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Suggested Citation: "References." National Academies of Sciences, Engineering, and Medicine. 2023. 2020 Census Data Products: Demographic and Housing Characteristics File: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26727.

References

Abowd, J., Ashmead, R., Cumings-Menon, R., Garfinkel, S., Heineck, M., Heiss, C., Johns, R., Kifer, D., Leclerc, P., Machanavajjhala, A., Moran, B., Sexton, W., Spence, M., and Zhuravlev, P. (2022). The 2020 Census disclosure avoidance system TopDown Algorithm. Harvard Data Science Review, (Special Issue 2). https://doi.org/10.1162/99608f92.529e3cb9

Arriaga, E. (1968). New life tables for Latin American populations in the nineteenth and twentieth centuries. University of California, Berkeley.

boyd, d., and Sarathy, J. (2022). Differential perspectives: Epistemic disconnects surrounding the U.S. Census Bureau’s use of differential privacy. Harvard Data Science Review, (Special Issue 2). https://doi.org/10.1162/99608f92.66882f0e

Christ, M., Radway, S., and Bellovin, S. M. (2022). Differential privacy and swapping: Examining de-identification’s impact on minority representation and privacy preservation in the U.S. Census. IEEE Symposium on Security and Privacy, 1564–1564. https://ieeexplore.ieee.org/document/9833668

Currie, I. D., Durban, M., and Eilers, P. H. C. (2004). Smoothing and forecasting mortality rates. Statistical Modelling, 4(4), 279–298. https://doi.org/10.1191/1471082X04st080oa

Dyrting, S. (2020). Smoothing migration intensifies with P-TOPALS. Demographic Research, 43(55), 1607–1650.

Fienberg, S. E. (2006). Discussion. Journal of Official Statistics, 22(4), 615–619.

Gong, R., and X.-L. Meng (2020). Congenial differential privacy under mandated disclosure. Proceedings of the 2020 ACM-IMS on Foundations of Data Science Conference, 59–70.

Hotz, V. J., and Salvo, J. (2022). A chronicle of the application of differential privacy to the 2020 Census. Harvard Data Science Review, (Special Issue 2). https://doi.org/10.1162/99608f92.ff891fe5

Hotz, V. J., Bollinger, C. R., Komarova, T., Manski, C. F., Moffitt, R. A., Nekipelov, D., Sojourner, A., and Spencer, B. D. (2022). Balancing data privacy and usability in the federal statistical system. Proceedings of the National Academies of Sciences, 119(31), e2104906119. https://doi.org/10.1073/pnas.2104906119

Suggested Citation: "References." National Academies of Sciences, Engineering, and Medicine. 2023. 2020 Census Data Products: Demographic and Housing Characteristics File: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26727.

JASON. (2020, April). JSR-19-2F, formal privacy methods for the 2020 Census. The MITRE Corporation. https://www2.census.gov/programs-surveys/decennial/2020/program-management/planning-docs/privacy-methods-2020-census.pdf

JASON. (2022, January). JSR-21-02, consistency of data products and formal privacy methods for the 2020 Census. The MITRE Corporation. https://www.census.gov/programs-surveys/decennial-census/decade/2020/planning-management/plan/planning-docs/2020-census-data-products-privacy-methods.html

Mueller, J. T., and Santos-Lozada, A. R. (2022). The 2022 US Census differential privacy method introduces disproportionate discrepancies for rural and non-while populations. Population Research and Policy Review, 41(1), 1417–1430. https://doi.org/10.1007/s11113-022-09698-3

National Congress of American Indians. (2019). Differential privacy and U.S. decennial census 2020: Impact on American Indian and Alaska Native Data. Washington, DC: NCAI Policy Research Center.

Office of Workforce and Career Development. (2012). An introduction to applied epidemiology and biostatistics. Centers for Disease Control and Prevention, U.S. Department of Health and Human Services. https://www.cdc.gov/csels/dsepd/ss1978/SS1978.pdf

Ruggles, S., Fitch, C., Magnuson, D., and Schroeder, J. (2019). Differential privacy and census data: Implications for social and economic research. AEA Papers and Proceedings, 109, 403–408.

Wezerek, G., and Van Riper, D. (2020, February 6). Changes to the census could make small towns disappear. New York Times. https://www.nytimes.com/interactive/2020/02/06/opinion/census-algorithm-privacy.html

Suggested Citation: "References." National Academies of Sciences, Engineering, and Medicine. 2023. 2020 Census Data Products: Demographic and Housing Characteristics File: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26727.
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Suggested Citation: "References." National Academies of Sciences, Engineering, and Medicine. 2023. 2020 Census Data Products: Demographic and Housing Characteristics File: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/26727.
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