Some Practical Issues Related to the Integration of Data from Sample Surveys
AbstractTh e users of offi cial statistics data expect multivariate estimates at a low level of aggregation. However, due to fi nancial restrictions it is impossible to carry out studies on a sample large enough to meet the demand for low-level aggregation of results. At the same time, respondents’ burden prevents creation of long questionnaires covering many aspects of socio-economic life. Statistical methods for data integration seem to provide a solution to such problems. Th ese methods involve fusion of distinct data sources to be available in one set, which enables joint observation of variables from both fi les and estimations based on the sample size being the sum of sizes of integrated sources.
|Journal series||Statistika: Statistics and Economy Journal, ISSN 1804-8765, e-ISSN 0322-788x, (0 pkt)|
|Publication size in sheets||0.75|
|Keywords in English||data fusion, data integration, multiple imputation, quality assessment, statistical matching, sample survey|
|Score|| = 0.0, 30-12-2019, ArticleFromJournal|
= 5.0, 30-12-2019, ArticleFromJournal
|Citation count*||1 (2020-07-31)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.