This paper reassesses the general trade-off between ad valorem and specific taxation using an economic model that features love-of-variety preferences and encompasses a wide range of market conduct - including both quantity and price competition - while allowing for firm entry and exit. We...

This paper studies commodity taxation in a model featuring heterogeneous consumers, imperfect competition, and tax salience. We derive new formulas for the incidence and marginal excess burden of commodity taxation highlighting interactions between tax salience and market structure. We estimate...

This paper develops a framework for evaluating the welfare impact of various interventions designed to increase take-up of social safety net programs in the presence of potential behavioral biases. We calibrate the key parameters using a randomized field experiment in which 30,000 elderly...

We leverage spatial variation in the severity of the Great Recession across the United States to examine its impact on mortality and to explore implications for the welfare consequences of recessions. We estimate that an increase in the unemployment rate of the magnitude of the Great Recession...

This paper reassesses the general trade-off between ad valorem and specific taxation using an economic model that features love-of-variety preferences and encompasses a wide range of market conduct –including both quantity and price competition – while allowing for firm entry and exit. We...

This paper reassesses the general trade-off between ad valorem and specific taxationusing an economic model that features love-of-variety preferences and encompasses awide range of market conduct – including both quantity and price competition – whileallowing for firm entry and exit. We...

This paper develops a framework for evaluating the welfare impact of various interventions designed to increase take-up of social safety net programs in the presence of potential behavioral biases. We calibrate the key parameters using a randomized field experiment in which 30,000 elderly...