Casey McQuillan
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caseymcquillan.bsky.social
Casey McQuillan
@caseymcquillan.bsky.social
PhD Candidate at Princeton interested in public finance, labor economics, and causal inference | GRFP Fellow at NSF | Former RA at NewYorkFed | AmherstCollege '18

Website: https://casey-mcquillan.github.io/
See below for the full paper, my website with more research, and my email for comments/questions!

📝: casey-mcquillan.github.io/files/McQuil...
💻: casey-mcquillan.github.io
📧: [email protected]
casey-mcquillan.github.io
November 19, 2025 at 4:51 AM
One takeaway is that raising benefit levels is more expensive than you'd think, but the broader lesson is that incomplete and endogenous take-up is a first-order concern for the optimal design of social insurance.
November 19, 2025 at 4:51 AM
Also, recall our earlier paper estimated the MVPF for expanding UI access to low-income workers, which suggested this would be a much, much more cost-effective policy.

bsky.app/profile/case...
🚨🚨🚨 NEW WORKING PAPER: "The Benefits of UI for Marginally Attached Workers" with Brendan Moore

➡️ We find that UI minimally delays re-employment, but substantially improves labor market outcomes for low-income workers

🧵1/13
November 19, 2025 at 4:51 AM
Existing estimates of the MVPF don’t account for this take-up response, and so they overstate the cost-effectiveness of raising benefits.

If this is the measure we use to decide where to put tax dollars, this difference meaningfully shifts policy priorities.
November 19, 2025 at 4:45 AM
Combining theory and empirics, we quantify the policy implications. Accounting for endogenous take-up:
- Lowers the optimal benefit level by 27% ($633➡️$451)
- Reduces the marginal value of public funds (MVPF) by 29 percent (0.90➡️0.66)
November 19, 2025 at 4:45 AM
Optimal policy depends on total benefit payments, whether from higher take-up or longer claims. We already knew that the duration elasticity enters the optimal policy condition, but the insight from this paper is that the take-up elasticity belongs there as well
November 19, 2025 at 4:45 AM
We develop a model with worker-specific hassle costs, which explains both incomplete take-up and why take-up rises with benefits. We then derive optimal policy in three cases: (1) no behavioral responses, (2) endogenous search only; and (3) endogenous search and take-up
November 19, 2025 at 4:45 AM
As a benchmark, we consider what happens if we only look at the duration response: a 10% increase in weekly benefit extends avg claim duration by 1.6%. This means the take-up response drives more than two-thirds of the effect on benefit payments, tripling the fiscal externality.
November 19, 2025 at 4:45 AM
Our results suggest that a 10% increase in weekly benefit would increase take-up by 4.7%, which drives a 6.2% increase in the number of benefit payments
November 19, 2025 at 4:45 AM
To identify the causal effect, we use a regression kink design (RKD) that exploits non-linearities in the benefits schedule. The intuition is that a kink in benefits should create a kink in the outcome, and we can estimate the effect by comparing the size of these kinks.
November 19, 2025 at 4:45 AM
We construct a sample of likely-eligible workers using employer-employee matched data, and then match this sample with admin records of claims and benefit payments to determine whether if a worker received benefits and the duration of their claim.
November 19, 2025 at 4:45 AM
After a job separation, a worker needs to file an initial claim, and then a ``waiting week’’ claim that will not be paid out, and then another claim the following week that can result in payment. We track workers from their job separation through these steps.
November 19, 2025 at 4:45 AM
We typically think about UI in terms of an insurance-incentive tradeoff: more generous benefits better insure workers against job loss, but also reduce the incentive to find re-employment.

But this overlooks that more generous UI may mean more workers take up in the first place!
November 19, 2025 at 4:45 AM
When take-up is incomplete, it becomes a potential margin through which workers respond to policy. In fact, one-third of non-claimants cited either benefit levels or hassle costs as a reason for not taking up UI.
November 19, 2025 at 4:45 AM
UI supports workers after they lose their job and while they look for re-employment. The standard models of UI assume perfect take-up and begin their analysis at benefit receipt.

And this is despite the fact that only half of eligible workers claim benefits in the US!
November 19, 2025 at 4:45 AM
Three main findings:
1️⃣ 10% increase in weekly benefit ➡️ 4.7% increase in take-up.

2️⃣ This take-up response triples the fiscal externality, versus when we only consider the duration response.

3️⃣ Endogenous take-up lowers the optimal benefit level by 29%.
November 19, 2025 at 4:45 AM
See below for the full paper, my website with even more research, and my email!

📝: casey-mcquillan.github.io/files/McQuil...

💻: casey-mcquillan.github.io

📧: [email protected]
casey-mcquillan.github.io
November 19, 2025 at 4:32 AM
One takeaway is that raising benefit levels is more expensive than you'd think, but the broader lesson is that incomplete and endogenous take-up is a first-order concern for the optimal design of social insurance.
November 19, 2025 at 4:32 AM
Also, recall our earlier paper estimated the MVPF for expanding UI access to low-income workers, which suggested this would be a much, much more cost-effective policy.

Different policies may affect take-up very differently.

bsky.app/profile/case...
🚨🚨🚨 NEW WORKING PAPER: "The Benefits of UI for Marginally Attached Workers" with Brendan Moore

➡️ We find that UI minimally delays re-employment, but substantially improves labor market outcomes for low-income workers

🧵1/13
November 19, 2025 at 4:32 AM
Thank you for the kind words!
November 10, 2025 at 4:01 PM
Another caveat: There are lots of workers in state and local government who were laid off as the direct result of DOGE cuts as well. I don't think people realize how much of the state and local government is actually federally funded
August 15, 2025 at 4:59 PM
Thanks Anna! I appreciate the kind words!
July 16, 2025 at 4:21 PM