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Reliability of Recall in Agricultural Data / Kathleen Beegle
World Bank Open Knowledge Repository (formerly "World Bank E-Library Publications") Available online
View online- Format:
- Book
- Government document
- Author/Creator:
- Beegle, Kathleen
- Series:
- Policy research working papers.
- World Bank e-Library.
- Language:
- English
- Subjects (All):
- Agriculture.
- Crops & Crop Management Systems.
- Educational Sciences.
- Measurement Error.
- Poverty Reduction.
- Recall.
- Regional Economic Development.
- Rural Development Knowledge & Information Systems.
- Rural Poverty Reduction.
- Local Subjects:
- Agriculture.
- Crops & Crop Management Systems.
- Educational Sciences.
- Measurement Error.
- Poverty Reduction.
- Recall.
- Regional Economic Development.
- Rural Development Knowledge & Information Systems.
- Rural Poverty Reduction.
- Physical Description:
- 1 online resource (29 pages)
- Place of Publication:
- Washington, D.C., The World Bank, 2011
- System Details:
- data file
- Summary:
- Despite the importance of agriculture to economic development, and a vast accompanying literature on the subject, little research has been done on the quality of the underlying data. Due to survey logistics, agricultural data are usually collected by asking respondents to recall the details of events occurring during past agricultural seasons that took place a number of months prior to the interview. This gap can lead to recall bias in reported data on agricultural activities. The problem is further complicated when interviews are conducted over the course of several months, thus leading to recall of variable length. To test for such recall bias, the length of time between harvest and interview is examined for three African countries with respect to several common agricultural input and harvest measures. The analysis shows little evidence of recall bias impacting data quality. There is some indication that more salient events are less subject to recall decay. Overall, the results allay some concerns about the quality of some types of agricultural data collected through recall over lengthy periods.
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