Gautam Gowrisankaran
@GGowrisankaran
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Thread on my forthcoming JPE paper with @ProfALanger and Wendan Zhang. Looking forward to seeing this in print!”
Recently the President ordered that coal generators don’t need to comply with the Mercury and Air Toxics Standard (MATS). My forthcoming JPE paper with @GGowrisankaran and Wendan Zhang on uncertainty surrounding MATS. Time for a thread!
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New working paper is out! “Policy Uncertainty in the Market for Coal Electricity: The Case of Air Toxics Standards” is joint with @ggowrisankaran and Wendan Zhang. Let me explain why we’re excited about this project! 🧵 https://t.co/ApeK4JY7tg Ungated:
nber.org
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Hey @steventberry, @autoregress, @basucally, @sebafle, @MartinSGaynor, @EconTony, @Jabaluck, I thought you might be interested in my thread on Stata code to estimate hospital quality in a selection model (check out my last tweet).
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We’re here to help! If you’d like to use the code (for anything from covid-19 care quality to school outcomes), download it: “ssc install ggt,” read the help file, and then contact us if you have questions. 7/7
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This sounds like it might be really hard to implement! That’s where our (beta) Stata code comes in. You need to format the data in the right away. But it’s about as difficult as what you’d do in estimating a multinomial choice model in Stata. 6/7
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The paper uses Bayesian estimation methods. Why Bayesian? The methods are helpful in extracting a limited signal from a lot of noise. *Think shrinkage estimator.* They efficiently combine aspects of fixed-effects and random-effects estimators. 5/7
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The paper (and code) combine choice and mortality models to separate out the parts of mortality that are due to selection and quality. Identification requires an exclusion restriction. We used distance; others use ambulance referrals. What might be good ones for covid-19? 4/7
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Why might selection matter? Sicker patients may choose higher quality hospitals. If we just looked at covid-19 death rates by hospital, this will then pick up both the quality of care and unobserved patient severity, resulting in biased estimates. 3/7
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The Stata code is based on a paper in Econometrica (@econometricsoc) with John Geweke and Robert Town that addresses the difficult problem of estimating hospital quality when selection matters and is based on unobservables. 2/7 https://t.co/gPlRMxRGD1
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As we look to understand the coronavirus pandemic, it seems increasingly important to evaluate hospital performance. But, estimating hospital quality is very difficult. Together with @KelliMarquardt, we created Stata code that can help. 1/7 https://t.co/sIuLlfGmJP
ideas.repec.org
This program estimates the parameters of the Geweke, Gowrisankaran, and Town (Econometrica, 2003), GGT model. The GGT model estimates the posterior distribution of organizational performance where the
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@KingWolfy182 @gfdedcba hi Ming Feng can you like this?
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Hey @TucsonKids, could you help me with a like for this tweet for my fifth grader in Tucson?
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