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Everyone wants to ring-fence something, but they can’t agree on what: Vickers, Liikanen, Volcker.

Can we learn something from philosophy students?

In the era of COVID and digital movements, strikes look radically different from traditional labor strikes

Justice requires that the media, policy makers, and the public understand why corporations engage in misconduct and fraud

States can be sorted into two groups with statistically significantly different productivity regimes. In this sense, the US economy shows signs of dualism—which is the idea that the economy consists of heterogeneous units that exhibit different behaviors and levels of performance.

This essay critically evaluates the benefits and costs of the dominant methodology in macroeconomics, the DSGE approach. Although the approach has led to great progress in some areas, it has also created biases and blind spots in the profession that hold back our understanding and our ability to govern the macroeconomy. There is great scope for progress in macroeconomics by judiciously pushing the boundaries of some of the methodological restrictions imposed by the DSGE approach.

It is often argued that in recent years the question of the ‘dissemination’ of economic knowledge has been increasingly addressed by historians of economics.

The title is the same as that of Maury Obstfeld’s Ely Lecture, delivered Jan 6 at the AEA meetings in Chicago. Yours truly was at the meetings mainly to deliver a paper on “Three Principles for Market-Based Credit Regulation”, about which more in a later post. And for most of the rest of the time I was locked in a hotel room interviewing candidates for an assistant professor slot at Barnard College (which gave me a good overview of the current state of macroeconomics, again fodder for a later post).

The view from BIS

When externalities are present and transaction costs are absent, private parties will strike welfare-enhancing deals regardless of who owns what. In a frictionless world, bargaining leads to efficiency. That is the essence of the Coase Theorem, and it is fiction, according to Steven Medema.

This research project proposes a large-scale simulation of how distress and growth propagate through the real economy via a network of trade credit between firms.

This research project examines the informational inefficiency of market prices in the presence of Knightian uncertainty or ambiguity by modeling the decision making of financial market traders.

This paper argues that (i) we have reached “peak GenAI” in terms of current Large Language Models (LLMs); scaling (building more data centers and using more chips) will not take us further to the goal of “Artificial General Intelligence” (AGI); returns are diminishing rapidly; (ii) the AI-LLM industry and the larger U.S. economy are experiencing a speculative bubble, which is about to burst.

Banks are pushing for deregulation and roll backs of Dodd-Frank’s regular check-ups on their financial health. We should be worried. 

Yes, it is a tale of two nations, but in a much broader way than you think. Not just England and Scotland, but an equally salient parallel between Great Britain and Canada.