Registration Recover Project update for 8/11/2025:
🗳️ 16,578 fewer people are on the RRP list today than were on July 17
🗳️ 893 people from the original list no longer are registered voters in #ncpol
🗳️ 36 people have been added to the list.
🗳️ 86,692 people remain
(1/4)
11.08.2025 19:04 — 👍 9 🔁 4 💬 1 📌 1
I had this exact experience with @daviddarmofal.bsky.social but at a more modest invited talk. We went to high school 15 minutes apart and both ended up in South Carolina.
05.04.2025 14:01 — 👍 3 🔁 0 💬 0 📌 0
A lot of caveats (not super familiar with DiD lit, don’t know your data, etc.) but unless sample size is an issue, it seems the balanced panel is better, all else equal. Can you explore what, if anything, correlates with the missing obs? I usually go deep into my data in these situations.
14.02.2025 16:27 — 👍 0 🔁 0 💬 0 📌 0
Do they produce roughly the same results? If so, problem solved!
14.02.2025 16:03 — 👍 0 🔁 0 💬 0 📌 0
Thanks for sending. Looks great! And definitely parallels our paper.
10.01.2025 17:05 — 👍 0 🔁 0 💬 0 📌 0
picture of Western Carolina University from the campus mountain bike trails.
We (Western Carolina University) are searching for an assistant prof. of Political Science w/ a specialization in American politics(subfield open).
it's a 3:3 load, a collegial department, in a beautiful location.
Application review starts Jan 15
Polisky
jobs.wcu.edu/postings/29407
1/2
26.12.2024 17:27 — 👍 87 🔁 35 💬 2 📌 5
The Geographies of Economic Voting in Presidential and Congressional Elections
Click on the article title to read more.
For this article we built a dataset of economic conditions at the county and media market level, including local gas prices, finding little effect on voting behavior when compared to their national counterpart.
Link here: onlinelibrary.wiley.com/doi/abs/10.1...
16.12.2024 14:00 — 👍 8 🔁 3 💬 0 📌 0
Excellent piece by @johnsides.bsky.social on why local factors fail to explain Trump's vote share increase in cities. Matt Tarpey (Pittsburg State) and I show essentially the same in a 2016 article in PSQ--local economic conditions are unrelated to voting behavior in national elections.
16.12.2024 14:00 — 👍 3 🔁 1 💬 1 📌 0
Thank you for these lists! I’d love to be added to one.
25.11.2024 11:52 — 👍 2 🔁 0 💬 1 📌 0
I see gerrymandered congressional districts… and dead puppies.
22.11.2024 16:56 — 👍 2 🔁 0 💬 1 📌 0
We believe this paper sheds light on how members of Congress approach governance and a key issue at the nexus of mass attitudes and legislative procedure.
18.11.2024 18:21 — 👍 2 🔁 0 💬 0 📌 0
Our primary hypothesis suggests the existence of heterogeneous treatment effects, with conservative citizens expressing greater support for repeals: holding constant the policy outcome, operational conservatives express far greater support for repeals than moderates and liberals.
18.11.2024 18:21 — 👍 2 🔁 0 💬 1 📌 0
Consistent with existing work our survey experiment indicates that Americans care little about whether a policy outcome is achieved by repealing an existing law versus enacting a new law. However...
18.11.2024 18:21 — 👍 2 🔁 0 💬 1 📌 0
For this piece we conducted a survey experiment that asks respondents to indicate their support for a range of policy proposals, randomizing whether the outcome is achieved via the enactment of a new law or the repeal of an existing law.
18.11.2024 18:21 — 👍 2 🔁 0 💬 1 📌 0
Thank you! I’d love to be added.
13.11.2024 07:42 — 👍 1 🔁 0 💬 0 📌 0
In our NORC panel, it's clear that Harris built support relative to where Biden was in the late winter.
Harris retained the vast majority of Biden's Feb./Mar. supporters but won over 36% of those who were undecided vs. 18% going to Trump in Sept./Oct.
01.11.2024 13:43 — 👍 137 🔁 30 💬 4 📌 12
3) Look up your professors’ campaign contributions on OpenSecrets.
24.10.2024 19:23 — 👍 2 🔁 0 💬 1 📌 0
Not exactly what you want, but in this paper we use the 2nd dim as an “establishment v. anti establishment” measure. We have a cite or two on this.
www.cambridge.org/core/journal...
13.10.2023 19:00 — 👍 2 🔁 1 💬 0 📌 0
Bob Inglis?
27.09.2023 15:21 — 👍 1 🔁 0 💬 1 📌 0
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