Methods

We introduce a novel framework for individual-level welfare analysis.

Building on Bierens (1990), we propose penalized maximum statistics and combine bootstrap inference with model selection.

This paper develops a novel method for policy choice in a dynamic setting where the available data is a multi-variate time series.

We consider estimation and inference for a regression coefficient in panels with interactive fixed effects (i.e., with a factor structure).

Multivalued treatment is commonplace in applications. We explore the use of discrete-valued instruments to control for selection bias in this setting.

The persuasion rate is a key parameter for measuring the causal effect of a directional message on influencing the recipient’s behavior.

Measuring how assortative matching differs between two economies is difficult, we show how the use of different measures can create different outcomes

We develop a novel approach that leverages the information contained in expectations datasets to derive measures of beliefs regarding economic shocks.

The Frisch labor supply elasticity plays a key role in many economic policy debates, but its magnitude remains controversial.

Life expectancy gaps between gender and income groups are large and generate notable implicit redistribution in lifetime earnings via pension systems.

Implementing a range of production function estimators on UK data, we find our results are similar to or more credible than widely-used alternatives.