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Role of Text Messages in Nudging Farmers to use Credible Information Sources for Farming decisions.
Last registered on October 14, 2020


Trial Information
General Information
Role of Text Messages in Nudging Farmers to use Credible Information Sources for Farming decisions.
Initial registration date
April 15, 2020
Last updated
October 14, 2020 7:05 AM EDT
Primary Investigator
Indian Institute of Management Kozhikode
Other Primary Investigator(s)
PI Affiliation
Indian Institute of Management Kozhikode
Additional Trial Information
In development
Start date
End date
Secondary IDs
The role of information is very evident and spans all the steps of decision making as depicted above. One of the key factors that compromise optimal decision making of farmers is the lack of credible information (Aker, 2011a; Fafchamps & Minten, 2012b; Jensen, 2007). It is often argued that the govt. organized extension programs suffer from poor planning, formulation, and execution (Ali & Kumar, 2011; Glendenning & Ficarelli, 2012). They fail to respond to the needs of the community, further their reach is very minimal (Glendenning et al., 2010). As an alternative, the role of ICT’s as a medium and source of information dissemination is slowly gaining popularity all over the world (Ali & Kumar, 2011; Beaman et al., 2014; Rao, 2007). We propose to use the intervention of text reminders in our study to nudge the farmer into using a mobile phone application. We hypothesize that this nudge would lead to a shift from using less credible sources of information to more credible sources of information thereby enhancing the decision-making capabilities of the farmer.
External Link(s)
Registration Citation
R Nair, Sthanu and Reddy Sai Shiva Jayanth. 2020. "Role of Text Messages in Nudging Farmers to use Credible Information Sources for Farming decisions.." AEA RCT Registry. October 14. https://doi.org/10.1257/rct.5690-1.1.
Experimental Details
Intervention Start Date
Intervention End Date
Primary Outcomes
Primary Outcomes (end points)
1. Usage of MPA
2. Choice of information sources
3. Decision-making capabilities of the farmer
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
We would firstly introduce a mobile phone application to all the (treatment as well as control) farmers. Once the mobile phone application is introduced, we randomly assign half of the farmers to the treatment group (and another half into control group) and start sending them frequent text reminders nudging them to use the MPA
Experimental Design Details
Not available
Randomization Method
In our study, we plan to use multi stage random sampling randomisation (two stage). In this method, we first obtain multiple blocks/clusters using randomisation and then at second level we select subjects within each block at random to be part of experiment.
Randomization Unit
Farmer level
Was the treatment clustered?
Experiment Characteristics
Sample size: planned number of clusters
10 villages
Sample size: planned number of observations
1100 farmers
Sample size (or number of clusters) by treatment arms
110 farmers per village
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB Name
Indian Institute of Management Kozhikode Institutional Review Board
IRB Approval Date
IRB Approval Number