未找到相关数据
Treatment of sample under-representation and skewed heavy-tailed distributions in survey-based microsimulation: An analysis of redistribution effects in compulsory health care insurance in SwitzerlandMethoden zur Behandlung von Unterrepräsentation bei schiefen Verteilungen für die stichprobenbasierte Mikrosimulation: Eine Analyse zu den Umverteilungseffekten in der obligatorischen Krankenversicherung der Schweiz
被引：0
|作者：
Tobias Schoch
André Müller
机构：
[1] University of Applied Sciences Northwestern Switzerland,School of Business, Institute ICC
[2] Ecoplan AG – Research in Economics and Policy Consultancy,undefined
关键词：
Simulation;
Pareto distribution;
Representative outliers;
Nonresponse;
Calibration;
Imputation;
C15;
C54;
C63;
C83;
I13;
I18;
D O I：
10.1007/s11943-020-00275-8
中图分类号：
学科分类号：
摘要：
The credibility of microsimulation modeling with the research community and policymakers depends on high-quality baseline surveys. Quality problems with the baseline survey tend to impair the quality of microsimulation built on top of the survey data. We address two potential issues that both relate to skewed and heavy-tailed distributions.
引用
收藏
页码：267 / 304
页数：37
相关论文