Temporal Aggregation for the Synthetic Control Method
The synthetic control method (SCM) is a popular approach for estimating the impact of a
treatment on a single unit with panel data. Two challenges arise with higher-frequency data …
treatment on a single unit with panel data. Two challenges arise with higher-frequency data …
A method of moments approach to asymptotically unbiased Synthetic Controls
J Fry - Journal of Econometrics, 2024 - Elsevier
A common approach to constructing a Synthetic Control unit is to fit on the outcome variable
and covariates in pre-treatment time periods, but it has been shown by Ferman and Pinto …
and covariates in pre-treatment time periods, but it has been shown by Ferman and Pinto …
Inference for synthetic controls via refined placebo tests
L Lei, T Sudijono - arXiv preprint arXiv:2401.07152, 2024 - arxiv.org
The synthetic control method is often applied to problems with one treated unit and a small
number of control units. A common inferential task in this setting is to test null hypotheses …
number of control units. A common inferential task in this setting is to test null hypotheses …
Statistical methods to estimate the impact of gun policy on gun violence
Gun violence is a critical public health and safety concern in the United States. There is
considerable variability in policy proposals meant to curb gun violence, ranging from …
considerable variability in policy proposals meant to curb gun violence, ranging from …
[PDF][PDF] The Effects of Immigration on Regions that Don't Receive Immigrants
A Gulek, T Garg - 2024 - ahmetgulek.github.io
This paper investigates how immigration-induced wage shocks can propagate beyond the
regions receiving immigrants through the production network. Theoretically, we characterize …
regions receiving immigrants through the production network. Theoretically, we characterize …
[PDF][PDF] Synthetic Differences-in-Differences with Covariates
D Hirshberg, S Klosin - 2024 - klosins.github.io
We propose a synthetic difference-in-difference estimator that incorporates time-varying
covariates. We incorporate covariates into a high-dimensional least squares with correlated …
covariates. We incorporate covariates into a high-dimensional least squares with correlated …