Administrative Records for Survey Methodology. Группа авторов. Читать онлайн. Newlib. NEWLIB.NET

Автор: Группа авторов
Издательство: John Wiley & Sons Limited
Серия:
Жанр произведения: Математика
Год издания: 0
isbn: 9781119272069
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      1  Cover

      2  Wiley Series in Survey Methodology

      3  Title Page

      4  Copyright

      5  Preface

      6  Acknowledgments

      7  List of Contributors

      8  Part I: Fundamentals of Administrative Records Research and Applications 1 On the Use of Proxy Variables in Combining Register and Survey Data 1.1 Introduction 1.2 Instances of Proxy Variable 1.3 Estimation Using Multiple Proxy Variables 1.4 Summary References 2 Disclosure Limitation and Confidentiality Protection in Linked Data 2.1 Introduction 2.2 Paradigms of Protection 2.3 Confidentiality Protection in Linked Data: Examples 2.4 Physical and Legal Protections 2.5 Conclusions 2.A Appendix: Technical Terms and Acronyms Acknowledgments References

      9  Part II: Data Quality of Administrative Records and Linking Methodology 3 Evaluation of the Quality of Administrative Data Used in the Dutch Virtual Census 3.1 Introduction 3.2 Data Sources and Variables 3.3 Quality Framework 3.4 Quality Evaluation Results for the Dutch 2011 Census 3.5 Summary 3.6 Practical Implications for Implementation with Surveys and Censuses 3.7 Exercises References 4 Improving Input Data Quality in Register-Based Statistics: The Norwegian Experience 4.1 Introduction 4.2 The Use of Administrative Sources in Statistics Norway 4.3 Managing Statistical Populations 4.4 Experiences from the First Norwegian Purely Register-Based Population and Housing Census of 2011 4.5 The Contact with the Owners of Administrative Registers Was Put into System 4.6 Measuring and Documenting Input Data Quality 4.7 Summary 4.8 Exercises 4.A Example of a Quality Report for Registered Persons in the Central Population Register References 5 Cleaning and Using Administrative Lists: Enhanced Practices and Computational Algorithms for Record Linkage and Modeling/Editing/Imputation 5.1 Introductory Comments 5.2 Edit/Imputation 5.3 Record Linkage 5.4 Models for Adjusting Statistical Analyses for Linkage Error 5.5 Concluding Remarks 5.6 Issues and Some Related Questions References 6 Assessing Uncertainty When Using Linked Administrative Records 6.1 Introduction 6.2 General Sources of Uncertainty 6.3 Approaches to Accounting for Uncertainty 6.4 Concluding Remarks 6.5 Exercises Acknowledgment References 7 Measuring and Controlling for Non-Consent Bias in Linked Survey and Administrative Data 7.1 Introduction 7.2 Strategies for Measuring Linkage Non-Consent Bias 7.3 Methods for Minimizing Non-Consent