Reengineering the Survey of Income and Program Participation

Beginning in 2006, the Census Bureau embarked on a program to reengineer the Survey of Income and Program Participation (SIPP) to reduce its costs and improve data quality and timeliness. The Bureau also requested the National Academies to consider the advantages and disadvantages of strategies for linking administrative records and survey data, taking account of the accessibility of relevant administrative records, the operational feasibility of linking, the quality and usefulness of the linked data, and the ability to provide access to the linked data while protecting the confidentiality of individual respondents.
In response, this volume first examines the history of SIPP and reviews the survey's purpose, value, strengths, and weaknesses. The book examines alternative uses of administrative records in a reengineered SIPP and, finally, considers innovations in SIPP design and data collection, including the proposed use of annual interviews with an event history calendar.

Product details

• Authors: Division Of Behavioral And Social Scienc, Panel on the Census Bureau's Reengineere, Panel on the Census Bureau's Reengineered Survey of Income and Program Participation, Division of Behavioral and Social Sciences and Education, Committee on National Statistics, National Research Council
• Assisted by: Constance F Citro (Editor), John Karl Scholz (Editor), Constance F. Citro (Editor)
• Publisher: National Academies Press
• Content: Book
• Product form: Paperback / Softback
• Publication date: 26.10.2009
• Subject: Natural sciences, medicine, IT, technology > Mathematics > General, dictionaries; Social sciences, law, business > Media, communication > Communication science
• EAN: 9780309141734
• ISBN: 978-0-309-14173-4
• Pages: 188
• Dimensions (packing): 15.2 x 22.9 x 1.1 cm
• Weight (packing): 292 g
• Subjects: BUSINESS & ECONOMICS / Industries / General, MATHEMATICS / General, POLITICAL SCIENCE / Public Policy / Economic Policy, SOCIAL SCIENCE / Statistics, Mathematics, SCIENCE / Research & Methodology