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Suggested Citation:"References." National Research Council. 2009. Reengineering the Survey of Income and Program Participation. Washington, DC: The National Academies Press. doi: 10.17226/12715.
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Suggested Citation:"References." National Research Council. 2009. Reengineering the Survey of Income and Program Participation. Washington, DC: The National Academies Press. doi: 10.17226/12715.
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Suggested Citation:"References." National Research Council. 2009. Reengineering the Survey of Income and Program Participation. Washington, DC: The National Academies Press. doi: 10.17226/12715.
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References Abowd, John (2007). Assessing Disclosure Risk and Analytical Validity for the SIPP-SSA-IRS Public Use File Beta Version 4.1. PowerPoint presentation to the Panel on the Census Bureau’s Reengineered SIPP, Committee on National Statistics. Cornell University. Avail- able: http://www.census.gov/sipp/dews.html [accessed May 15, 2009]. ______ (2008). Assessing the Utility of Statistical Methods for Limiting Disclosure Risk: Value of Synthetic Data Sets. PowerPoint presentation to the Workshop on Collecting, Storing, Protecting, and Accessing Biological Data Collected in Social Surveys, National Research Council. Cornell University (November 18). An, D., and Roderick J.A. Little (2007). Multiple imputation: An alternative to top ­coding for statistical disclosure control. Journal of the Royal Statistical Society, Series A 170:923-940. Assistant Secretary for Planning and Evaluation (2005). Receipt of Unemployment Insurance Among Low-Income Single Mothers. ASPE Issue Brief. Washington, DC: U.S. Department of Health and Human Services. Available: http://aspe.hhs.gov/hsp/05/unemp-receipt/index. htm [accessed May 15, 2009]. ______ (2008). Indicators of Welfare Dependency: Annual Report to Congress 2008. Wash- ington, DC: U.S. Department of Health and Human Services. Available: http://aspe.hhs. gov/hsp/indicators08/index.shtml [accessed May 16, 2009]. Aughinbaugh, Allison, and Rosella M. Gardecki (2007). Attrition in the National Longitudinal Survey of Youth 1997. In Proceedings of the FCSM Research Conference. Washington, DC: Federal Committee on Statistical Methodology. Beebout, Harold, and John L. Czajka (2005). Improving our ability to estimate the impact of changes to the transfer system and measure economic well-being: The legacy of Pat Doyle’s early work. In Proceedings of the Joint Statistical Meetings. Alexandria, VA: American Statistical Association. Belli, Robert F. (1998). The structure of autobiographical memory and the event history cal- endar: Potential improvements in the quality of retrospective reports in surveys. Memory 6:383-406. 165

166 REENGINEERING THE SURVEY ______ (2007). Examining the Impact of Event History Calendar Interviewing on Data Quality from Disadvantaged Respondents. Prepared for Census-PSID Event History Conference, Washington, DC, and Ann Arbor: Institute for Social Research, University of Michigan (December). Available: http://psidonline.isr.umich.edu/Publications/Workshops/ ehc-07papers/Belli_­Census_EHC_Conference_final.pdf [accessed March 28, 2009]. Brown, Clair, John Haltiwanger, and Julia Lane (2006). Economic Turbulence—Is a Volatile Economy Good for America? Chicago: University of Chicago Press. Butricia, Barbara A., Howard M. Iams, and Karen E. Smith (2003). It’s All Relative: Under- standing the Retirement Prospects of Baby Boomers. Washington, DC: Urban Institute. Callegaro, Mario (2008). Seam effects in longitudinal surveys. Journal of Official Statistics 24(3, September):387-429. Callegaro, Mario, and Robert F. Belli (2007). Impact of the Event History Calendar on Seam Effects in the PSID: Lessons for SIPP. Prepared for Census-PSID Event History Con- ference, Washington, DC, and Ann Arbor: Institute for Social Research, University of Michigan (December). Available: http://psidonline.isr.umich.edu/Publications/­Workshops/ ehc-07papers/Callegaro_Belli_EHC_Census_conference_Submission.pdf [accessed March 28, 2009]. Carini, Robert M., John C. Hayek, George D. Kuh, John M. Kennedy, and Judith M. O ­ uimet (2003). College student responses to web and paper surveys. Research in Higher Education 44(1, February):1-19. Available: http://nsse.iub.edu/pdf/mode.pdf [accessed March 28, 2009]. Citro, Constance F. (2007). Opportunities and Challenges for the Reengineered SIPP. Power­ Point presentation to the Joint Statistical Meetings, Salt Lake City, UT. Committee on National Statistics, National Research Council, Washington, DC (August). Coder, John F. (1988). Comparisons of Alternative Annual Estimates of Wage and Salary Income from SIPP. Memorandum for Gordon Green, assistant division chief, Population Division, U.S. Census Bureau, Washington, DC (March 29). ______ (1992). Using administrative record information to evaluate the quality of income data collected in the Survey of Income and Program Participation. In Proceedings of Statistics Canada Symposium 92—Design and Analysis of Longitudinal Surveys. Ottawa: Statistics Canada. Coder, John F., and Lydia Scoon-Rogers (1996). Evaluating the Quality of Income Data Collected in the Annual Supplement to the March Current Population Survey and the Survey of Income and Program Participation. SIPP Working Paper 215, U.S. Census Bureau. Washington, DC: U.S. Department of Commerce (July). Available: http://www. sipp.census.gov/sipp/workpapr/wp215.pdf [accessed June 5, 2009]. Congressional Budget Office (2003). How Many People Lack Health Insurance and for How Long? (May 12). Washington, DC. Available: http://www.cbo.gov/ftpdocs/42xx/ doc4211/05-12-03-UninsuredBrief.pdf [accessed June 29, 2009]. Czajka, John L. (2007). Re-engineering SIPP: Some thoughts from a long time user. In Proceed- ings of the Joint Statistical Meetings. Alexandria, VA: American Statistical Association. Czajka, John L., and Gabrielle Denmead (2008). Income Data for Policy Analysis: A Com- parative Assessment of Eight Surveys. Prepared for the Office of the Assistant Secretary of Planning and Evaluation, U.S. Department of Health and Human Services (December). Washington, DC: Mathematica Policy Research. Czajka, John L., and James Mabli (2009). Analysis of Transition Events in Health Insurance Coverage (May). Washington, DC: Mathematica Policy Research. Czajka, John L., and Julie Sykes (2006). Health Insurance Coverage Dynamics Among Children and Nonelderly Adults, 1996-1999 (October). Washington, DC: Mathematica Policy Research.

REFERENCES 167 Czajka, John L., Jonathan E. Jacobson, and Scott Cody (2003). Survey Estimates of Wealth: A Comparative Analysis and Review of the Survey of Income and Program Participation (August). Washington, DC: Mathematica Policy Research. Czajka, John L., James Mabli, and Scott Cody (2008). Sample Loss and Survey Bias in Esti- mates of Social Security Beneficiaries: A Tale of Two Surveys (February). Washington, DC: Mathematica Policy Research. Dahl, Molly W., and John Karl Scholz (2005). The National School Lunch Program and School Breakfast Program: New Evidence on Participation and Noncompliance. Unpub- lished paper, University of Wisconsin–Madison. Davern, Michael, Gestur Davidson, Jeanette Ziegenfuss, Stephanie Jarosek, Brian Lee, Tzy-Chyi Yu, Timothy J. Beebe, Kathleen T. Call, and Lynn A. Blewett (2007). A Com- parison of the Health Insurance Coverage Estimates from Four National Surveys and Six State Surveys: A Discussion of Measurement issues and Policy Implications. Final report to the U.S. Department of Health and Human Services, Assistant Secretary for Planning and Evaluation and Agency for Healthcare Research and Quality (November). Minneapolis: State Health Access Data Assistance Center, University of Minnesota School of Public Health. Decesaro, Anne, and Jeffrey Hemmeter (2008). Characteristics of Noninstitutionalized DI and SSI Program Participants. Research and Statistics Note No. 2008-02, Office of Policy. Washington, DC: U.S. Social Security Administration. Available: http://www.ssa. gov/policy/docs/rsnotes/rsn2008-02.html [accessed June 29, 2009]. Decressin, Anja, Tomeka Hill, and Julia Lane (2006). Employer Provided Health Insurance: What Can Be Learned from the Form 5500? Final Report (January), U.S. Census Bureau. Washington, DC: U.S. Department of Commerce. Doyle, Pat, and Robert Dalrymple (1987). The impact of imputation procedures on distribu- tional characteristics of the low income population. In Proceedings of the Census Bureau Third Annual Research Conference. Washington, DC: U.S. Department of Commerce. Doyle, Pat, and Sharon K. Long (1988). The impact of the unit of analysis on measures of serial multiple program participation. In Individuals and Families in Transition: Under- standing Change Through Longitudinal Data. Paper presented at the Social Science Research Council Conference in Annapolis, Maryland, March 16-18. Washington, DC: U.S. Department of Commerce. Duncan, George T., and Diane Lambert (1989). The risk of disclosure for microdata. Journal of Business and Economic Statistics 7:207-217. Duncan, George T., Sally A. Keller-McNulty, and S. Lynne Stokes (2001). Disclosure Risk vs. Data Utility: The R-U Confidentiality Map. Technical report. Research Triangle Park, NC: National Institute of Statistical Sciences. Eargle, Judith (1990). Household Wealth and Asset Ownership: 1988. Current Population Reports, Household Economic Studies, Series P-70, No. 22, U.S. Census Bureau. Wash- ington, DC: U.S. Department of Commerce. ______ (2004). Sample Loss Rates through Wave 9 for the 2001 Panel. Memorandum for the SIPP Record 2004-01(March 2). U.S. Census Bureau, Washington, DC. Federal Committee on Statistical Methodology (1994). Report on Statistical Disclosure Limi- tation Methodology. Statistical Policy Working Paper 22 [revised 2005]. (NTIS PB94- 165305). Washington, DC: U.S. Office of Management and Budget. Fellegi, Ivan P., and A.B. Sunter (1969). A theory for record linkage. Journal of the American Statistical Association 64:1183-1210. Fields, Jason M., and Jeffrey C. Moore (2007). Description of Plans for a SIPP Calendar Validation Study: Study Design and Analysis. Prepared for Census-PSID Event History Conference, Washington, DC. Washington, DC: U.S. Census Bureau (December). Avail- able: http://psidonline.isr.umich.edu/Publications/Workshops/ehc-07papers/Fields%20an d%20Moore%20EHC-11-26-2007.pdf [accessed July 10, 2009].

168 REENGINEERING THE SURVEY Fisher, T. Lynn (2007). The impact of survey choice on measuring the relative importance of Social Security benefits to the elderly. Social Security Bulletin 67(2):55-64. Fitzgerald, John, Peter Gottschalk, and Robert Moffitt (1998). Analysis of sample attrition in panel data: The Michigan Panel Study of Income Dynamics. Journal of Human Resources 33(2):251-299. Food and Nutrition Service (1999). Current Population Survey of Analysis of NSLP Par- ticipation and Income. Nutrition Assistance Program Report Series, Office of Analysis, Nutrition, and Evaluation. Washington, DC: U.S. Department of Agriculture. Available: http://www.fns.usda.gov/ora/MENU/Published/CNP/FILES/nslpcps.pdf [accessed May 15, 2009]. Fuller, Wayne A. (1993). Masking procedures for microdata disclosure limitation. Journal of Official Statistics 9:383-406. Gbur, Philip M., Patrick J. Cantwell, and Rita J. Petroni (1990). Effect of telephone interview- ing on SIPP topical module and longitudinal estimates. Pp. 570-575 in Proceedings of the Survey Research Methods Section. Alexandria, VA: American Statistical Association. Glenn, David (2006). Social scientists protest plan to end federal study of income and hard- ship. Chronicle of Higher Education March 2. Goerge, Robert (2009). Employment Outcomes for Low-Income Families Receiving Child Care Subsidies in Illinois, Maryland, and Texas. Report to the U.S. Department of Health and Human Services. Chicago: University of Chicago. Gomatam, S., Alan F. Karr, Jerome P. Reiter, and A.P. Sanil (2005). Data dissemination and disclosure limitation in a world without microdata: A risk-utility framework for remote access servers. Statistical Science 20:163-177. Gottschalk, Peter, and Minh Huynh (2006). Are Earnings Inequality and Mobility Overstated? The Impact of Non-Classical Measurement Error. IZA Discussion Paper 2327. Available: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=937340 [accessed June 5, 2009]. Hotz, V. Joseph, and John Karl Scholz (2002). Measuring employment and income outcomes for low-income populations with administrative and survey data. Pp. 275-315 in National Research Council, Studies of Welfare Populations: Data Collection and Research Issues. Panel on Data and Methods for Measuring the Effects of Changes in Welfare Programs, Michele Ver Ploeg, Robert A. Moffitt, and Constance Citro, Eds. Committee on National Statistics, Division of Behavioral and Social Sciences and Education. Washington, DC: National Academy Press. Hotz, V. Joseph, Charles H. Mullin, and John Karl Scholz (2003). Examining the Effect of the Earned Income Tax Credit on the Labor Market Participation of Families on Welfare. Department of Economics, Duke University. Available: http://www.econ.duke.edu/~vjh3/ working_papers/EITC2.pdf [accessed May 15, 2009]. ________ (2005). Trends in EITC Take-Up and Receipt for California’s Welfare Population, 1992-1999. Department of Economics, Duke University. Available: http://www.econ. duke.edu/~vjh3/working_papers/EITC3.pdf [accessed May 15, 2009]. Huggins, Vickie, and Robert Fay (1988). Use of administrative data in SIPP longitudinal estimation. Pp. 354-359 in Proceedings of the Section on Survey Research Methods. Alexandria, VA: American Statistical Association. Huynh, Minh, Kalman Rupp, and James Sears (2001). The assessment of Survey of Income and Program Participation (SIPP) benefit data using longitudinal administrative records. In Proceedings of the FCSM Research Conference. Washington, DC: Federal Commit- tee on Statistical Methodology. Also available as SIPP Working Paper No. 238 (2002): http://www.census.gov/sipp/workpapr/wp238.pdf [accessed May 15, 2009]. Iams, Howard M., and Steven H. Sandell (1996). Past is prologue: Simulating lifetime Social Security earnings for the twenty-first century. In Proceedings of the U.S. Bureau of the Census 1996 Annual Research Conference (March). Washington, DC: U.S. Department of Commerce.

REFERENCES 169 Jabine, Thomas B., Karen E. King, and Rita J. Petroni (1990). Survey of Income and Program Participation: Quality Profile. U.S. Census Bureau. Washington, DC: U.S. Department of Commerce. James, Tracey L. (1997). Results of the wave incentive experiment in the 1996 Survey of Income and Program Participation. In Proceedings of the Joint Statistical Meetings (August, Anaheim, CA). Alexandria, VA: American Statistical Association. Johnson, David (2008). The SIPP: The Evolution of a Phoenix. PowerPoint presentation to the Population Association of America, New Orleans. U.S. Census Bureau, Washington, DC (April). Available: http://www.census.gov/sipp/dews.html [accessed May 15, 2009]. Kasprzyk, Daniel (1983). Social Security number reporting, the use of administrative records, and the multiple frame design in the Income Survey Development Program. Pp. 123-141 in Martin H. David, Ed., Technical, Conceptual, and Administrative Lessons of the Income Survey Development Program (ISDP): Papers Presented at a Conference. New York: Social Science Research Council. ______ (1988). Outline of questions in Committee on National Statistics proposal to evaluate the Survey of Income and Program Participation. Unpublished memorandum to Margaret E. Martin, U.S. Census Bureau, Washington, DC. Kennickell, Arthur B. (2006). A rolling tide: Changes in the distribution of wealth in the U.S., 1989-2001. In Edward N. Wolff, Ed., International Perspectives on Household Wealth. Cheltenham, UK: Edward Elgar. Koenig, Melissa L. (2003). An assessment of the Current Population Survey and the Survey of Income and Program Participation using Social Security administrative data. In Pro- ceedings of the FCSM Research Conference. Washington, DC: Federal Committee on Statistical Methodology. Lamas, Enrique, Jan Tin, and Judith Eargle (1994). The Effect of Attrition on Income and Poverty Estimates from the Survey of Income and Program Participation. Paper pre- sented at the Conference on Attrition in Longitudinal Surveys. U.S. Census Bureau, U.S. Department of Commerce, Washington, DC. Lambert, Diane (1993). Measures of disclosure risk and harm. Journal of Official Statistics 9:313-331. Lepkowski, James M., Steven G. Pennell, David P. Miller, Elma Luis, and Graham Kalton (1992). Time in Panel Effects in the SIPP. Prepared for the U.S. Census Bureau, SIPP Working Paper No. 172. Ann Arbor, MI: Institute for Social Research, University of Michigan. Available: http://www.census.gov/sipp/workpapr/wp172.pdf [accessed Septem­ ber 4, 2009] Little, Roderick J.A. (1993). Statistical analysis of masked data. Journal of Official Statistics 9:407-426. Logan, Weltha J., Daniel Kasprzyk, and Roger Cavanaugh (1988). A Methodological Study Using Administrative Records: The Special Frames Study of the Income Survey Develop- ment Program. SIPP Working Paper No. 8814, U.S. Census Bureau. Washington, DC: U.S. Department of Commerce. Lynch, Victoria, Dean M. Resnick, Jane Staveley, and Cynthia M. Taeuber (2008). Differ- ences in Estimates of Public Assistance Recipiency between Surveys and Administrative Records. Prepared for the Family Investment Administration, Maryland Department of Human Resources (January). Washington, DC, and Baltimore, MD: U.S. Census Bureau and The Jacob France Institute, University of Baltimore. Available: http://www. jacob-france-institute.org/publications.php [accessed September 4, 2009]. Marquis, Kent, and Jeffrey Moore (1989). Response errors in SIPP: Preliminary results. Pp. 515-536 in Proceedings of the Bureau of the Census Fifth Annual Research Conference. Washington, DC: U.S. Department of Commerce.

170 REENGINEERING THE SURVEY ________ (1990a). Measurement errors in SIPP program reports. Pp. 721-745 in Proceedings of the Bureau of the Census Sixth Annual Research Conference. Washington, DC: U.S. Department of Commerce. ________ (1990b). SIPP Record Check Final Report. Draft. Bureau of the Census, Washing- ton, DC. McKee, Nat, and Zelda McBride (2008). SIPP Imputation Scheme and Discussion Items. PowerPoint presentation to the ASA/SRM SIPP Working Group Meeting (September 16). U.S. Census Bureau, Washington, DC. Meyer, Bruce, D. Wallace, K.C. Mok, and James X. Sullivan (2009). The Under-Reporting of Transfers in Household Surveys: Its Nature and Consequences. Working Paper 0903 (February). Chicago: Harris School of Public Policy Studies, University of Chicago. Moore, J., J. Fields, J. Pascale, G. Benedetto, M. Stinson, and A. Chan (2009). A Comparison of Survey Reports Obtained via Standard Questionnaire and Event History Calendar. Paper presented at the Annual Meeting of the American Association for Public Opinion Research, Hollywood, FL, May 14-17. National Research Council (1989). The Survey of Income and Program Participation: An Interim Assessment. Committee on National Statistics. Washington, DC: National Acad- emy Press. ______ (1993). The Future of the Survey of Income and Program Participation. Panel to Evalu- ate the Survey of Income and Program Participation, Constance F. Citro and Graham Kalton, Eds. Committee on National Statistics, Commission on Behavioral and Social Sciences and Education. Washington, DC: National Academy Press. ______ (2001). Evaluating Welfare Reform in an Era of Transition. Panel on Data and ­Methods for Measuring the Effects of Changes in Social Welfare Programs, Robert A. Moffitt and Michele Ver Ploeg, Eds. Committee on National Statistics, Division of ­ Behavioral and Social Sciences and Education. Washington, DC: National Academy Press. ______ (2004a). Reengineering the 2010 Census: Risks and Challenges. Panel on Research on Future Census Methods, Daniel L. Cork, Michael L. Cohen, and Benjamin F. King, Eds. Committee on National Statistics, Division of Behavioral and Social Sciences and Education. Washington, DC: The National Academies Press. ______ (2004b). The 2000 Census: Counting Under Adversity. Panel to Review the 2000 Census, Constance F. Citro, Daniel L. Cork, and Janet L. Norwood, Eds. Committee on National Statistics, Division of Behavioral and Social Sciences and Education. Washing- ton, DC: The National Academies Press. ______ (2005). Expanding Access to Research Data: Reconciling Risks and Opportunities. Panel on Data Access for Research Purposes, Committee on National Statistics, Divi- sion of Behavioral and Social Sciences and Education. Washington, DC: The National Academies Press. ______ (2007). Putting People on the Map: Protecting Confidentiality with Linked Social- Spatial Data. Panel on Confidentiality Issues Arising from the Integration of Remotely Sensed and Self-Identifying Data, Committee on the Human Dimensions of Global Change. Division of Behavioral and Social Sciences and Education. Washington DC: The National Academies Press. Newcombe, Howard B., J.M. Kennedy, S.J. Axford, and A.P. James (1959). Automatic linkage of vital records. Science 130:954-959. Parker, Jennifer D., and Nathaniel Schenker (2007). Multiple imputation for national ­public- use datasets and its possible application for gestational age in U.S. natality files. ­Paediatric and Perinatal Epidemiology 21(s2):97-105. Passel, Jeffrey S. (2006). The Size and Characteristics of the Unauthorized Migrant Popula- tion in the United States. Washington, DC: Pew Hispanic Center (March 7). Available: http://pewhispanic.org/reports/report.php?ReportID=61 [accessed May 15, 2009].

REFERENCES 171 Pierret, Charles, Alison Aughinbaugh, A. Rupa Datta, and Tricia Gladen (2007). Event ­History Data: Lessons from the NLSY97. Prepared for Census-PSID Event History Conference, December, Washington, DC. Available: http://psidonline.isr.umich.edu/­Publications/­ Workshops/ehc-07papers/Aughinbaugh%20EHC.pdf [accessed March 28, 2009]. Raghunathan, T.E., J.M. Lepkowski, J. van Hoewyk, and P. Solenberger (2001). A multi­variate technique for multiply imputing missing values using a series of regression models. Survey Methodology 27:85-96. Reese, Kanin L. (2007). An Analysis of the Characteristics of Multiple Program Participation Using the Survey of Income and Program Participation (SIPP). SIPP Working Paper 246, U.S. Census Bureau. Washington, DC: U.S. Department of Commerce. Reiter, Jerome P. (2003). Inference for partially synthetic, public use microdata sets. Survey Methodology 29:181-189. ______ (2004). New approaches to data dissemination: A glimpse into the future. Chance 17(3):12-16. ______ (2005). Estimating identification risks in microdata. Journal of the American Statistical Association 100:1103-1113. Reiter, Jerome P., and R. Mitra (2009). Estimating risks of identification disclosure in partially synthetic data. Journal of Privacy and Confidentiality 1(1):99-110. Reiter, Jerome P., A. Oganian, and Alan F. Karr (2009). Verification servers: Enabling analysts to assess the quality of inferences from public use data. Computational Statistics and Data Analysis 53:1475-1482. Roemer, Marc I. (2000). Assessing the Quality of the March Current Population Survey and the Survey of Income and Program Participation Income Estimates, 1990-1996. Hous- ing and Household Economic Statistics Division Working Paper. U.S. Census Bureau (July). Washington, DC: U.S. Department of Commerce. Available: http://www.census. gov/hhes/www/income/assess1.pdf [accessed June 5, 2009]. ______ (2002). Using Administrative Earnings Records to Assess Wage Data Quality in the March Current Population Survey and the Survey of Income and Program Participation. Longitudinal Employer-Household Dynamics Technical Paper No. TP-2002-22 (Novem- ber), U.S. Census Bureau. Washington, DC: U.S. Department of Commerce. Rubin, Donald B. (1987). Multiple Imputation for Nonresponse in Surveys. New York: John Wiley & Sons. Sastry, Narayan, Anne Pebley, and Christine Peterson (2007). The Design and Use of an Event History Calendar in the Los Angeles Family and Neighborhood Survey: Results and ­ essons). Prepared for Census-PSID Event History Conference, December, Washington, L DC. Available: http://psidonline.isr.umich.edu/Publications/­Workshops/ehc-07papers/ LAFANS%20EHC%20Paper%20Draft%202.pdf [accessed March 28, 2009]. Schafer, Joseph L. (1997). Analysis of Incomplete Multivariate Data. London: Chapman & Hall. Schenker, Nathaniel, Trivellore E. Raghunathan, Pei-Lu Chiu, Diane M. Makuc, Guangyu Zhang, and Alan J. Cohen (2006). Multiple imputation of missing income data in the National Health Interview Survey. Journal of the American Statistical Association 101:924-933. Scholz, John Karl (1994). The Earned Income Tax Credit: Participation, compliance, and anti- poverty effectiveness. National Tax Journal March:59-81. Stinson, Martha (2008). Research on Improvements to Current SIPP Imputation Methods. PowerPoint presentation to the ASA-SRM SIPP Working Group (September), U.S. Census Bureau, Washington, DC. Available: http://www.census.gov/sipp/dews.html [accessed May 15, 2009].

172 REENGINEERING THE SURVEY Sylvester, Douglas J., with Kirk J. Bardin and Jessica M. Wann (2008). Final Report and Find- ings: Legal Analysis of Proposed “DEWS” Program and Access to State-Held Records. Prepared for the Committee on National Statistics Panel on the Census Bureau’s Reengi- neered SIPP (March 2). Center for the Study of Law, Science, and Technology, Arizona State University, Tempe. Taeuber, Cynthia, Dean M. Resnick, Susan P. Love, Jane Stavely, Parke Wilde, and Richard Larson (2004). Differences in Estimates of Food Stamp Program Participation Between Surveys and Administrative Records. Working Paper. Washington, DC: U.S. Census Bureau. University of Texas and U.S. Census Bureau (2008). Agreement Between Ray Marshall ­Center for the Study of Human Resources at the University of Texas at Austin (RMC) and the U.S. Census Bureau for Use of Confidential Texas Administrative Records (June). Unpublished. Urban Institute (2006). Children of Immigrants: Facts and Figures. Fact Sheet, The Urban Institute, Washington, DC (May). Available: http://www.urbaninstitute.org/­ UploadedPDF/900955_children_of_immigrants.pdf [accessed May 16, 2009]. Urban Institute/NORC Evaluation Team (2009). SSA/SIPP/IRS Synthetic Beta File Analytic Evaluation. Working Papers. Prepared for the Social Security Administration (March 31). Washington, DC: The Urban Institute. U.S. Census Bureau (1998). SIPP Quality Profile, 3rd edition. SIPP Working Paper No. 230. Prepared by Graham Kalton, Westat, Inc., for the U.S. Census Bureau. Washington, DC: U.S. Department of Commerce. _______ (2002). Current Population Survey Technical Paper 63RV: Design and Methodology (March). Washington, DC: U.S. Department of Commerce. U.S. General Accounting Office (1999). Survey Methodology—An Innovative Technique for Estimating Sensitive Survey Items. Staff Study. Washington, DC: U.S. Government Printing Office (November). Available: http://www.gao.gov/archive/2000/gg00030.pdf [accessed May 17, 2009]. Vaughan, Denton R. (1993). Reflections on the income estimates from the initial panel of the Survey of Income and Program Participation (SIPP). Studies in Income Distribution, No. 17 (May). Washington, DC: Social Security Administration. _______ (2007). Factors that Facilitated and Inhibited Job-holding Among Female AFDC/ TANF Recipients in 1996. SIPP Working Paper No. 247. Prepared for the Housing and Household Economic Statistics Division, U.S. Bureau of the Census. Washington, DC: U.S. Department of Commerce. Available: http://www.census.gov/sipp/workpapr/wp247. pdf [accessed June 5, 2009]. Vaughan, Denton, and Fritz Scheuren (2002). Longitudinal attrition in SIPP and SPD. In Proceedings of the Social Statistics Section. Alexandria, VA: American Statistical Association. Wagner, Deborah (2007). Person SSN Validation System (PVS). PowerPoint presentation to a working group of the Committee on National Statistics Panel on the Census Bureau’s Reengineered SIPP (March 7). U.S. Bureau of the Census, Washington, DC. Warner, Stanley L. (1965). Randomized response: A survey technique for eliminating evasive answer bias. Journal of the American Statistical Association 60:63-69. Wheaton, Laura (2007). Underreporting of Means-Tested Transfer Programs in the CPS and SIPP. Paper presented to the Joint Statistical Meetings, Salt Lake City, UT (August). The Urban Institute, Washington, DC. Winkler, William E. (2006). Overview of Record Linkage and Current Research Activities. Research Report Series #2006-2. Statistical Research Division, U.S. Census Bureau. Washington, DC: U.S. Department of Commerce.

REFERENCES 173 Wolff, Edward N. (1999). The size distribution of wealth in the United States: A comparison among recent household surveys. In James P. Smith and Robert J. Willis, Eds., Wealth, Work, and Health: Innovations in Measurement in the Social Sciences. Essays in Honor of F. Thomas Juster. Ann Arbor: University of Michigan Press. Ycas, Martynas A., and Charles A. Lininger (1983). The Income Survey Development Pro- gram: Design features and initial findings. Pp. 25-36 in Martin David, Ed., Technical, Conceptual, and Administrative Lessons of the Income Survey Development Program (ISDP): Papers Presented at a Conference. New York: Social Science Research Council. Zabel, Jeffrey E. (1998). An analysis of attrition in the Panel Study of Income Dynamics and the Survey of Income and Program Participation with an application to a model of labor market behavior. Journal of Human Resources 33(2):479-506. Zedlewski, Sheila, and Linda Giannarelli (2001). Diversity Among State Welfare Programs: Implications for Reform. New Federalism: Issues and Options for States. Washington, DC: Urban Institute. Zimmermann, Wendy, and Laura Tumlin (1998). Immigrants and Public Benefits: State Poli- cies and Trends. Washington, DC: Urban Institute.

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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.

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