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RT @JustinGrimmer: No, survey evidence does not support the idea that Americans think political violence is ok ( ht….

RT @HarrisPolicy: Investigate the veracity of fraud claims in the 2020 election with guest @JustinGrimmer in this week's episode of #NotAno….

RT @MITelectionlab: Introducing a new collaboration with partners at Stanford University today: please welcome the #ElectionsPerformance Ce….

RT @ssrc_org: In @apsrjournal, @Jferrer505, @GeynIgor & @danmthomp find in 5,900 elections that counties narrowly electing Democratic elect….

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RT @cstewartiii: Important new article showing how bad math is used in election conspiracy claims, and how it can be debunked. https://t.co….

RT @apsrjournal: Do locally elected administrative clerks use their position to advantage their own parties in elections? Using a novel dat….

RT @johnmsides: Just-published research shows that partisan election officials don't appear to favor their own party. New from me @goodauth….

RT @sahnicboom: please apply to attend the local political economy pre-conference on Sep 4 (wed before APSA). grad students on the market,….

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RT @JustinGrimmer: In a new working paper Abhi Ramaswamy and I provide the most comprehensive evaluation, to date, of the empirical claims….

RT @apsrjournal: Do locally elected administrative clerks use their position to advantage their own parties in elections? Using a novel dat….

There's more in the paper validating the design and exploring why Democratic counties were more likely to apply. We welcome your comments!.

We benchmark the size of these effects against the margin in the 2020 presidential election in a number of ways. While every benchmarking exercise has flaws, these exercises suggest that the grants did not swing the election from Trump to Biden.

After selecting weights that put counties that did not apply for the grants on the same trajectory as recipients before 2020, we find that the grants did not substantially increase turnout or Democratic vote share in 2020. (We're using synthetic diff-in-diff weights.)

Even though Democrats applied for and received the funding at much higher rates, we find that the grants did not noticeably advantage Democrats in the 2020 election.

Using administrative data on which counties applied for and received the grants, we document that counties that supported Clinton in 2016 were substantially more likely to apply for and receive a grant.