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Found 9 papers, 3 papers with code
Sequential Synthetic Difference in Differences
We propose a new estimator -- Sequential Synthetic Difference in Difference (Sequential SDiD) -- and establish its theoretical properties in a linear model with interactive fixed effects.
Flexible Analysis of Individual Heterogeneity in Event Studies: Application to the Child Penalty
Third, we use the individual-level estimates as a regressor on the right-hand side to study the intergenerational elasticity of the CP between mothers and daughters.
Causal Models for Longitudinal and Panel Data: A Survey
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.
Large-Sample Properties of the Synthetic Control Method under Selection on Unobservables
We analyze the synthetic control (SC) method in panel data settings with many units.
Design-Robust Two-Way-Fixed-Effects Regression For Panel Data
We propose a new estimator for average causal effects of a binary treatment with panel data in settings with general treatment patterns.
Doubly Robust Identification for Causal Panel Data Models
We focus on a different, complementary approach to identification where assumptions are made about the connection between the treatment assignment and the unobserved confounders.
On Policy Evaluation with Aggregate Time-Series Shocks
We develop an estimator for applications where the variable of interest is endogenous and researchers have access to aggregate instruments.
Synthetic Difference in Differences
We present a new estimator for causal effects with panel data that builds on insights behind the widely used difference in differences and synthetic control methods.
Methodology
Fixed Effects and the Generalized Mundlak Estimator
We develop a new approach for estimating average treatment effects in observational studies with unobserved group-level heterogeneity.
