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Reiter, J. (2022, October). Accounting for uncertainty in record linkage [Presentation]. Presentation to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

Rothbaum, J. (2022, July 12). National experimental well-being statistics [Presentation]. Presentation to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

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Wheat, C. (2022, October 4,). Assessing economic policy with banking data [Presentation]. Presentation to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

CHAPTER 5

Aguiar, M., & Bils, M. (2015). Has consumption inequality mirrored income inequality? American Economic Review, 105(9), 2725–2756. https://doi.org/10.1257/aer.20120599

Alattar, L., Messel, M., & Rogofsky, D. (2018). An introduction to the Understanding America Study Internet Panel, Social Security Bulletin, 78(2), 13–28. https://ssrn.com/abstract=3176516

Angrisani, M., Kapteyn, A., & Samek, S. (2021, January 3). Real time measurement of household financial electronic transactions in a population representative panel [Presentation]. Presentation at Annual AEASTAT Meeting. San Francisco, CA. https://www.aeaweb.org/conference/2021/preliminary/2039

Angrisani, M., Kapteyn, A., & Samek, S. (2023). Real time measurement of household financial electronic transactions in a population representative panel: A pilot study. Field Methods, 35(4) 303–317. https://doi.org/10.1177/1525822X231195521

Aspachs, O., Durante, R., Graziano, A., Mestres, J., Montalvo, J., & Reynal-Querol, M. (2022). Real-time inequality and the welfare state in motion: Evidence from COVID-19 in Spain. Economic Policy, 37(109), 165–199. https://doi.org/10.1093/epolic/eiac008

Baker, S. (2018). Debt and the consumption response to household income shocks: Validation and application of linked financial account data. Journal of Political Economy, 126(4), 1504–1557. https://www.jstor.org/stable/26550504

Batch, A., Bridgman. B., Dunn, A., & Gholizadeh, M. (2023). Consumption zones (U.S. Bureau of Economic Analysis Working Paper WP2023-3). https://www.bea.gov/system/files/papers/BEA-WP2023-3.pdf

Batty, M., Bricker, J., Briggs, J., Holmquist, E., McIntosh, S., Moore, K., Nielsen, E., Reber, S., Shatto, M., Sommer, K., Sweeney, T., & Volz, A. H. (2019). Introducing the Distributional Financial Accounts of the United States (Finance and Economics Discussion Series No. 2019-017). Board of Governors of the Federal Reserve System. https://www.federalreserve.gov/econres/feds/introducing-the-distributional-financial-accounts-of-the-united-states.htm

Bee, A., Gathright, G., & Meyer, B. (2015). Bias from unit non-response in the measurement of income in household surveys (Working Paper). U.S. Census Bureau. https://harris.uchicago.edu/files/jsm2015_bgm_unit_non-response_in_cps.pdf

Bee, A., Meyer, B., & Sullivan, J. (2012). The validity of consumption data: Are the Consumer Expenditure Interview and Diary Surveys informative? (NBER Working Paper No. 18308). National Bureau of Economic Research. https://www.nber.org/system/files/working_papers/w18308/w18308.pdf

Bee, A., & Mitchell, J. (2017). Do older Americans have more income than we think? (SEHSD Working Paper No. 2017-39). U.S. Census Bureau. https://www.census.gov/content/dam/Census/library/working-papers/2017/demo/SEHSD-WP2017-39.pdf?mod=article_inline

Bee, A., Mitchell, J., Mittag, N., Rothbaum, J., Sanders, C., Schmidt, L., & Unrath, M. (2023). National Experimental Wellbeing Statistics Version 1 (SEHSD Working Paper 2023-02). U.S. Census Bureau. https://www2.census.gov/library/working-papers/2023/adrm/ces/CES-WP-23-04.pdf

Bee, A., & Rothbaum, J. (2019). The Administrative Income Statistics (AIS) Project: Research on the use of Census Bureau administrative records to improve income and resource estimates (SEHSD Working Paper No. 2019-36). U.S. Census Bureau. https://www.census.gov/library/working-papers/2019/demo/SEHSDWP2019-36.html

Blanchet, T., Saez, E., & Zucman, G. (2022). Real-time inequality (NBER Working Paper No. 30229). National Bureau of Economic Research. https://www.nber.org/system/files/working_papers/w30229/w30229.pdf

Blundell, R., Pistaferri, L., & Preston, I. (2008). Consumption inequality and partial insurance. American Economic Review, 98(5), 1887–1921. https://www.jstor.org/stable/29730156

Bollinger, C., Hirsch, B., Hokayem, C., & Ziliak, J. (2018). Trouble in the tails? What we know about earnings nonresponse thirty years after Lillard, Smith and Welch. Journal of Political Economy, 127(5), 2143-2185. https://doi.org/10.1086/701807

Borzekowski, R. (2022, October 25). Linked data in the National Mortgage Database [Presentation]. Presentation to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

Brady, P., & Bass, S. (2023). When I’m 64 (or thereabouts): Changes in income from middle age to old age (Working Paper). Investment Company Institute. https://www.ici.org/system/files/2023-05/when-im-64-brady-bass-2305.pdf

Brown, D. (2022, October 25). Linked data in the National Mortgage Database [Presentation]. Presentation to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

Brown, D., Cohen, S., Denoeux, G., Dorinski, S., Heggeness, M., Lieberman, C., & McBride, L. (2023). Real-Time 2020 Administrative Record Census Simulation (Version 1.0). https://www.census.gov/programs-surveys/decennial-census/decade/2020/planning-management/evaluate/eae/2020-admin-record-census-simulation.html

Brummet, Q., Flanagan-Doyle, D., Mitchell, J., Voorheis, J., Erhard, L., & McBride, B. (2018). Investigating the use of administrative records in the Consumer Expenditure Survey (CARRA Working Paper 2018-01). U.S. Census Bureau. https://www.census.gov/library/working-papers/2018/adrm/carra-wp-2018-01.html

Bucks, B. (2022, October 4). Credit Bureau data as a basis for consumer finance surveys [Presentation]. Presentation to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

Buda, G., Carvalho, V., Hansen, S., Ortiz, A., Rodrigo, T., & Rodriguez Mora, S. (2022). National accounts in a world of naturally occurring data: A proof of concept for consumption (CEPR Discussion Paper No. DP17519). Centre for Economic Policy Research. https://cepr.org/publications/dp17519

Burkhauser, R., Feng, S., Jenkins, S., & Larrimore, J. (2012). Recent trends in top income shares in the USA: Reconciling estimates from March CPS and IRS tax return data (NBER Working Paper No. 15320). National Bureau of Economic Research. https://www.nber.org/system/files/working_papers/w15320/w15320.pdf

Chetty, R., Hendren, N., Jones, M., & Porter, S. (2018). Race and economic opportunity in the United States: An intergenerational perspective (NBER Working Paper No. 24441). National Bureau of Economic Research. https://www.nber.org/system/files/working_papers/w24441/w24441.pdf

Chetty, R., Hendren, N., Kline, P., & Saez, E. (2014). Where is the land of opportunity? The geography of intergenerational mobility in the United States (NBER Working Paper No. 19843). National Bureau of Economic Research. https://www.nber.org/system/files/working_papers/w19843/w19843.pdf

Deaver, K. (2021). Administrative data used in the 2020 Census. U.S. Census Bureau. https://www2.census.gov/programs-surveys/decennial/2020/program-management/planning-docs/administrative-data-used-in-the-2020-census.pdf

Dettling, L., Devlin-Foltz, S., Krimmel, J., Pack, S., & Thompson, J. (2015) Comparing micro and macro sources for household accounts in the United States: Evidence from the survey of consumer finances (FEDS Working Paper No. 2015-086). Federal Reserve Board. http://dx.doi.org/10.17016/FEDS.2015.086

EG-DNA (2023, January). Updates on EG-DNA [Presentation]. Presentation at the OECD Expert Group on Disparities in a National Accounts Framework.

Ehrlich, G., Haltiwanger, J., Jarmin, R., Johnson, D., Olivares, E., Pardue, L., Shapiro, M., & Zhao, L. (2023). Quality adjustment at scale: Hedonic versus exact demand-based price indices (NBER Working Paper No. 31309). National Bureau of Economic Research. https://ebp-projects.isr.umich.edu/reset/papers/Price_Quantity_Scale.pdf

Engel, J., Riera, P. G., Grilli, J., & Sola, P. (2022, July). Developing reconciled quarterly distributional national wealth – insight into inequality and wealth structures (Working Paper No. 2687). European Central Bank. https://www.oecd.org/sdd/na/household-distributional-results-in-line-with-national-accounts-experimental-statistics.htm

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Fagereng, A., Guiso, L., Malacrino, D., & Pistaferri., L. (2016). Heterogeneity in returns to wealth and the measurement of wealth inequality. American Economic Review, 106(5), 651–655. https://www.aeaweb.org/articles/pdf/doi/10.1257/aer.p20161022

Feiveson, L., & Sabelhaus, J. (2018). How does intergenerational wealth transmission affect wealth concentration. FEDS Notes. Board of Governors of the Federal Reserve System. https://ssrn.com/abstract=3196446

Fisher, J., Johnson, D., & Smeeding, T. (2015). Inequality of income and consumption in the U.S.: Measuring the trends in inequality from 1984 to 2011 for the same individuals. Review of Income and Wealth, 61, 630 -650, https://doi.org/10.1111/roiw.12129

Fisher, J., Johnson, D., Smeeding, T., & Thompson, J. (2022). Inequality in 3-D: Income, consumption, and wealth. Review of Income and Wealth, 68(1). https://doi.org/10.1111/roiw.12509

Flaxman, A. (2022, October 25). Challenges in linking data [Presentation]. Presentation to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

Friedman, J. (2022, October 4). Commercial data to inform policy and research: Examples from the OI Economic Tracker [Presentation]. Presentation to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

Gabaix, X., Koijen, R., Mainardi, F., Oh, S., & Yogo, M. (2022). Asset demand of U.S. households. SSRN. https://scholar.harvard.edu/xgabaix/publications/asset-demand-us-households

Garner, T., Matsumoto, B., Schild, J., Curtin, S., & Safir, A. (2023). Developing a consumption measure, with examples of use for poverty and inequality analysis: A new research product from BLS. Monthly Labor Review. U.S. Bureau of Labor Statistics. https://doi.org/10.21916/mlr.2023.8

Garner, T., & Short, K. (2009). Accounting for owner-occupied dwelling services: Aggregates and distributions. Journal of Housing Economics, 18(3), 233–248. https://doi.org/10.1016/j.jhe.2009.07.004

Garner, T. & Short, K. (2013). A multi-dimensional measure of economic well-being for the U.S.: The Material Condition Index. U.S. Bureau of Labor Statistics. https://www.bls.gov/cex/research_papers/pdf/garner-and-short-jsm-proceedings-template-with-page-nums.pdf

Gelman, M., Kariv, S., Shapiro, M., Silverman, D., & Tadelis, S. (2014). Harnessing naturally occurring data to measure the response of spending to income. Science, 345(6193), 212–215. https://doi.org/10.1126%2Fscience.1247727

Genadek, K. & Alexander, J. (2019). The Decennial Census Digitization and Linkage Project (ADEP Working Paper No. 2019-01). U.S. Census Bureau. https://www.census.gov/content/dam/Census/library/working-papers/2019/econ/dcdl-workingpaper.pdf

Gilyard, S., & Schuh, S. (2023). New evidence on consumption and income dynamics from a consumer payment diary (WVU Working Paper). West Virginia University. https://www.aeaweb.org/conference/2024/program/paper/HEHNAzBB

Gindelsky, M., & Martin, R. (2023, July 16). What money can buy: A joint distribution of personal income and personal consumption expenditures [Conference session]. The 63rd Institute for Sustainable Infrastructure Annual Conference. Ottawa, Canada.

Gindelsky, M., Moulton, J., & Wentland, S. (2020). Valuing housing services in the era of big data: A user cost approach leveraging Zillow Microdata. In K. Abraham, R. Jarmin, B. Moyer, & M. Shapiro (Eds.), Big data for twenty-first-century economic statistics (pp. 339–370). University of Chicago Press. http://www.nber.org/chapters/c14274

Government Accountability Office. (2023). Work arrangements: Improved collaboration could enhance labor force data (Working Paper No. 24-105651). https://www.gao.gov/products/gao-24-105651

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Hansen, S. (2022, October 4). National accounts in a world of naturally occurring data: a proof of concept for consumption [Presentation]. Presentation to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

Hastings, J., Kessler, R., & Shapiro. J. (2021). The effect of SNAP on the composition of purchased foods: Evidence and implications. American Economic Journal: Economic Policy, 13(3), 277–315. https://www.aeaweb.org/articles/pdf/doi/10.1257/pol.20190350

Heathcote, J., Perri, F., Violante, G., Zhang, L. (2023). More unequal we stand? inequality dynamics in the United States 1967–2021 (Working Paper No. 31486). National Bureau of Economic Research. http://www.nber.org/papers/w31486

Hong, A., Meyer, B., Murphy, C., Sullivan, J., & Wu, D. (2023). Measuring economic security using linked consumer expenditure and administrative data [Conference session]. The 5th Annual Meeting of the Retirement and Disability Research Consortium. Virtual.

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Jones, M., Bee, A., Eng, A., Houghton, K., Pharris-Ciurej, N., Porter, S., Rothbaum, J., & Voorheis, J. (2023, October 27). The measurement of income growth, mobility, and volatility in the U.S. by race-ethnicity and gender [Presentation]. Presentation to National Bureau of Economic Research Conference. Cambridge, MA.

Kondo, I., Rinz, K., Voorheis, J., & Wozniak, A. (2023, October 27). A more equal union? A new source on income distributions for U.S. communities defined by race, place, and ethnicity [Presentation]. Presentation to National Bureau of Economic Research Conference. Cambridge, MA.

Larrimore, J., Mortenson, J., & Splinter, D. (2021). Household incomes in tax data: Using addresses to move from tax-unit. Journal of Human Resources, 56(2), 600–631. https://doi.org/10.3368/jhr.56.2.0718-9647R1

Larrimore, J., Mortenson, J., & Splinter, D. (2022, July 12). Strengths and limitations of tax data for distributional estimates [Presentation]. Presentation to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

Levy, H. (2023). [How should health insurance transfers be included in income measurement?] Paper commissioned for the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

Medalia, C., Meyer, B., O’Hara, A., & Wu, D. (2019). Linking survey and administrative data to measure income, inequality, and mobility. International Journal of Population Data Science, 4(1). https://ijpds.org/article/view/939

Meyer, B. (2022, July 12). The Comprehensive Income Dataset Project: Using linked data to improve income and consumption measurement [Presentation]. Presentation to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

Meyer, B., Mok, W., & Sullivan, J. (2015). Household surveys in crisis. Journal of Economic Perspectives, 29(4), 199–226. https://www.aeaweb.org/articles/pdf/doi/10.1257/jep.29.4.199

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National Academies of Sciences, Engineering, and Medicine (2022). Modernizing the Consumer Price Index for the 21st century. The National Academies Press. https://doi.org/10.17226/26485

___. (2023a). Toward a 21st century national data infrastructure: Enhancing survey programs by using multiple data sources. The National Academies Press. https://doi.org/10.17226/26804

___. (2023b). Reducing intergenerational poverty. The National Academies Press. https://doi.org/10.17226/27058

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Olafsson, A., & Pagel, M. (2018). The liquid hand-to-mouth: Evidence from personal finance management software. Review of Financial Studies, 31(11), 4398–4446. https://doi.org/10.1093/rfs/hhy055

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Pfeffer, F. (2022, July 12). The wealth and mobility study [Comment]. Comment to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

Pfeffer, F., & Killewald, A. (2018). Generations of advantage: Multigenerational correlations in family wealth. Social Forces, 96(4). https://doi.org/10.1093%2Fsf%2Fsox086

Piketty, T., Saez, E., & Zucman, G. (2018). Distributional national accounts: Methods and estimates for the United States. The Quarterly Journal of Economics, 133(2), 553–609. https://doi.org/10.1093/qje/qjx043

Quinby, L. (2023, January 30). Comments on an integrated system of household income, wealth, and consumption data and statistics to inform policy and research [Presentation]. Presentation to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

Ratcliffe, M. (2021). Frames Program overview. U.S. Bureau of the Census.

Rothbaum, J. (2022, July 12). The National Experimental Wellbeing Statistics [Presentation]. Presentation to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

Sabelhaus, J., Johnson, D., Ash, S., Swanson, D., Garner, T., Greenlees, J., & Henderson, S. (2013). Is the Consumer Expenditure Survey representative by income? (NBER Working Paper No. 19589). National Bureau of Economic Research. https://doi.org/10.3386/w19589

Sabelhaus, J., & Park, S. (2020). U.S. income inequality is worse and rising faster than policymakers probably realize (Issue Brief: Tax & Macroeconomics). Washington Center for Equitable Growth. https://equitablegrowth.org/wp-content/uploads/2020/05/052720-income-ineq-ib.pdf

Sabelhaus, J., & Volz, A. (2019). Social Security wealth, inequality, and lifecycle saving (NBER Working Paper No. 27110). National Bureau of Economic Research. https://www.nber.org/papers/w27110

Saez, E., & Zucman. G. (2016). Wealth inequality in the United States since 1913: Evidence from capitalized income tax data, The Quarterly Journal of Economics, 131(2), 519–578. https://doi.org/10.1093/qje/qjw004

___. (2020a). The rise of income and wealth inequality in America: Evidence from distributional macroeconomic accounts. Journal of Economic Perspectives, 34(4), 3–26. https://www.aeaweb.org/articles/pdf/doi/10.1257/jep.34.4.3

___. (2020b). Trends in U.S. income and wealth inequality: Revising after the revisionists (NBER Working Paper No. 27921). National Bureau of Economic Research. https://doi.org/10.3386/w27921

Shapiro, M. D. (2022, October 4). Using naturally-occurring data from businesses and households to measure wealth, spending, income, and prices [Presentation]. Presentation to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

Simon, K., & Carpenter, R. (2023). [Measuring the value of health insurance for individuals and families]. Paper commissioned for the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

Smith, M., Zidar, O., & Zwick, E. (2023, February). Top wealth in America: New estimates under heterogeneous returns. The Quarterly Journal of Economics, 138(1), 515–573. https://doi.org/10.1093/qje/qjac033

Suss, J., Kemeny, T., & Connor, D. (2023). GEOWEALTH: Spatial wealth inequality data for the United States, 1960–2020. Scientific Data, 11(1), 253. https://doi.org/10.1038/s41597-024-03059-9

Teppa, F., & Vis, C. (2012). The CentERpanel and the DNB Household Survey: Methodological aspects. DNB Occasional Studies, 10(4). https://www.dnb.nl/media/z33gbctk/201209_nr_4_-2012-_the_centerpanel_and_the_dnb_household_survey_methodological_aspects.pdf

Valle, L. (2023). Number who helped parents financially almost as high as number who paid child support. America Counts: Stories. U.S. Census Bureau. https://www.census.gov/library/stories/2023/06/adults-provided-support-to-parents.html

Wheat, C. (2022, October 4). Assessing economic policy with banking data [Presentation]. Presentation to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

Zwick, E. (2022, July 12). The role of external data in capitalized wealth estimates [Presentation]. Presentation to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

Zwijnenburg, J. (2019). Unequal distributions: EG DNA versus DINA approach. AEA Papers and Proceedings, 109, 296–301. https://www.aeaweb.org/articles?id=10.1257/pandp.20191036

CHAPTER 6

Advisory Committee on Data for Evidence Building. (2022). Year 2 report. Bureau of Economic Analysis.

Bates, M. (2022, October 25). California’s cradle-to-career data system [Presentation]. Presentation to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

Batty, M., Bricker, J., Briggs, J., Friedman, S., Nemschoff, D., Nielsen, E., Sommer, K., & Volz, A. (2020). The Distributional Financial Accounts of the United States. In R. Chetty, J. N. Friedman, J. C. Gornick, B. Johnson, & A. Kennickell (Eds.), Measuring distribution and mobility of income and wealth. University of Chicago Press. https://www.nber.org/books-and-chapters/measuring-distribution-and-mobility-income-and-wealth/distributional-financial-accounts-united-states

Bee, A., Mitchell, J., Mittag, N., Rothbaum, J., Sanders, C., Schmidt, L., & Unrath, M. (2023). National Experimental Wellbeing Statistics Version 1 (SEHSD Working Paper No. 2023-02). U.S. Census Bureau. https://www2.census.gov/library/working-papers/2023/adrm/ces/CES-WP-23-04.pdf

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Brown, D. (2022, October 25). Overview of linking data at the Census Bureau [Presentation]. Presentation to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

Brown, D., Cohen, S., Denoeux, G., Dorinski, S., Heggeness, M., Lieberman, C., & McBride, L. (2023). Real-Time 2020 Administrative Record Census Simulation (Version 1.0). U.S. Census Bureau. https://www.census.gov/programs-surveys/decennial-census/decade/2020/planning-management/evaluate/eae/2020-admin-record-census-simulation.html

Brummet, Q., Flanagan-Doyle, D., Mitchell, J., Voorheis, J., Erhard, L., & McBride, B. (2018). Investigating the use of administrative records in the Consumer Expenditure Survey (CARRA Working Paper No. 2018-01). U.S. Census Bureau. https://www.census.gov/library/working-papers/2018/adrm/carra-wp-2018-01.html

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Culanane, C., & Rubenstein, B. (2023, May). Not fit for purpose: A critical analysis of the Five Safes [Presentation]. Presentation to the Panel on Approaches to Sharing Blended Data in a 21st Century Data Infrastructure.

Dillon, M. (2021). Evaluating the master address file — auxiliary reference file (MAF-ARF) as a potential respondent retention source (CARRA Working Paper No. 18-12). U.S. Census Bureau. https://www.census.gov/library/working-papers/2018/adrm/carra-wp-2018-12.html

Fox, L., Rothbaum, J., & Shantz, K. (2022). Fixing errors in a SNAP: Addressing SNAP underreporting to evaluate poverty. AEA Papers and Proceedings, 112, 330–334. https://doi.org/10.1257/pandp.20221040

Garfinkel, S., Near, J., Dajani, A., Singer, P., & Guttman, B. (2023). NIST SP 800-188, deidentifying government datasets: Techniques and governance (NIST Special Publication No. 800-188). U.S. Department of Commerce, National Institute of Standards and Technology. https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-188.pdf

Hong, A., Meyer, B., Murphy, C., Sullivan, J., & Wu, D. (2023). Measuring economic security using linked consumer expenditure and administrative data [Conference session]. 5th Annual Social Security Administration Retirement and Disability Research Consortium Meeting, Chicago, IL. https://mrdrc.isr.umich.edu/publications/other/pdf/2023%20RDRDC%20Meeting%20Slides%20Panel%204.pdf

Hotz, V., Bollinger, C., Komarova, T., Manski, C., Moffitt, R., Nekipelov, D., Sojourner, A., & Spencer, B. (2022). Balancing data privacy and usability in the federal statistical system. Proceedings of the National Academy of Sciences, 119(31). https://doi.org/10.1073/pnas.2104906119

Kho, A. (2022, October 25). Insights and challenges in using linked data to evaluate health [Presentation]. Presentation to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

Larrimore, J., Mortenson, J., & Splinter, D. (2022, July 12). Strengths and limitations of tax data for distributional estimates [Presentation]. Presentation to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

McClelland, R. (2022, July 12). Synthetic data and validation server: safely expanding research access to sensitive data [Presentation]. Presentation to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

Meyer, B., & Mittag, N. (2019). Using linked survey and administrative data to better measure income: Implications for poverty, program effectiveness, and holes in the safety net (NBER Working Paper No. 21676). National Bureau of Economic Research. https://www.nber.org/papers/w21676

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___. (2021). Principles and practices for a federal statistical agency (7th ed.). The National Academies Press. http://doi.org/10.17226/25885

___. (2022). Modernizing the Consumer Price Index for the 21st century. The National Academies Press. https://doi.org/10.17226/26485

___. (2023a). Toward a 21st century national data infrastructure: Mobilizing information for the common good. The National Academies Press. https://doi.org/10.17226/26688

___. (2023b). Toward a 21st century national data infrastructure: Enhancing survey programs by using multiple data sources. The National Academies Press. https://doi.org/10.17226/26804

___. (2023c). Reducing intergenerational poverty. The National Academies Press. https://doi.org/10.17226/27058

___. (2023d). A roadmap for disclosure avoidance in the survey of income and program participation. The National Academies Press.

___. (2024). Toward a 21st century national data infrastructure: Managing privacy and confidentiality risks with blended data. The National Academies Press. https://doi.org/10.17226/27335

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Ritchie, F. (2008). Secure access to confidential microdata: Four years of the Virtual Microdata Laboratory. Economic & Labour Market Review, 2(5), 29–34. https://doi.org/10.1057/elmr.2008.73

Rothbaum, J. (2022, July 12). The national experimental wellbeing statistics [Presentation]. Presentation to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

Rothbaum, J. (2024, January 6). National experimental wellbeing statistics: Combining survey and administrative data to improve income and poverty statistics [Presentation]. Presentation at the American Economic Association annual meeting. San Antonio, TX.

Smith, M., Zidar, O., & Zwick, E. (2021). Top wealth in America: New estimates and implications for taxing the rich (NBER Working Paper No. 29374). National Bureau of Economic Research. https://www.nber.org/papers/w29374

Wheat, C. (2022, October 4). Assessing economic policy with banking data [Presentation]. Presentation to the Committee on an Integrated System of U.S. Household Income, Wealth, and Consumption Data and Statistics to Inform Policy and Research.

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