Synthetic data for open and reproducible methodological research in social sciences and official statistics

被引:0
|
作者
Burgard J.P. [1 ]
Kolb J.-P. [2 ]
Merkle H. [1 ]
Münnich R. [1 ]
机构
[1] FB IV, VWL, Wirtschafts- und Sozialstatistik, Universität Trier, Universitätsring 15, Trier
[2] Leibniz-Institut für Sozialwissenschaften in Mannheim, GESIS, B2 1, Mannheim
基金
欧盟地平线“2020”;
关键词
Household data; Open and reproducible research; Open data; Simulation experiments;
D O I
10.1007/s11943-017-0214-8
中图分类号
学科分类号
摘要
Open and reproducible research receives more and more attention in the research community. Whereas empirical research may benefit from research data centres or scientific use files that foster using data in a safe environment or with remote access, methodological research suffers from the availability of adequate data sources. In economic and social sciences, an additional drawback results from the presence of complex survey designs in the data generating process, that has to be considered when developing and applying estimators. In the present paper, we present a synthetic but realistic dataset based on social science data, that fosters evaluating and developing estimators in social sciences. The focus is on supporting comparable and reproducible research in a realistic framework providing individual and household data. The outcome is provided as an open research data resource. © 2017, The Author(s).
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页码:233 / 244
页数:11
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