
Inequality/Mobility. @NBERpubs. 3rd Year Econ PhD, The Graduate Center. 2nd Lt., @USNationalGuard. Former Congressional Staff.
Brooklyn, NY
Joined July 2009
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🚨 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
My guy @ThomasHerndon1, you're doing numbers.
Also, we need to get you a new portrait.
A 28-year-old UMass graduate student got a homework assignment to reproduce a famous economics paper, couldn't make the numbers match, and found a spreadsheet mistake in a study that politicians had used to argue for budget cuts.
His name is Thomas Herndon.
In 2010, two Harvard economists, Carmen Reinhart and Kenneth Rogoff, published a short paper called Growth in a Time of Debt. Its headline finding: once a country's public debt goes above 90% of its economy, growth falls off a cliff. In their numbers, average growth for that group was minus 0.1%.
It came out right after the 2008 financial crisis, and it spread fast. In the US, the Paul Ryan budget cited it as its only evidence on what high debt does to growth.
In Europe, an EU commissioner pointed to the research in a speech. In Britain, George Osborne cited the authors by name.
Herndon was a PhD student at the University of Massachusetts Amherst, taking a class called Econ 753: Applied Econometrics. The big assignment was to pick a well-known paper and replicate it.
He picked this one. He couldn't get the same results.
He asked the authors for their spreadsheet, and they sent it. When he spotted the problem, he called his girlfriend over to make sure he wasn't seeing things.
He wasn't.
> One formula stopped five rows short
> That quietly left out five countries: Australia, Austria, Belgium, Canada and Denmark
> Some available years of data for other countries weren't included
> The way the averages were weighted let a single bad year in one country count as much as decades in another
Herndon and his professors, Michael Ash and Robert Pollin, published the critique in April 2013. Fixing the problems, average growth for the high-debt countries came out to 2.2%, not minus 0.1%.
Reinhart and Rogoff publicly admitted the spreadsheet error. They disputed the other criticisms and defended their broader view. Economists still argue about debt and growth today.
But the formula was wrong, and for about three years nobody had publicly caught it.
A student doing homework did.
Most people assume famous research has been checked many times. Often the first person to really check it is someone with nothing to lose and an assignment due.
Have you ever found a mistake in your boss's spreadsheet and kept quiet?
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Stipends vary wildly across institutions, extending to include "no stipend." I remember I posted about this issue, and a professor at a Top 20 tried to argue with me that 'everyone in Econ PhDs get funding.' And I had to explain that her perspective was strarified.
A lot of hot takes about graduate student stipends on this site in the last few days, so I just want to share our paper with @sethbwarner from @Res_Pol from a few years ago.
journals.sagepub.com/doi/ful…
The moment we are in, with agentic work, requires journals to update. I’m no longer satisfied with journals publishing flat images of results downstream of exact parameters.
I want interactive visualizations, that allow me to adjust the parameters.
#EconTwitter
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If someone is publishing casual results —that are only significant at exactly some parameter vector specification— I want to be able to play with those parameters and see in real time how that affects the results.
In a very practical sense, this wasn’t possible 5 years ago, but now it very much is.
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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
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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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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My model projected a D+8... This looks like a D+16.
markgsheppard.github.io/2026…
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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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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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