Based on various requests, you can find the lecture materials and codes for the mini-course on "Deep Learning for Solving Dynamic Stochastic Models" here: github.com/sischei/Deep_L… Hope some of you have fun with it! Marlon Azinovic-Yang

...and my first empirical IO paper Mitsuru IGAMI. I think the learning curve on that project was steep for all of us on a different dimension :)

Thrilled to announce that I am joining the University of Guelph Gordon S. Lang School of Business and Economics as an Assistant Professor of Economics! Immensely grateful for the experiences and opportunities I had at the antitrust division Antitrust Division of the DOJ.

just moved, not Tokyo but Toronto!!

presenting new paper at NBER-SI Innovation, Wednesday 7/17 at 11:30am. Livestreaming, paper, slides here: nber.org/conferences/si… welfare analysis of product & process innovations —and how the incentive to innovate changes with market structure & mergers

Video of my talk is here at 1:59:30, youtube.com/live/MXdN58u7o… including Kevin Bryan's Kevin A. Bryan fun discussion, Q&A with innovation all-stars: Philippe Aghion, Shane Greenstein, Chris Snyder, Tim Simcoe... *NBER will delete it after a week or so.

Asia-Pacific IO Conference on December 13–15 in Seoul, Korea: A dozen invited speakers sprinkle the program, including myself! Submission deadline = Septemer 1 sites.google.com/view/apioc-202…

Macro paper about climate change—by someone who actually knows physics

On September 3, 2024, my beloved wife, best friend, and the wonderful mother of our daughter Leah, Akiko Uetake, passed away peacefully. Since June, Akiko had been battling breast cancer, which a renowned doctor at Yale Smilow Cancer Center described as “the most aggressive

I'm hiring a postdoc. JOE listing here: aeaweb.org/joe/listing.ph…

We show competition-innovation relationship in LCD industry, with detailed data & simple model (BLP) New version here papers.ssrn.com/sol3/papers.cf… "Welfare Gains from Product and Process Innovations" with Shoki Kusaka Jeff Qiu & T. L. Tran

Preferential assignment algorithms favor more committed ride-hailing drivers who earn 8% more per hour than non-favored drivers. Eliminating preferential assignment raises ride fares by 7.8%, hurts consumers and platform profits, but also raises flexibility benefit for drivers.

Shooting down the inverted-U: enjoyed talking about competition & innovation at the UK Competition & Markets Authority dropbox.com/scl/fi/tnqthaq…

It was great seeing you there!

Enjoyed tons of high-quality research presentationa at the Asia Pacific Industrial Organization Conference (APIOC) in Seoul, Korea. ---And then there was a mandatory group photo session, of course!

🚨Two weeks remaining to apply to the summer school on "Deep Learning for Dynamic Stochastic Models", and to submit papers to the subsequent conference!🚨 Deadline: April 30th, 2025 Here is the link: sites.google.com/carloalberto.o…

Some recent conference/seminar trips: (1) Berry inversion, (2) Tsinghua, (3) Japanese Economic Association (Chukyo U, Nagoya), (4) Bates White

Discussing Dix & Lensman, one of the best job-market papers in 2024-2025 season, at NBER-SI-Innovation tomorrow Tuesday at 9:30-10:20 AM (ET). Livestreaming available, too nber.org/conferences/si…