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Reliability of recall in agricultural data (English)

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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    Beegle,Kathleen G., Carletto,Calogero, Kastelic,Kristen Himelein

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    Policy Research Working Paper

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    Reliability of recall in agricultural data

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    Crop;cash crop;farmer;harvest date;Agriculture;Poverty & Inequality;acres of land;fertilizer use;female headship;short period of time;standard error;household interview;input use;agricultural season;household head;data quality;source income;source of income;staple food crop;motor vehicle accident;national household survey;increase in quantity;fertilizer usage;data collection method;demand for cash;quality of data;portion of total;average education level;crop production estimate;household survey data;education and gender;expenditure on food;reliability of information;amounts of information;labor use;agricultural data;fertilizer application;agricultural statistic;maize crop;food expenditure;maize production;farm household;tobacco sales;Cash Income;fertilizer purchase;wage labor;Agricultural Statistics;sample household;household characteristic;harvest quantity;small landholding;marginal probability;rainy season;enumeration area;geographic area;stratified sampling;indicator variable;household consumption;reference point;labor hour;tobacco growers;coffee farmer;agricultural information;household income;maize harvest;measurement error;



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Beegle,Kathleen G. Carletto,Calogero Kastelic,Kristen Himelein

Reliability of recall in agricultural data (English). Policy Research working paper,no. WPS 5671,LSMS Washington, D.C. : World Bank Group.