We experimentally test how psychological motivations can impact the processing of purely objective information. We first document that, when the high-stakes College Entrance Exam is held in the month of Ramadan, Chinese Muslim students perform significantly worse. When asked about the impact of...

We study a nonlinear two-way fixed effects panel model that allows for unobserved individual heterogeneity in slopes (interacting with covariates) and (unknown) flexibly specified link function. The former is particularly relevant when the researcher is interested in the distributional causal...

Group testing increases efficiency by pooling patient specimens and clearing the entire group with one negative test. Optimal grouping strategy is well studied in one-off testing scenarios with reasonably well-known prevalence rates and no correlations in risk. We discuss how the strategy...

Applied researchers most often estimate the demand for differentiated products assuming that at most one item can be purchased. Yet simultaneous multiple purchases are pervasive. Ignoring the interdependence among multiple purchases can lead to erroneous counterfactuals, in particular, because...

We introduce a Generalized Nested Logit model of demand for bundles that can be estimated sequentially and virtually eliminates any challenge of dimensionality related to large choice sets. We use it to investigate quantity discounts for carbonated soft drinks by simulating a counterfactual with...

According to the Hicksian criterion, two products are complements if their (compensated) cross-price elasticity is negative. While attractive in theory, the implementation of the Hicksian criterion can be hard: computing elasticities requires the estimation of structural models allowing for both...

Group testing increases efficiency by pooling patient specimens and clearing the entire group with one negative test. Optimal grouping strategy is well studied in one-off testing scenarios with reasonably well-known prevalence rates and no correlations in risk. We discuss how the strategy...