The intelligence analysis task of anticipating crises and providing decision makers with reasonable (supportable, explainable) possible futures is extremely difficult. To perform this task, a team of analysts must consider the political, economic, and military aspects of national governments and non-governmental organizations. This paper describes an agent-based simulation framework, the Advanc...

Missing data frequently complicates data analysis for scientific investigations. The development of statistical methods to address missing data has been an active area of research in recent decades. Multiple imputation, originally proposed by Rubin in a public use dataset setting, is a general purpose method for analyzing datasets with missing data that is broadly applicable to a variety of mis...

This paper presents conflicting evidence on trends in private sector union and nonunion wages. The BLS quarterly Employment Cost Index (ECI), constructed from establishment surveys, uses fixed weights applied to wage changes among matched job quotes. The ECI shows a substantial decrease in wage growth for union relative to nonunion workers. The annual Employer Costs for Employee Compensation (E...

Model selection in complete data is a common task for the applied researcher. However, in many scenarios data are incomplete which further complicates the task of model selection. In this talk, we will specify the problem of model selection in incomplete data and discuss several possible solutions using multiple imputation. First, we will define a new general measure for the correct model selec...

Nonresponse is a major problem often faced by social scientists when analysing survey data. A range of methods exists to impute the missing responses but the choice between these methods may be difficult. This article reviews advantages and disadvantages of a range of imputation methods and provides guidance on how to use such methods in practice. The paper introduces the reader new to the impu...

In this note we introduce the Lorenz stable set and provide an axiomatic characterization in terms of constrained egalitarianism and projection consistency. On the domain of all coalitional games, we find that this solution connects the weak constrained egalitarian solution (Dutta and Ray, 1989) with their strong counterpart (Dutta and Ray, 1991). The first author acknowledges the support from ...

There are many competing computational algorithms in multiple imputation. To this date, however, it is unknown which of these algorithms outperforms the others under what circumstances. In this paper, we describe the mechanisms of various multiple imputation algorithms and compare their performance in a variety of situations to determine which algorithm is best suited to the imputation of missi...

Commonly in survey research, multiple, different analyses are conducted by one or more than one researcher on the same data set. The conclusions from these analyses should be consistent despite the presence of missing data. Multiple imputation is frequently used to ensure consistency of analyses. Two methods for multiple imputation of missing data are a combination of hot deck and regression im...