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Christian Matthes Profile
Christian Matthes

@cmatthes_econ

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@nd_econ Economics Professor. @goetheuni / @nyuniversity alumnus.

South Bend, IN
Joined December 2018
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@cmatthes_econ
Christian Matthes
10 days
How can we leverage existing results that use cross-sectional identification to estimate aggregate effects? Felipe Schwartzman (@MacroInPieces), Naoya Nagasaka, and I address this problem in our new paper “Estimating the Missing Intercept”. https://t.co/nNbkMesAYu
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@cmatthes_econ
Christian Matthes
6 days
Let’s go!
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@cmatthes_econ
Christian Matthes
6 days
These would all be great choices. Stock & Watson would be another one I'd love to see.
@BachmannRudi
Rudi Bachmann
7 days
Econ Nobelprize Predictions. One of the three: 1) Pakes, Berry, Porter or Breshnahan for IO. 2) Melitz, Kortum, Grossman for trade. 3) Woodford, Taylor, Gertler or Gali for the science of monetary policy.
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@cmatthes_econ
Christian Matthes
8 days
The Fed can’t go wrong hiring macro people with an NYU background!
@Austan_Goolsbee
Austan Goolsbee
8 days
Thrilled to announce that John Leahy will become the @chicagofed’s next director of research John, the Allen Sinai Professor of Macroeconomics and Public Policy and chair of the Econ dept. at @umich, is a lovely guy and a fabulous economist. Welcome to Da Bank, John.
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@cmatthes_econ
Christian Matthes
8 days
Decades of bad policy decisions in one graph.
@Brad_Setser
Brad Setser
9 days
Germany has absolutely gotten clobbered by the second China shock (the Russian gas shock/ phasing out Nuclear also didn't help) 1/
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@JesusFerna7026
Jesús Fernández-Villaverde
10 days
I was thrilled to learn this morning that John Clarke, Michel Devoret, and John Martinis have won the 2025 Nobel Prize in Physics “for the discovery of macroscopic quantum mechanical tunnelling and energy quantisation in an electric circuit.” Quantum tunnelling might sound
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@cmatthes_econ
Christian Matthes
10 days
Essentially, the assumptions and results from those methods constrain the ways in which the policy of interest affect individual units. Because the factor structure allows for data reduction, those constraints are more than enough to help us find the aggregate effects.
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@cmatthes_econ
Christian Matthes
10 days
The main insight is this: The presence of aggregate shocks implies a factor structure in forecast errors at the local level. Cross-sectional identification methods can be used to identify factors of interest, capturing the effects of the policies of interest on every local unit
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@cmatthes_econ
Christian Matthes
10 days
The paper tries to resolve a tension in much of recent macro (and more broadly applied empirical) work: Cross-sectional data provides a lot of useful information, that can be leveraged to credibly identify and estimate the effects of various policies. But that credible
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@cmatthes_econ
Christian Matthes
11 days
Highly recommended!
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@cmatthes_econ
Christian Matthes
14 days
Great thread!
@Afinetheorem
Kevin A. Bryan
15 days
@joshgans and I did an internal talk on AI for research. Mostly demos, so no slides, but broadly: 1) Research should be efficient, open & replicable. 2) AI helps will all three. 3) Always use the best model. 4) Structure your processes/tools/etc. so you can continue to do 3. 1/15
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@cmatthes_econ
Christian Matthes
16 days
An amazing find - all these quotes are fantastic.
@Jon_Hartley_
Jon Hartley
16 days
In 1984, Forbes interviewed many macroeconomists for an article “The Rebirth of Free Market Economics” & asked each what school they belong to “neo-Keynesianism” or “ratex” for rational expectations. Tom Sargent said “Keynesianism and Monetarism, they’re both gone, they’re dead”.
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@cmatthes_econ
Christian Matthes
18 days
Including "The Consumption Origins of Business Cycles: Lessons from Sectoral Dynamics" joint with @MacroInPieces - amazing to see the paper finally out in print.
@AEAjournals
AEA Journals
18 days
The October 2025 issue of AEJ: Macroeconomics (17, 4) is now available online at https://t.co/3UECsbYgoM.
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@Mononofu
Julian Schrittwieser
19 days
As a researcher at a frontier lab I’m often surprised by how unaware of current AI progress public discussions are. I wrote a post to summarize studies of recent progress, and what we should expect in the next 1-2 years: https://t.co/B7438Z9lOF
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@Matt_Fortuna
Matt Fortuna
20 days
Nice feature from @JenLada on Notre Dame RB Jeremiyah Love, whose doctor told his parents that he could be on the spectrum. His father Jason: “It’s not a weakness, that’s his superpower.” Jeremiyah: “Someone will probably think I’m crazy, but I feel like for that certain group
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@nd_econ
Notre Dame Economics
23 days
We are hiring (again!). We are searching for up to four tenure-track hires. Two of these are open-field/open-rank. Two are endowed at the full professor level -- one with a focus on applied micro and poverty, the other with a focus on demography.
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@JesusFerna7026
Jesús Fernández-Villaverde
27 days
⏳ Time to reorganize universities from scratch? I have been thinking a lot about what it means to be a university in 2025, once AI has arrived. My approach to learning new topics has undergone a significant change. Instead of relying only on textbooks or papers, I now integrate
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@DomenicoGiannon
Domenico Giannone
27 days
How real-time data misled policymakers during the post-COVID recovery https://t.co/T6SISjaj3W # via @cepr_org
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