Reducing the response burden and widening available statistical information necessitate new approaches in the National Statistical Institutes production process. Our article focuses on longitudinal data needs. Two approaches for building business longitudinal data in a context of cross-section surveys and administrative sources information are considered. The article describes construction approaches and evaluates the quality of two data bases obtained through multisources integration. The computed databases aim to represent the target population of Italian firms with 20 persons employed and over. The similarity of the distribution of the main economic variables between the target population and the computed databases is considered a basic criterion in evaluating the quality of the created databases. To this end, rank correlation, and the Fligner–Policello test are applied. In addition, representativeness R indicators are computed. No differences are found between distributions.

中文翻译：

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纵向业务数据构建和质量：两种不同的方法

减少响应负担和扩大可用的统计信息需要在国家统计机构的生产过程中采用新的方法。我们的文章侧重于纵向数据需求。考虑了在横截面调查和行政来源信息的背景下构建业务纵向数据的两种方法。本文描述了构建方法并评估了通过多源集成获得的两个数据库的质量。计算数据库旨在代表拥有 20 名及以上雇员的意大利公司的目标人群。目标人群与计算数据库之间主要经济变量分布的相似性被认为是评估创建数据库质量的基本标准。为此，秩相关，并应用 Fligner-Policello 检验。此外，还计算了代表性 R 指标。分布之间没有发现差异。