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Measuring Belief-dependent Preferences without Data on Beliefs

Review of Economic Studies 2023 90(1), 40-64
Abstract We derive bounds on the causal effect of belief-dependent preferences (reciprocity and guilt aversion) on choices in sequential two-player games without data on the (higher-order) beliefs of players. We show how informative bounds can be derived by exploiting a specific invariance property common to those preferences. We illustrate our approach by analysing data from an experiment conducted in Denmark. Our approach produces tight bounds on the causal effect of reciprocity in the games we consider. These bounds suggest there exists significant reciprocity in our population—a result also substantiated by the participants’ answers to a post-experimental questionnaire. On the other hand, our approach yields high implausible estimates of guilt aversion—participants would be willing, in some games, to pay at least three Danish crowns (DKK) to avoid letting others down by one DKK. We contrast our estimated bounds with point estimates obtained using data on stated higher-order beliefs, keeping all other aspects of the model unchanged. We find that point estimates fall within our estimated bounds, suggesting that elicited higher-order belief data in our experiment is weakly (if at all) affected by various reporting biases.

Testing for Salience Effects in Choices under Risk

The Review of Economics and Statistics 2025 107(3), 741-754
Abstract We construct and run an experiment to test the most basic choice effect predicted by salience theory. Subjects allocate wealth between a risky and a safe investment. While we vary an apparent payoff ratio to influence salience, treatments have economically equivalent consequences. Most other theories of behavior then predict zero effect. Our experimental findings are strongly consistent with the behavioral implication of a continuous version of salience theory. We provide a novel structural estimate on the strength of salience. In our setting, increasing the relative payoff contrast by 1% is equivalent to an increased odds ratio by about 0.4%.