Statistical resource needs to be increased in the European regulatory agencies

The following viewpoint from PSI and EFSPI regarding the current level of statistical resource in the European regulatory agencies was first presented as a position paper to a meeting of the EU Heads of Agencies in July 2009, and was endorsed by EFPIA. Copyright © 2010 John Wiley & Sons, Ltd.     

Asylum seekers in Europe: the warm glow of a hot potato

The Common European Asylum System calls for increased coordination of the European Union (EU) countries’ policies towards asylum seekers and refugees. In this paper, we provide a formal analysis of the effects of coordination, explicitly modelling the democratic process through which policy is determined. In a symmetric, two-country citizen-candidate setup, in which accepting asylum seekers in one country generates a cross-border externality in the other, we show that coordination is desirable. Internalizing the externality leads to a welfare improvement over the non-cooperative outcome. However, contrary to suggestions by many observers, we show that allowing for cross-country transfers in the cooperative outcome leads to a welfare inferior outcome because the possibility of compensation exacerbates strategic delegation effects.

Estimation of Semiparametric Models when the Criterion Function Is Not Smooth

We provide easy to verify sufficient conditions for the consistency and asymptotic normality of a class of semiparametric optimization estimators where the criterion function does not obey standard smoothness conditions and simultaneously depends on some nonparametric estimators that can themselves depend on the parameters to be estimated. Our results extend existing theories such as those of Pakes and Pollard (1989), Andrews (1994a), and Newey (1994). We also show that bootstrap provides asymptotically correct confidence regions for the finite dimensional parameters. We apply our results to two examples: a ‘hit rate’ and a partially linear median regression with some endogenous regressors.     

The Role of Government in Macro-Level Quality Development: A Case Study of South Korea

Public Organization Review - This study investigates the South Korean government’s effort to promote macro-level quality development. Using the single case study method, the authors examined...     

Natural cubic splines for the analysis of Alzheimer's clinical trials

Mixed model repeated measures (MMRM) is the most common analysis approach used in clinical trials for Alzheimer's disease and other progressive diseases measured with continuous outcomes over time. The model treats time as a categorical variable, which allows an unconstrained estimate of the mean for each study visit in each randomized group. Categorizing time in this way can be problematic when assessments occur off-schedule, as including off-schedule visits can induce bias, and excluding them ignores valuable information and violates the intention to treat principle. This problem has been exacerbated by clinical trial visits which have been delayed due to the COVID19 pandemic. As an alternative to MMRM, we propose a constrained longitudinal data analysis with natural cubic splines that treats time as continuous and uses test version effects to model the mean over time. Compared to categorical-time models like MMRM and models that assume a proportional treatment effect, the spline model is shown to be more parsimonious and precise in real clinical trial datasets, and has better power and Type I error in a variety of simulation scenarios.     

A multivariate extension of the Lorenz curve based on copulas and a related multivariate Gini coefficient

The Journal of Economic Inequality - We propose an extension of the univariate Lorenz curve and of the Gini coefficient to the multivariate case, i.e., to simultaneously measure inequality in more...