Pigouvian taxes can fully correct for market failures due to externalities, but actual policies are commonly forced to deviate from the Pigouvian ideal due to administrative or political constraints. This paper derives sufficient statistics, which require a minimum of market information, that...

Much has been written about the seemingly less formal, more agile biotechnology industry and its extensive interactions with academia and startups, as well as its distinct scientific, manufacturing and regulatory profile. Employing a data base encompassing all 96 biologics and 212 small...

Neoclassical investment models predict that firms should make frequent, small adjustments to their capital stocks. Microeconomic evidence, however, shows just the opposite -- firms make infrequent, large adjustments to their capital stocks. In response, researchers have developed models with...

If machines are indivisible, a vintage capital model must give rise to income inequality. If new machines are always better than old ones and if society cannot provide everyone with a new machine all of the time, inequality will result. I explore this mechanism in detail. If technology resides...

This paper studies the effect of durability on the financing of durable assets. We show that more durable assets require larger down payments of internal funds per unit of capital making them harder to finance, because durability affects the price of an asset and hence the overall financing need...

We theoretically characterize the behavior of machine learning asset pricing models. We prove that expected out-of-sample model performance--in terms of SDF Sharpe ratio and test asset pricing errors--is improving in model parameterization (or "complexity"). Our empirical findings verify the...

We introduce a general approach for analyzing large-scale text-based data, combining the strengths of neural network language processing and generative statistical modeling to create a factor structure of unstructured data for downstream regressions typically used in social sciences. We generate...

Endogeneity is a primary concern when evaluating causal effects using observational panel data. While unit-specific intercepts control for unobserved time-invariant confounders, dependence between (i) regressors (e.g., marketing mix strategy of interests) and the current error term (regressor...

This paper explores ways to integrate model uncertainty into policy evaluation. We first describe a general framework for the incorporation of model uncertainty into standard econometric calculations. This framework employs Bayesian model averaging methods that have begun to appear in a range of...

Computable General Equilibrium models, widely used for the analysis of Free Trade Agreements (FTAs) are often criticized for having poor econometric foundations. This paper improves the linkage between econometric estimates of key parameters and their usage in CGE analysis in order to better...