Suchergebnisse

Data fusion describes the method of combining data from (at least) two initially independent data sources to allow for joint analysis of variables which are not jointly observed. The fundamental idea is to base inference on identifying assumptions, and on common variables which provide information that is jointly observed in all the data sources. A popular class of methods dealing with this particular missing-data problem in practice is based on covariate-based nearest neighbour matching, whereas more flexible semi- or even fully parametric approaches seem underrepresented in applied data fusion. In this article we compare two different approaches of nearest neighbour hot deck matching: One, Random Hot Deck, is a variant of the covariate-based matching methods which was proposed by Eurostat, and can be considered as a 'classical' statistical matching method, whereas the alternative approach is based on Predictive Mean Matching. We discuss results from a simulation study where we deviate from previous analyses of marginal distributions and consider joint distributions of fusion variables instead, and our findings suggest that Predictive Mean Matching tends to outperform Random Hot Deck.

Are political parties willing to partially forgo their office and policy goals to maximize their coalition governance capacities? Multiparty governments are plagued with preference heterogeneity and uncertainty about policy outcomes. In this article, we argue that parties choose to make a strategic allocation of portfolios to curb delegation perils. They use portfolios with jurisdiction overlaps to shadow each other at the ministerial level. We define a wary partners' situation when different parties control the portfolios that form a jurisdiction combination. We test this hypothesis for 12 West European parliamentary democracies since 1945. Our contribution conjugates a Monte Carlo simulation, which estimates whether real-world distribution differs significantly from expected allocation under nonstrategic behavior, with in-depth interviews with more than 40 former ministers. Results show that wary partners are used extensively as coalition governance mechanisms, particularly because of their capacity to curb information asymmetries and to avoid interministerial gridlock.