Mark G. Sheppard (@markgsheppard) header
Mark G. Sheppard (@markgsheppard) profile picture

Inequality/Mobility. @NBERpubs. 3rd Year Econ PhD, The Graduate Center. 2nd Lt., @USNationalGuard. Former Congressional Staff.

Brooklyn, NY
Joined July 2009
🚨 New WP "The Inequality of Recessions" 🚨 Investigates many #SahmRule #Recession indicators, expanding on the work of @Claudia_Sahm. Showing downturns are detectable sooner within vulnerable groups and more comprehensive measures of underemployment. Finding that recessions hit some groups/places/sectors first. papers.ssrn.com/sol3/papers.… #EconTwitter #JobsReport
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Just wanted to put out there to @HarvardEcon that I will 100% be a scab for any/all online classes.
Harvard PhD students are on strike, postdocs and lecturers will probably join next week. Harvard PhD students obviously enjoy great privilege, but this privilege is not reflected in our wages. Here is a comparison to my "alma mater". There is room to move.
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I was awarded an AI Innovation Research Grant @CUNY #EconTwitter
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Liberals won an improbable map, largely by running moderates in deep-red states, with swings up to D+26. Proving outreach works and partisanship can be overcome. Liberals need to use the mandate to foreground economic policies that improve the material well-being of Americans. #EconTwitter
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Republicans lost the districts that they newly gerrymandered. #EconTwitter
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Mark G. Sheppard retweeted
Uhhhh, Scott Colom leads in Mississippi by 28 votes.
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In a D+5 state, in what looks like will end up being a D+16 election, El-Sayed is somehow running a nail-biter race.
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I love that agents have lowered the barrier to entry for interactive visualization, but we need to include mean reversion and/or some measure of polling bias in these models so we don't repeat 2016.
Built my dashboard for the evening ... Starting from my model predictions (based on polls) as priors, it will update and rerun the model as county level returns start coming in, based on a factor-model for polling error. Also reports updated betting market numbers all under one roof. [Did a simulation of the 2022 evening, seemed to work pretty well.] I'll post some updates over the course of the evening, provided it doesn't crash out.
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I do the same thing at my Statistics class @BklynCollege411.
Students in my elections class had to turn in forecasts for the midterms. Throughout the first 8 weeks of the semester, we learned how to build models and make forecasts for all House and Senate races in this year's midterms elections. Here's how they turned out 1/n
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I appreciate this exercise in general. Econ. policy is downstream of politics, and it's wrong to pretend otherwise. I appreciate Prof. @JasonFurman registering his priors, then giving voters a step-by-step guide that punctuates with the limits of his expertise.
Replying to @jasonfurman
I have views on the other propositions as well but none grounded in my economic policymaking knowledge so I'm not sharing them here--I don't think everyone needs to share their opinion on everything here. At least that's my opinion--but admittedly not something I'm expert on!
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In general I wish economists were more transparent about: priors, biases, policy preferences, limits, parameter sensitivity, and so on. So for a professor of practice to put all that to practice, is genuinely nice for me as an up-and-coming economic policy junior scholar.
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Final 2026 forecast: Democrats favored for a thin sweep. House 229–206, Senate 51–49, with Ohio the tipping point. Dems are running ahead of state baselines almost everywhere; Michigan is the exception. markgsheppard.github.io/2026… #EconTwitter
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1. I love that AI makes making data visualization more accessible 2. The problem here is that the WB's definition of "poverty" is a very, very, very, very low threshold to clear for any advanced economy.
1. More billionaires are associated with less poverty. 2. Increasing billionaires per capita by ten fold lowers poverty by 43 percentage points. 3. Sweden has more billionaires per 10M people than the U.S. (34 vs 30) 4. Correlation is fairly strong (R-squared of 0.6 for two variable cross-section data) 4. Since the graph is only a correlation, what do you think is the cause? 🔗in🧵
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Mark G. Sheppard retweeted
Thank you Jason Furman @jasonfurman for creating this. As noted by many, this AI evaluation of Saez and Zucman is essentially worthless, replete with the treatment of modelling choices and judgments as mistakes. Overall, very unimpressed with the current use of AI to critique papers. With reference to critics, if someone uses AI and finds an error in a paper, the author(s) should be contacted to see whether there is an explanation before a grand public announcement is made. With reference to journals, protocols need to be developed now so that the products of these exercises, if valid, quickly appear *in the journal* as errata. The existing system for assessing comments on papers, already working poorly, is completely unequipped to address the widespread reevaluations that are coming.
If you believe that mindless AI evaluations are legitimate then why would you spread the evaluation of Saez & @gabriel_zucman without first subjecting it to its own mindless AI evaluation? I just did and it turns out the critic's errors all go in one direction.
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Today is my birthday! I encourage my students to create group chats and work together. Today my students let me know that sometimes they take pictures of me during lectures, make stickers of my expressions, and then roast me in the group chat 😂 honestly funniest bday gift ever. #EconTwitter
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Mark G. Sheppard retweeted
If you believe that mindless AI evaluations are legitimate then why would you spread the evaluation of Saez & @gabriel_zucman without first subjecting it to its own mindless AI evaluation? I just did and it turns out the critic's errors all go in one direction.
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I made an explainer video for my WP "The Inequality of Recession" that extends the @Claudia_Sahm rule to different labor market data, hopefully the video makes this work a bit clearer for a broader audience. Website: inequalityofrecession.com #EconTwitter
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Mark G. Sheppard retweeted
Nate Silver thinks this election could mark "the end of the Trump era." Out on the podcast tomorrow.
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