Missing(ness) in Action: Selectivity Bias in GPS-Based Land Area Measurements

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• 作者：Talip Kilic^a ; Alberto Zezza^a ; Calogero Carletto^a ; Sara Savastano^b
• 关键词：sub-Saharan Africa ; Global Positioning System ; Land Area Measurement ; Missing Data ; multiple imputation ; Land Productivity
• 刊名：World Development
• 出版年：2017
• 出版时间：April 2017
• 年：2017
• 卷：92
• 期：Complete
• 页码：143-157
• 全文大小：431 K
• 卷排序：92

文摘

Missing GPS-based plot areas constitute non-random household survey data. Missing data, however, can be reliably simulated by multiple imputation. Imputation affects agricultural statistics non-trivially in Tanzania and Uganda. Multiply-imputed data confirm the inverse scale-land productivity relationship.