Comments (3)
Hi just checking in here.
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@MaxGhenis Sorry for having this issue slipped through the cracks!! I was buried in finals last week.
Anderson is right. Our Social Security Benefit calculation replicates the calculator provided by SSA. The initial 'benefit rates' are positive and later on get reversed for the sake of 'MTR' in tax jargons. Parker, the contractor who did this part work, wrote a more detailed documentation on how the benefits and MTRs are calculated. Among all the assumptions made, one imposes that an individual works until 65. So I guess early withdraw is not considered. The slopes in the chart mainly reflect the step function applied on AIME. Our calculator seems to only take care of retirement benefit, rather than survivor or disability. So SSDI is probably not included in the current version.
Speaking of cliffs, I have not read extensively about how assumptions are made. But I imagine it is really about the goal of research and about how to make a contextualized assumption. Medicaid needs a cliff as well, and the MTR cliff really depends on what margin is assumed, if we already have an prior assumption that the 'benefit' amount is the insurance value. When the margin is assumed to be 1 cent, or 1 dollar, or 10 dollar, the resulting MTR would be just different by whatever is implied in the margin. But does that difference actually mean something material when normal MTRs are within 0 and 1? It depends. So.....
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Thanks, looking at Parker's PDF are retirement benefits discounted to present-day dollars? I didn't see mention of it, and that'd be pretty important. I'm wondering if that could explain the "implicit marginal benefit rate" in the range of 15%, over double the SS payroll tax rate. I'd expect them to be similar.
I asked about calculating MTR given cliffs on Economics Stackexchange, and added some thoughts of options, but haven't heard back. I put SSDI's cliff among the most significant labor response factors in welfare policy, so it'd be useful to model it if possible.
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Related Issues (20)
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