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引用次数: 4
摘要
意大利主要的企业调查正在从简单的传统数据收集方式转向更为复杂的方式。这种新方法基于调查数据库管理,涉及许多数据源(包括管理数据)的重铸。利用行政数据的理由是:提高时效性、提高准确性和减少统计负担。在我们的论文中,我们关注意大利SCI调查(Sistema dei Conti delle impression,即企业账户调查)。在过去的几年里,许多创新被引入到这项调查中,并仍在进行中。自2005年以来,最终的经济估计是结合各种数据来源获得的,主要是行政数据。集成过程涉及许多方法上的解决方案。本文主要研究无响应问题,特别是单元无响应问题。首先简要回顾了国家统计研究所的方法问题、研究和应用趋势。随后,利用行政记录和综合资源估算商业数据的替代方法被应用于SCI调查数据。给出了集成过程,并验证了其对提高最终数据质量的影响。
Combining survey and administrative data in Italian business surveys
The main Italian enterprise surveys are shifting from a simple traditional data collection approach to a more complex one. This new approach is based on survey database management involving the recasting of many data sources (including administrative data). The reasons for utilising administrative data are: improved timeliness, increased precision and a reduction in the statistical burden. In our paper we focus on the Italian SCI survey (Sistema dei Conti delle Imprese, i.e., Businesses accounts survey). A number of innovations have been introduced into this survey over the last few years and remain ongoing. Since 2005, final economic estimates are obtained combining various data sources, primarily administrative data. The integration procedure involves a number of methodological solutions. In this paper we deal with the problem of non-response, particularly unit non-response. At first methodological issues, research and applicative trends in the NSI (National Statistical Institute) are briefly reviewed. Afterwards alternative means of estimating business data using administrative records and integrating sources are applied to the SCI survey data. The integration procedure is presented and its impact on the improvement of final data quality is verified.
期刊介绍:
The Journal of Economic and Social Measurement (JESM) is a quarterly journal that is concerned with the investigation of all aspects of production, distribution and use of economic and other societal statistical data, and with the use of computers in that context. JESM publishes articles that consider the statistical methodology of economic and social science measurements. It is concerned with the methods and problems of data distribution, including the design and implementation of data base systems and, more generally, computer software and hardware for distributing and accessing statistical data files. Its focus on computer software also includes the valuation of algorithms and their implementation, assessing the degree to which particular algorithms may yield more or less accurate computed results. It addresses the technical and even legal problems of the collection and use of data, legislation and administrative actions affecting government produced or distributed data files, and similar topics. The journal serves as a forum for the exchange of information and views between data producers and users. In addition, it considers the various uses to which statistical data may be put, particularly to the degree that these uses illustrate or affect the properties of the data. The data considered in JESM are usually economic or social, as mentioned, but this is not a requirement; the editorial policies of JESM do not place a priori restrictions upon the data that might be considered within individual articles. Furthermore, there are no limitations concerning the source of the data.