Using data augmentation to correct for non‐ignorable non‐response when surrogate data are available: an application to the distribution of hourly pay
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DOI: 10.1111/j.1467-985X.2006.00398.x
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References listed on IDEAS
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Cited by:
- Christopher R. Bollinger & Barry T. Hirsch, 2013.
"Is Earnings Nonresponse Ignorable?,"
The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 407-416, May.
- Bollinger, Christopher R. & Hirsch, Barry, 2010. "Is Earnings Nonresponse Ignorable?," IZA Discussion Papers 5347, Institute of Labor Economics (IZA).
- Rebecca Riley, 2013. "Modelling Demand for Low Skilled/Low Paid Labour: Exploring the Employment Trade-Offs of a Living Wage," National Institute of Economic and Social Research (NIESR) Discussion Papers 404, National Institute of Economic and Social Research.
- Paolo Lucchino & Dr Justin van de Ven, 2013. "Modelling the dynamic effects of transfer policy: the LINDA policy analysis tool," National Institute of Economic and Social Research (NIESR) Discussion Papers 405, National Institute of Economic and Social Research.
- Shonosuke Sugasawa & Kosuke Morikawa & Keisuke Takahata, 2022. "Bayesian semiparametric modeling of response mechanism for nonignorable missing data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(1), pages 101-117, March.
- Rebecca Riley, 2013. "Modelling Demand for Low Skilled/Low Paid Labour: Exploring the Employment Trade-Offs of a Living Wage," National Institute of Economic and Social Research (NIESR) Discussion Papers 404, National Institute of Economic and Social Research.
- Christopher R. Bollinger & Barry T. Hirsch, 2010. "GDP & Beyond – die europäische Perspektive," RatSWD Working Papers 165, German Data Forum (RatSWD).
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