The partner NGO organized 129 standardized debates to elicit the policy promises of candidates for the House. The platforms were then rebroadcast by community radio stations. The debates were held across all 73 districts from mid-August to mid-September prior to the October 2017 elections for the House of Representatives. In order to induce variation in debate participation, the authors randomly varied the intensity of the invitations to all candidates in each district.
The researchers embedded their experiments in large-scale, nationally representative surveys and randomly varied the information received by the respondents regarding the assessments and the identity of the election observers. Since Tunisia had election observers from a wide range of organizations, the researchers were able to realistically vary the identity of the election observer across the treatment groups by changing information regarding their organizational affiliation.
To test the ways in which politicians influence public opinion, the authors conduct two studies. The structures of the two studies are nearly identical. The authors partner with state legislators in a Midwestern state and identify contentious policy positions that they hold (support for tax increases or support for undocumented immigrants, for example). Next, they conduct interviews with a randomly selected sample of constituents to identify their opinions on these issues.
In the lead-up to the 2014 elections, Green and Vasudevan hired an Indian agency to script and record advertisements to discourage voting for vote-buying parties. The advertisements were skits in which actors discussed why vote-buying politicians were untrustworthy and unlikely to make good on their promises. The 60-second spots were recorded in Hindi and four regional languages (Kannada, Marathi, Oriya, and Telugu). The authors chose 60 AIR stations covering 665 ACs in ten states.
To figure out the effects of different voting systems, the research team randomly 1 assigned both polling place a
An experimental design was used in which the NSP program was partially extended to ten non-NSP districts in 2007; in each of these, 50 villages were selected and then randomly assigned to take part in NSP or not. Selected villages were grouped into matched pairs based on background characteristics and a requirement that they not be within 1km of each other; one unit in each pair was then randomly assigned to treatment.