Environmental policy is increasingly concerned with measuring emissions resulting from local changes to electricity consumption. These marginal emissions are challenging to measure because electricity grids encompass multiple locations and the information available to identify the effect of each...

This survey discusses the recent causal panel data literature. This recent literature has focused on credibly estimating causal effects of binary interventions in settings with longitudinal data, with an emphasis on practical advice for empirical researchers. It pays particular attention to...

We study identification in a binary choice panel data model with a single predetermined binary covariate (i.e., a covariate sequentially exogenous conditional on lagged outcomes and covariates). The choice model is indexed by a scalar parameter θ, whereas the distribution of unit-specific...

We construct a dynamic general equilibrium model of foreign direct investment (FDI) and foreign technology adoption, incorporating adoption barriers, international technology spillover, and relative price advantages. A higher FDI conversion efficacy, a lower adoption barrier, or a stronger...

We examine the effect of uncertainty on foreign direct investment inflows for a heterogeneous sample of advanced, emerging market and developing countries over a 25 year long (pre-Covid) sample. Using a push-pull framework, and controlling for both global and local factors, we find policy...

Motivated by a recent literature on the double-descent phenomenon in machine learning, we consider highly over-parameterized models in causal inference, including synthetic control with many control units. In such models, there may be so many free parameters that the model fits the training data...

This paper analyzes difference-in-differences designs with a continuous treatment. We show that treatment effect on the treated-type parameters can be identified under a generalized parallel trends assumption that is similar to the binary treatment setup. However, interpreting differences in...

This paper introduces the concept of a "trimmed aggregate ATT," which is a weighted average of a set of group-time average treatment effect on the treated (ATT) parameters identified in a staggered adoption difference-in-differences (DID) design. The set of identified group-time ATTs that...

We develop an optimal policy assignment rule that integrates two distinctive approaches commonly used in economics--targeting by observables and targeting through self-selection. Our method can be used with experimental or quasi-experimental data to identify who should be treated, be untreated,...

Wealth varies considerably across the population and changes significantly over the lifecycle. In this paper, we trace out trajectories of wealth across several key life milestones, including marriage, homeownership, childbirth, divorce, disability, health shocks, retirement and widowhood using...