Research Microdata Files

Research Microdata Files
Author: United States. Social Security Administration. Office of Research and Statistics
Publisher:
Total Pages: 20
Release: 1978
Genre: Social security
ISBN:

Managing Statistical Confidentiality & Microdata Access

Managing Statistical Confidentiality & Microdata Access
Author: Conference of European Statisticians
Publisher:
Total Pages: 114
Release: 2007
Genre: Computers
ISBN:

These guidelines have been prepared a Task Force set up by the Conference of European Statisticians, with two main objectives.- The first is to foster greater uniformity of approach by countries to allow better access to microdata for the research community. The second is to produce guidelines and supporting case studies, which will help countries improve their arrangements for providing access to microdata.

Recherche Sur la Hiérarchisation Des Fichiers de Microdonnées À Grande Diffusion Du Recensement

Recherche Sur la Hiérarchisation Des Fichiers de Microdonnées À Grande Diffusion Du Recensement
Author: Jean-René Boudreau
Publisher:
Total Pages: 82
Release: 2006
Genre: Census
ISBN:

"A microdata file is the set of answers obtained by survey path. For household surveys or population censuses, files of this type are hierarchical if the data on all the persons in the households sampled or enumerated are present. The statistical agencies ensure that this data remain anonymous by eliminating all possibility of identification. A number of countries produce hierarchical files of microdata from their censuses. Canada, however, does not. As a matter of fact, Canada has disseminated microdata files since 1971 but these files have always been designed without incorporating the complete hierarchy of households. We are assessing here the protection of statistical confidentiality for the 2001 census, that is, we are assessing whether it is easy or very difficult to identify individuals from data alone. We define two measurements of statistical confidentiality protection: the conditional probability of uniqueness and the conditional probability of exact matches. We apply these two measurements to a set of records from the 1996 census for various groups of variables. On the basis of the results obtained, we conclude that publication of a public use hierarchical file significantly reduces the protection of statistical confidentiality"--Abstract, p. iii.

Data-Driven Policy Impact Evaluation

Data-Driven Policy Impact Evaluation
Author: Nuno Crato
Publisher: Springer
Total Pages: 344
Release: 2018-10-02
Genre: Political Science
ISBN: 3319784617

In the light of better and more detailed administrative databases, this open access book provides statistical tools for evaluating the effects of public policies advocated by governments and public institutions. Experts from academia, national statistics offices and various research centers present modern econometric methods for an efficient data-driven policy evaluation and monitoring, assess the causal effects of policy measures and report on best practices of successful data management and usage. Topics include data confidentiality, data linkage, and national practices in policy areas such as public health, education and employment. It offers scholars as well as practitioners from public administrations, consultancy firms and nongovernmental organizations insights into counterfactual impact evaluation methods and the potential of data-based policy and program evaluation.