Multiple imputation: an alternative to top coding for statistical disclosure control
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- Jenkins, Stephen P. & Burkhauser, Richard V. & Feng, Shuaizhang & Larrimore, Jeff, 2009.
"Measuring inequality using censored data: a multiple imputation approach,"
ISER Working Paper Series
2009-04, Institute for Social and Economic Research.
- Stephen Jenkins & Richard Burkhauser & Shuaizhang Feng & Jeff Larrimore, 2009. "Measuring Inequality Using Censored Data: A Multiple Imputation Approach," Working Papers 09-05, Center for Economic Studies, U.S. Census Bureau.
- Jenkins, Stephen P. & Burkhauser, Richard V. & Feng, Shuaizhang & Larrimore, Jeff, 2009. "Measuring Inequality Using Censored Data: A Multiple Imputation Approach," IZA Discussion Papers 4011, Institute for the Study of Labor (IZA).
- Stephen P. Jenkins & Richard V. Burkhauser & Shuaizhang Feng & Jeff Larrimore, 2009. "Measuring inequality using Censored data: A multiple imputation approach," Working Papers 108, ECINEQ, Society for the Study of Economic Inequality.
- Stephen P. Jenkins & Richard V. Burkhauser & Shuaizhang Feng & Jeff Larrimore, 2009. "Measuring Inequality Using Censored Data: A Multiple Imputation Approach," Discussion Papers of DIW Berlin 866, DIW Berlin, German Institute for Economic Research.
- Tapan K. Nayak & Samson A. Adeshiyan, 2016. "On Invariant Post-randomization for Statistical Disclosure Control," International Statistical Review, International Statistical Institute, vol. 84(1), pages 26-42, April.
- Klein Martin & Sinha Bimal, 2013. "Statistical Analysis of Noise-Multiplied Data Using Multiple Imputation," Journal of Official Statistics, De Gruyter Open, vol. 29(3), pages 425-465, June.
- Vladimir Hlasny & Paolo Verme, 2017. "The impact of top incomes biases on the measurement of inequality in the United States," Working Papers 452, ECINEQ, Society for the Study of Economic Inequality.
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