Register-based Statistics: Administrative Data for Statistical Purposes
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However, there is an investment and maintenance cost for the registers, which has to be shared by the statistics production systems using them. It should also be noted that register-based statistics production reduces the response burden, since register data which have already been provided by the respondents for administrative purposes are reused for statistical purposes. Source: Washington Post. A new approach? Equalised income — total household income, which is divided by a sum of equivalence scales of all household members. Household can also consist of one member only.
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Log in. Auth with social network: Registration Forgot your password? Download presentation. Cancel Download. Presentation is loading. Please wait. How to cite item. Review policy. Email this article Login required. Email the author Login required. Share this article. Statistical sources and statistical system in the information society. The main issues concerning the Italian statistical system and its key objects, and the topics arising to ensure appropriate standards for data resulting from non statistical sources are investigated and discussed in the paper.
In particular, the new challenges arising from the statistical use of administrative and managerial sources are identified. A good practice is to provide feedback to the administrative source to assist them in improving their data.
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Consider privacy implications of the publicationof information from administrative records. Although the Statistics Act provides Statistics Canada with the authority to access administrative records for statistical purposes, this use may not have been foreseen by the original suppliers of information Statistics Canada, Therefore, programs should be prepared to explain and justify the public value and innocuous nature of this secondary use.
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Administrative information is sometimes used to replace a set of questions that would otherwise be asked of the respondent. In this instance, permission from the respondent may have to be obtained. When consent is not obtained, put collection procedures in place for the equivalent survey questions to be asked of the respondents. Administrative data often has information about specific people or businesses.
Any data release from Statistics Canada is subject to the Statistics Act confidentiality provision, even when the data itself is already available in the public domain. Therefore, the guidelines for disclosure control should be considered when preparing any data analysis for release, including the release of administrative data.
When record linkage of administrative records is necessary e.
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Privacy concerns that may arise when a single administrative record source is used are multiplied when linkage is made to other sources. In such cases, the subjects may not be aware that information supplied on two separate occasions is being combined. The Policy on Record Linkage is designed to ensure that the public value of each record linkage truly outweighs any intrusion on privacy that it represents. It is not always easy to combine an administrative source with another source of information. This is especially true when a common matching key for both sources is not available and record linkage techniques are used.
In this case, select the type of linkage methodology e. When the purpose is frame creation and maintenance, or data editing, exact matching should be used. In the case of imputation or weighting, exact matching should be used, but statistical matching can be also sufficient. When the sources are linked for performing some data analyses that are impossible otherwise, consider statistical matching, e.
When record linkage is to be performed, make appropriate use of existing software.
Statistics Canada's Generalized Record Linkage Software is but one example of a number of well-documented packages. When data from more than one administrative source are combined, pay additional attention to reconcile potential differences in their concepts, definitions, reference dates, coverage, and the data quality standards applied at each data source. Examples are education data sources, health and crime reports, and registries of births, marriages, licenses, and registered vehicles, which are provided by various organizations and government agencies.
Register-based Statistics: Administrative Data for Statistical Purposes
Some administrative data are longitudinal in nature e. When records from different reference periods are linked, they are very rich data mines for researchers. Remain especially vigilant when creating such longitudinal and person-oriented databases, as their use raises very serious privacy concerns. Use the identifier with care, as a unit may change identifiers over time. Track down such changes to ensure proper temporal data analysis. In some instances, the same unit may have two or more identifiers for the same reference period, thus introducing duplication in the administrative file.
If this occurs, develop an unduplication mechanism. Do the data elements that are being captured in the administrative system reflect the concepts and definitions of the data user? Although it is often less expensive to mine administrative data than to collect the information via a survey, the analytical goals must be met with the administrative data in order for it to be a useful endeavour.
Indicate the source, vintage, and how well definitions and classifications match to the survey data, and to the needs of data users. Administrative data often does not go through the same edits that survey data does. Some edits are usually performed by the administrative organization, but their nature and purposes are usually different from those of the statistical agency. As a result, data quality can be an issue when using administrative sources for statistical purposes, particularly with no or limited ability to recontact the originator of the information.
Additionally, sampled administrative data may not adhere to any standard sampling scheme, introducing possible biases and making the calculation of sampling error difficult.
Finally, if the administrative data are used as a frame in addition to or in place of another one obtained from data collection, it may not be possible to analyze the issues of coverage and nonresponse. On the positive side, many administrative data sources are censuses, meaning that there will be no sampling error in the estimates obtained from them. Indicate the contribution to key estimates from administrative data.
If used as a frame, report the imputation rate for item or complete nonresponse and explain how the imputation was performed. If the administrative data are simply summed to produce an estimate, include an estimate of the loss of precision due to imputation. If administrative data make up part of the estimate, the rest being accounted for by survey data, report the portion of the frame covered by the administrative data as well as the portion of the estimate.
This is a serious consideration for administrative data. It is common for this type of data to be unavailable until well after the reference period. In the case of using administrative data for a frame, it may be well out-of-date by the time it can be used. Additionally, if administrative data are integrated with survey data, it is important that the administrative data be as timely as the survey data: otherwise the entire process can be held up.
Conversely, there are some cases where administrative systems are maintained in real time, making extraction of information from them timelier than performing a separate survey. Indicate the vintage of any administrative data used. Explain the assumptions that are made regarding the use of outdated administrative data. This is another significant consideration with administrative data. This type of data is typically captured for another purpose and, as a result, will not necessarily mesh with already-defined concepts that might exist on other statistical holdings.
This can be true in the case of concepts and definitions, and even in the sense of coverage and sample design. Administrative data might cover only a portion of the target population, making it problematic to use, or a sampling strategy may have been employed making the calculation of survey weights difficult to perform. There are cases where survey designers should have input into the design of the administrative systems, which can greatly increase the coherence of the data. List any exclusion that may complicate comparisons with other data.
Indicators may include a measure of the target population not covered.