Abstract

Root and tuber crops, such as cassava, could be planted to hedge against climate shocks, seasonal crop failures and food insecurity during the lean season. Since their harvests occur over extended periods and often in small quantities, they present a serious challenge for household and farm surveys aiming to collect reliable information on crop production based on recall. To document the relative accuracy of recall-based approaches to survey data collection on cassava production vis-à-vis diary-based techniques, a survey experiment was implemented in Malawi over a 12-month period. The sampled cassava-producing households were randomly assigned to one of four treatments, including (1) daily diary-keeping, with semi-weekly supervision visits (diary-visit); (2) daily diary-keeping, with semi-weekly supervisory phone calls (diary-phone); (3) two six-month recall interviews, with six months in between; and (4) a single 12-month recall interview. We find that compared to diary-visit, the household-level annual cassava production is 295 kg higher under diary-phone. This effect corresponds to 28 percent of the average diary-visit annual production estimate. Since unavoidable, albeit limited, lapses in diary keeping over a 12-month period may have led both diary variants to underestimate true production, higher annual cassava production estimate obtained under diary-phone implies that this treatment is closer to the true estimate. Although the difference between the estimates based on six-month recall and diary-visit is statistically insignificant, 12-month recall, on average, underestimates annual production (i) by 516 kg with respect to diary-phone (corresponding to 37 percent of the diary-phone average) and (ii) by 221 kg with respect to diary-visit (corresponding to 21 percent of the diary-visit average). While the recall-based approaches both record production estimates lower than the diary-phone, six-month recall does so to a lesser extent. And supported by a crop cutting operation in which all sampled households participated irrespective of their assigned survey treatment, the analysis demonstrates likely gross overestimation in competing international and ministerial statistics on cassava yields in Malawi. For improved microdata on root and tuber crop production, the findings lend support to the adoption of (i) diary-keeping with phone calls, particularly if deployed in a broader mobile phone–based survey, or (ii) six-month recall, as a second-best alternative. The adoption of these practices can then facilitate a renewed look at the role of cassava farming in poverty, food security and agricultural production.

Highlights

  • Agriculture is the backbone of the economy in rural areas that house nearly 70 percent of the population in low-income countries

  • Considering the importance of cassava for food security and the absence of best practices in accurate survey data collection on extended-harvest crop production and yields, we present the results of a household survey experiment that randomly assigned sampled households in top cassava-producing districts in Malawi to one of four approaches to cassava production measurement over a 12-month period

  • Under the assumption that true cassava production is underestimated due to incomplete recordkeeping even in diaries that are implemented over an extended period, the analysis reveals that compared to D1, the annual household cassava production was 295 kilograms higher, on average, under D2, corresponding to 28 percent of the D1 mean, and that the traditional gold standard is outperformed by a competing diary variant in terms of capturing cassava production as comprehensively as possible

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Summary

Introduction

Agriculture is the backbone of the economy in rural areas that house nearly 70 percent of the population in low-income countries. The importance of agriculture for development is recognized recently during the formulation of the Sustainable Development Goal (SDG) Target 2.3, which requires doubling of agricultural productivity and incomes of small-scale food producers. In Africa, the average share of rural household income tied to agriculture could be as high as 69 percent (Davis et al, 2017), and the research has shown that compared to non-agricultural growth, agricultural growth translates into higher rates of poverty reduction (Dorosh and Thurlow, 2016). Despite the importance of agriculture for livelihoods, obtaining accurate and timely estimates on crop production and yields remains a significant challenge. In the context of root, tuber and tree crops, the primary concern around the accuracy of prevailing approaches to data collection in large-scale household and farm surveys that underlie official statistics is arguably the reliance on respondent recall

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