| 청구기호 |
HA31.23 .W35 2007 |
| 형태사항 |
x, 247 p. ; 26 cm.
|
| 언어 |
English |
| 서지주기 |
Includes bibliographical references and index.
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| 내용 |
Register-based surveys: an introduction. - Do we need a theory on register-based surveys? - What is a statistical survey?. - What is a register?. - What is a register-based survey?. - Administrative and statistical information systems. - Why should statistics be based on administrative data?. - An overview of this book. - How to structure a register system. - Object types and relations. - The system of base registers. - Standardised variables in the register system. - The register system as a whole. - Building and using the system. - Statistical register systems outside statistics Sweden. - A terminology for register-based surveys. - Terminology: different language. - Register terms. - Terms for different kinds of variables. - Sample surveys and registers. - How can sample surveys benefit by the register system?. - How can register-based surveys and sample surveys be combined?. - Comparing sample surveys and register-based surveys. - How to create a register: the population. - How should register-based surveys be structured?. - Determining the research objectives. - The inventory phase: making an inventory of different sources. - Defining a register's object set. - Defining and deriving objects. - How to produce regional register-based statistics. - How to create a register: the variables. - Deciding the register's variable content. - Forming derived variables using models. - Editing and correcting register variables. - Creating longitudinal registers. - Estimation methods. - Estimation in sample surveys and register-based surveys. - Fundamental estimation methods in register-based surveys. - Using weights in register-based surveys. - Estimation methods using weights: calendar year registers. - Calibration of weights in register-based surveys. - Calibration and imputation. - The nonresponse problem. - Estimation methods to correct for overcoverage. - Estimation methods to correct for level shifts in time series. - Estimation with combination objects. - Aggregation errors. - Estimation methods for multi-valued variables. - Linking of time series at micro level using combination objects. - Quality of register-based statistics. - Specific quality issues for register-based statistics? - Comparing errors in sample surveys and register-based surveys. - The users And the producers View of quality. - Detailed knowledge of the characteristics of a register. - Overall appraisal of quality. - Metadata and IT-systems. - Primary registers: the need for metadata. - Changes over time: the need for metadata. - Integrated registers: the need for metadata. - Classification and definitions database. - The need for metadata for registers. - IT systems for register-based statistics. - Protection of privacy and confidentiality. - Internal security. - Disclosure risks: tables. - Disclosure risks: micro data. - Coordination and coherence. - Content-related coordination. - Coherence. - Consistent and coherent enterprise statistics. - Conclusions. - Appendix 1. References. - Appendix 2. Register-statistical terms and index.
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| 주제 |
Register-based statistics.
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| LCCN |
2006029956
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| ISBN |
9780470027783 (HB : alk. paper)
0470027789 (HB : alk. paper)
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