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Reliability of recall in agricultural data, Volume 1
Author:Beegle, Kathleen; Carletto, Calogero; Himelein, Kristen; Country:Africa;
Date Stored:2011/06/02Document Date:2011/06/01
Document Type:Policy Research Working PaperSubTopics:Regional Economic Development; Crops and Crop Management Systems; Rural Poverty Reduction; Educational Sciences; Rural Development Knowledge & Information Systems
Language:EnglishMajor Sector:Education; Agriculture, fishing, and forestry; Health and other social services; Transportation
Rel. Proj ID:3A-Lsms Integrated Surveys On Agriculture -- -- P114487;Region:Africa
Report Number:WPS5671Sub Sectors:Health; General agriculture, fishing and forestry sector; General education sector; General transportation sector
Collection Title:Policy Research working paper ; no. WPS 5671TF No/Name:TF098893-KCP II - Measuring Development Indicators for Pastoralists Populations; TF098007-Improved Measurement of Welfare in Niger; TF093624-Improving the quality and policy relevance of household-level data on a
Volume No:1  

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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