This week, a new email service, Hey.com, had their app halted (and maybe potentially removed as it had been previously listed by what Apple has called ‘an error’) because they do not offer the ability to purchase the service through the app. Without paying for the app, the Hey service is useless. Thus, Hey offers a subscription fee of $99 per year on their own site.
[Editor’s Note: This is a guest post from Professor Paul Milgrom, the co-founder and Chairman of Auctionomics, is the Shirley and Leonard Ely Professor of Economics at Stanford University.
I have been spending my quarantine absorbing research on COVID-19 — especially economic research — and, in the process, have written a book, Economics in the Age of COVID-19 that will be published at the end of the month by MIT Press.
What happened in the world of IT? Who deserves notoriety for their behavior? It is time to review 2019, and, while we are at it, make a mockery of the most noteworthy. After all, the world is already messed up, so at least let’s have a bit of fun.
The other day I wrote about the potential impact of a wealth tax. In so doing, I wrote: “we can all agree that the wealth tax likely deters risk-free saving.” This was a paraphrase of a claim made by Larry Summers who then went on to say that it was unknown whether a wealth tax would encourage or discourage risky investment.
Today is publication day for Innovation + Equality: How to create a future that is more Star Trek than Terminator (MIT Press). This is my book — co-authored with Andrew Leigh (the author of Randomistas) — the examines the relationship between having more equality and more innovation. We make the case that you can have more of both.
Thanks to this interesting debate last week between Saez, Summers and Mankiw on the wealth tax, there has been considerable discussion of the possible effects of a wealth tax.
Today we are living through one of those heady situations in which scientific, technical, and commercial frontiers all simultaneously advance in a grand interrelated dance. Advances in computer technology in the last decade opened up the potential for big gains in applications of neural networks aimed at recognizing and diagnosing visual images. Many startups and established firms are making decisions about how to develop and deploy such software, and what products to develop next.
Ajay Agrawal, Joshua Gans, Catherine Tucker, and I recently hosted the third NBER Conference in the Economics of Artificial Intelligence in Toronto. The conference provides a place for scholars from different fields of economics to discuss the implications of the rise of AI. The fields this year included macro, labor, theory, development, mechanism design, econometrics, industrial organization, finance, and health.