We propose a framework for estimation and inference when the model may be misspecified. We rely on a local asymptotic approach where the degree of misspecification is indexed by the sample size. We construct estimators whose mean squared error is minimax in a neighborhood of the reference model,...

We test the main predictions of the rational addiction model, reconceptualized as rational habit formation, in the context of handwashing. To track habit formation, we design soap dispensers with timed sensors. We test for rational habit formation by informing some households about a future...