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...

In many semiparametric models, the parameter of interest is identified through conditional expectations, where the conditioning variable involves a single-index that is estimated in the first step. Among the examples are sample selection models and propensity score matching estimators. When the...

This paper studies the identification and estimation of a basic model of technology adoption using specifcally collected information on subjective beliefs and expectations to identify key model parameters. We discuss identifcation with both non-parametrically and parametrically specified utility...