Comparative Survey Imputation Methods for Farm Household Income
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Cited by:
- Morehart, Mitch & Milkove, Dan & Xu, Yang, 2014. "Multivariate Farm Debt Imputation in the Agricultural Resource Management Survey (ARMS)," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169401, Agricultural and Applied Economics Association.
- Kilic, Talip & Zezza, Alberto & Carletto, Calogero & Savastano, Sara, 2017.
"Missing(ness) in Action: Selectivity Bias in GPS-Based Land Area Measurements,"
World Development, Elsevier, vol. 92(C), pages 143-157.
- Carletto,Calogero & Kilic,Talip & Savastano,Sara & Zezza,Alberto & Carletto,Calogero & Kilic,Talip & Savastano,Sara & Zezza,Alberto, 2013. "Missing(ness) in action : selectivity bias in GPS-based land area measurements," Policy Research Working Paper Series 6490, The World Bank.
- Gedikoglu, Haluk & Parcell, Joseph L., 2013. "Implications of Survey Sampling Design for Missing Data Imputation," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149679, Agricultural and Applied Economics Association.
- Allen M. Featherstone & Timothy A. Park & Jeremy G. Weber, 2012. "Keeping ARMS relevant: extracting additional information from ARMS," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 72(2), pages 233-246, July.
- Burns, Christopher & Prager, Daniel & Ghosh, Sujit & Goodwin, Barry, 2015. "Imputing for Missing Data in the ARMS Household Section: A Multivariate Imputation Approach," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205291, Agricultural and Applied Economics Association.
- Gedikoglu, Haluk & Parcell, Joseph L., 2012. "Implications of Missing Data Imputation for Agricultural Household Surveys: An Application to Technology Adoption," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124333, Agricultural and Applied Economics Association.
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