed to be the crucial factor in forecasting performance of the...

This paper illustrates the effects of item-nonresponse in surveys on the results of multivariate statistical analysis when estimation of productivity is the task. To multiply impute the missing data a data augmentation algorithm based on a normal/Wishart model is applied. Data of the German IAB...

In this paper, we remove one serious drawback of the IAB employment sample impeding its applicability to the estimation of earnings frontiers: the censoring of the income data, by multiple imputation. Then, we estimate individual potential income with stochastic earnings frontiers, and we...

In order to analyze the gender wage gap with the German IAB-employment sample we have to solve the problem of censored wages at the upper limit of the social security system. We treat this problem as a missing data problem. We regard the missingness mechanism as not missing at random (NMAR,...