期刊论文详细信息
Journal for Labour Market Research
Population aggregates from administrative data samples–how good are they?
Original Article
Philipp vom Berge1 
[1] Institute for Employment Research (IAB), Regensburger Str. 104, 90478, Nuremberg, Germany;
关键词: SIAB;    BHP;    Microdata;    Aggregation;    Statistical Disclosure Control;    C43;    C80;   
DOI  :  10.1186/s12651-023-00334-x
 received in 2022-10-31, accepted in 2023-01-16,  发布年份 2023
来源: Springer
PDF
【 摘 要 】

Researchers regularly use administrative micro-data samples to approximate subgroup aggregates from the full population. In this paper, I argue that the most commonly used method to do this is often not optimal. I outline some alternatives and compare their relative performance in selected cases. I also discuss the effect of statistical disclosure control on the aggregated data and how researchers can reduce bias resulting from censoring.

【 授权许可】

CC BY   
© The Author(s) 2023

【 预 览 】
附件列表
Files Size Format View
RO202305154548424ZK.pdf 843KB PDF download
Fig. 1 185KB Image download
MediaObjects/12951_2023_1782_MOESM1_ESM.pdf 819KB PDF download
Fig. 1 407KB Image download
Fig. 1 76KB Image download
MediaObjects/12888_2023_4604_MOESM1_ESM.xlsx 21KB Other download
Fig. 2 2277KB Image download
Fig. 4 1541KB Image download
Fig. 4 2092KB Image download
Fig. 2 3053KB Image download
40854_2022_440_Article_IEq31.gif 1KB Image download
【 图 表 】

40854_2022_440_Article_IEq31.gif

Fig. 2

Fig. 4

Fig. 4

Fig. 2

Fig. 1

Fig. 1

Fig. 1

【 参考文献 】
  • [1]
  • [2]
  • [3]
  文献评价指标  
  下载次数:2次 浏览次数:2次