We examine the performance of measures of mobility when allowance is made for the possibility of data contamination. We find that 'single-stage' indices - those that are applied directly to a sample from a multivariate income distribution - usually prove to be non-robust in the face of...

This dissertation is a collection of three essays that cover issues in poverty analysis. The first essay (Partial Identification of PovertyMeasures with Contaminated and Corrupted Data) applies a partial identification approach to poverty measurement when data errors arenon-classical in the...

In this paper we propose a whole class of estimators (“clockwise repeated median estimators” or CRM) for the simple regression model that are immune to manipulation by the agents generating the data. Although strategic considerations affecting the stability of the estimated parameters in...

mobility measures; robustness; data contamination

Commercial AI solutions provide analysts and managers with data-driven business intelligence for a wide range of decisions, such as demand forecasting and pricing. However, human analysts may have their own insights and experiences about the decision-making that is at odds with the algorithmic...

This paper is concerned with the problem of ranking Lorenz curves in situations where the Lorenz curves intersect and no unambiguous ranking can be attained without introducing weaker ranking criteria than first-degree Lorenz dominance. To deal with such situations Aaberge (2009) introduced two...

This paper introduces a new Lorenz dominance criterion that allows ranking income distributions according to ray-invariant intermediate inequality measures. In doing so, it defines a-Lorenz curves by adapting the generalized Lorenz curves to this case. In addition, it provides an empirical...