Estimating the treatment effect of the juvenile stay-at-home order on SARS-CoV-2 infection spread in Saline County, Arkansas

by   Neil Hwang, et al.

We investigate the treatment effect of the juvenile stay-at-home order (JSAHO) adopted in Saline County, Arkansas, from April 6 to May 7, in mitigating the growth of SARS-CoV-2 infection rates. To estimate the counterfactual control outcome for Saline County, we apply Difference-in-Differences and Synthetic Control design methodologies. Both approaches show that stay-at-home order (SAHO) significantly reduced the growth rate of the infections in Saline County during the period the policy was in effect, contrary to some of the findings in the literature that cast doubt on the general causal impact of SAHO with narrower scopes.


page 5

page 9

page 14

page 15

page 16

page 17

page 18

page 19


Treatment effect estimation with disentangled latent factors

A pressing concern faced by cancer patients is their prognosis under dif...

Bayesian variable selection in hierarchical difference-in-differences models

A popular method for estimating a causal treatment effect with observati...

Assessing Treatment Effect Variation in Observational Studies: Results from a Data Challenge

A growing number of methods aim to assess the challenging question of tr...

The policy is always greener: impact heterogeneity of Covid-19 vaccination lotteries in the US

Covid-19 vaccination has posed crucial challenges to policymakers and he...

Post-randomization Biomarker Effect Modification in an HIV Vaccine Clinical Trial

While the HVTN 505 trial showed no overall efficacy of the tested vaccin...

Avoiding Bias Due to Nonrandom Scheduling When Modeling Trends in Home-Field Advantage

Existing approaches for estimating home-field advantage (HFA) include mo...