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Andrew Olenski

@andrewolenski

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Assistant professor of economics @LehighU. Working on health care and industrial organization.

Bethlehem, PA
Joined September 2009
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@andrewolenski
Andrew Olenski
3 months
RT @ryanmcdevitt: Underhanded accounting throughout health care, particularly nursing homes and dialysis. Check out great paper from @ashdg….
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@andrewolenski
Andrew Olenski
6 months
RT @ashdgandhi: Many industries where the government is a major regulator, purchaser, or supplier suffer from severe worker shortages (e.g.….
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@andrewolenski
Andrew Olenski
6 months
RT @restatjournal: Payment incentives alleviate worker shortages at nursing homes. Just Accepted new paper by Ashvin D. Gandhi (@ashdgandhi….
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@andrewolenski
Andrew Olenski
1 year
For those who've made it this far, @sacher_szymon .and I thank you for following along! For more details and a dive deeper into methodology, check out the full paper!. 13/13.
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@andrewolenski
Andrew Olenski
1 year
VI is scalable, doesn't require a strict distribution (you will not find a logit error in our paper!), and very accurate (see figure). We believe that VI is well-suited for a much larger role in economics moving forward, and our paper provides a blueprint for others. 12/N
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@andrewolenski
Andrew Olenski
1 year
Intuitively, the VI approach approximates complex posterior distributions in a model with simpler families of distributions, transforming the problem into an optimization one, which computers excel at!. 11/N.
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@andrewolenski
Andrew Olenski
1 year
Instead, we use a technique called "variational inference" (VI), which comes from the machine learning literature, where estimating models with many millions (or billions) of parameters is commonplace. See this from @blei_lab for an excellent review. 10/N.
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@andrewolenski
Andrew Olenski
1 year
But what's really cool is how we estimate the model. Our model yields a *LOT* of parameters: one for each patient, which we need for the selection-correction. With ~20 million patients, that is computationally demanding! Too many for standard Bayes approaches such as sampling.9/N.
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@andrewolenski
Andrew Olenski
1 year
So, how do we develop this measure? We estimate a Bayesian model of patient choice and nursing home quality, similar to @instrumenthull's JMP. We use distance instruments to shift patient choices over facilities, in a way that is unrelated to quality. 8/N.
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@andrewolenski
Andrew Olenski
1 year
Our new quality measure also overturns conventional wisdom that better facilities fared similarly during the pandemic. We find that higher quality facilities reported fewer Covid cases and deaths, whereas both NHC and a non-corrected measure reveal little relationship. 7/N
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@andrewolenski
Andrew Olenski
1 year
What we find is surprising: there is near-zero correlation between our mortality-based measure and Nursing Home Compare ratings. This is in contrast to a naive (i.e., non-selection-corrected) quality measure, where we find a strong positive correlation with NHC. 6/N
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@andrewolenski
Andrew Olenski
1 year
To evaluate the performance of this system, we develop an alternative, selection-corrected quality measure based on patient mortality rates. Facilities don't report mortality themselves, and it doesn't factor into the ratings anyway. We benchmark our new measure against NHC. 5/N.
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@andrewolenski
Andrew Olenski
1 year
For example, studies have found that facilities fail to report when residents have serious falls or develop bed sores, while exaggerating staffing levels, so as to improve their rating. Unsurprisingly, the mean star rating has steadily climbed since the system was introduced. 4/N.
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@andrewolenski
Andrew Olenski
1 year
This @nytimes investigation finds that much of the information reported to CMS is wrong, and that nursing homes are made to appear safer and cleaner than they are. As @rn_harrington put it, firms "work to improve their ratings, but not their quality.". 3/N.
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@andrewolenski
Andrew Olenski
1 year
First, health care: measuring provider quality is hard. The public relies on a report card system (Nursing Home Compare) to help choose providers, but this system is rife with problems, and is known to be gamed by firms. 2/N.
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@andrewolenski
Andrew Olenski
1 year
Very excited to see this paper with @sacher_szymon finally accepted! We have lots of results interesting to anyone curious about health care, machine learning, Bayesian econometrics, and especially their intersection!. 🧵(1/N).
@restatjournal
The Review of Economics and Statistics (REStat)
1 year
Just Accepted new paper, “Estimating Nursing Home Quality with Selection” by Andrew Olenski and Szymon Sacher
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@andrewolenski
Andrew Olenski
1 year
RT @restatjournal: Just Accepted new paper, “Estimating Nursing Home Quality with Selection” by Andrew Olenski and Szymon Sacher https://t.….
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@andrewolenski
Andrew Olenski
1 year
RT @nberpubs: The average hospital that exploited a loophole in Medicare payments increased both Medicare and total revenue by approximatel….
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@andrewolenski
Andrew Olenski
1 year
RT @nberpubs: The structure of Medicaid payments can alleviate worker shortages in hard-to-staff healthcare jobs, from @ashdgandhi, @andrew….
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@andrewolenski
Andrew Olenski
1 year
RT @kevinrinz: This @ashdgandhi, @andrewolenski, @KristaRuffini, and Karen Shen paper out today is interesting in light of the various labo….
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