We study the identification and estimation of key parameters in a basic model of technology adoption when specifically collected information on subjective beliefs and expectations about the technology’s impact is available. We discuss identification with both non-parametrically and...

We randomized 43 villages in Bangladesh to receive information on well-water arsenic that emphasized water safety relative to the national standard (bright-line message) or provided additional information on how risks from exposure increase with arsenic levels (gradient message). The gradient...