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Christian Matthes
@cmatthes_econ
@nd_econ @NotreDame Economics Professor. @goetheuni / @nyuniversity alumnus.
South Bend, IN
Joined December 2018
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    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”. cm1518.github.io/files/MNS.pdf
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    Just received word that I got promoted to full professor here @IUBloomington . I am feeling incredibly grateful - many thanks to my advisors, coauthors, professors, and most of all my wife who moved with me across the Atlantic and back as well as across the US.
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    Have you ever wondered how to discriminate between models that are too stylized to be taken directly to the data?
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    I am blessed and excited to move to Notre Dame. A fantastic department with many great colleagues in a special university.
    GIF
    We are excited to formally announce that accomplished macroeconomist Christian Matthes from Indiana University (@cmatthes_econ) will join our department as a full professor next fall. Welcome to @NotreDame! cm1518.github.io
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    Super excited that this paper with Francesca and Mu-Chun is now forthcoming at the JME.
    Have you ever wondered how to discriminate between models that are too stylized to be taken directly to the data?
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    Man, rejections don’t get any easier to handle even after many years in the profession. Dirk Krueger told me as a PhD student that this is not the job for you if you can’t handle rejections. Good to remember on days like this.
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    Listen guys, I don’t want to brag, but it looks like Econometrica really wants to publish my work
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    Couldn’t be happier to see this tweet!
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    An hour well spent: listening to Tom Sargent on the history of macroeconomics.
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    I am not a Smets-Wouters fanboy, but don't think this paper is as decisive a takedown of that model or DSGE estimation in general as the authors and many people on twitter believe. To be clear, it is a useful exercise. But identification issues in these models are well known.
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    A beautiful short talk by Tom Sargent on how to think about Machine Learning in economics.
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    How do standard instruments in empirical macro work? We try to shed some light on this in a new paper with @PooyanAA and Mu-Chun Wang: “Understanding Instruments in Macroeconomics - A Study of High-Frequency Identification” cm1518.github.io/files/Proxy_VA…