2020
DOI: 10.1002/aepp.13066
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Challenges in Recruiting U.S. Farmers for Policy‐Relevant Economic Field Experiments

Abstract: To develop evidence-based agricultural policies, researchers increasingly use insights from economic field experiments. These insights are often limited by the challenges of recruiting large and representative samples of farmers. To improve the effectiveness and cost efficiency of farmer recruitment, researchers should apply the same experimental methods to the recruitment process that they apply to their main research questions. Here we experimentally evaluate ten recruiting strategies in two large-scale, hig… Show more

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Cited by 27 publications
(23 citation statements)
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“…The problem of external validity is particularly acute in agricultural experiments because it is rarely possible in practice to recruit a large, representative sample of farmers in an artefactual experiment (see Palm-Forster et al 2016 andWeigel et al 2020). Power analyses indicate that large samples are often needed to detect treatment effects for some types of agri-environmental policies, and recent research has found that many of the agri-economic experiments conducted so far have been underpowered (Palm-Forster et al 2019).…”
Section: A General Concern: Balancing Internal Validity External Validity and Parallelismmentioning
confidence: 99%
See 3 more Smart Citations
“…The problem of external validity is particularly acute in agricultural experiments because it is rarely possible in practice to recruit a large, representative sample of farmers in an artefactual experiment (see Palm-Forster et al 2016 andWeigel et al 2020). Power analyses indicate that large samples are often needed to detect treatment effects for some types of agri-environmental policies, and recent research has found that many of the agri-economic experiments conducted so far have been underpowered (Palm-Forster et al 2019).…”
Section: A General Concern: Balancing Internal Validity External Validity and Parallelismmentioning
confidence: 99%
“…Testing for heterogeneous treatment effects with adequate power is challenging given the difficulty of recruiting large numbers of farmers for field experiments conducted by academic researchers not embedded within government programs (see Weigel et al 2020). Heterogenous treatment effects can add variance and further reduce the power of a study, but this problem can be mitigated by using techniques such as stratification and block randomization (Duflo, Glennerster, and Kremer 2007).…”
Section: Heterogeneous Treatment Effectsmentioning
confidence: 99%
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“…However, this broad targeting introduces further concerns over multiple biases [13,16]. Although more traditional recruitment methods have been used and evaluated for agricultural populations, often with mixed results, our review of the literature indicates that there has been little data reported on the use of Facebook or other social media platforms for recruitment [17][18][19][20][21]. Therefore, we undertook this pilot study to investigate the effectiveness of targeted advertisements on Facebook as a tool to recruit participants in the agricultural sector, and to assess possible self-selection and geographic biases in this sampling method.…”
Section: Introductionmentioning
confidence: 99%