It has been a while since my last post on the Volokh Conspiracy. In 2021, I became associate dean at George Washington and did not have time to write. Last year, I switched associate dean roles and my portfolio became smaller, so I was fortunate to have some time to return to scholarship and to complete several articles. I’ll begin my return to blogging by writing a series of posts offering shorter versions of the key arguments in a recently completed article that I have now submitted to law reviews, entitled The Cost of Justice at the Dawn of AI.

Abstract

Enrolling financiers is critical to new venture success. Building on the challenges of communicating novel and complex projects under Knightian uncertainty, we describe two approaches—the opportunity discovery path vis-à-vis the effectuation/bricolage path—entrepreneurs and financiers can use to resolve alternative sources of uncertainty sequentially rather than simultaneously.

Abstract

While modern mathematical models of settlement bargaining in litigation generally seek to identify perfect Bayesian Nash equilibria, previous computational models have lacked game theoretic foundations. This article illustrates how computational game theory can complement analytical models. It identifies equilibria by applying linear programming techniques to a discretized version of a cutting-edge model of settlement bargaining. This approach makes it straightforward to alter some assumptions in the model, including that the evidence about which the parties receive signals is irrelevant to the merits and that the party with a stronger case on the merits also has better information. The computational model can also toggle easily to explore cases involving liability rather than damages and can incorporate risk aversion. A drawback of the computational model is that bargaining games may have many equilibria, complicating assessments of whether changes in equilibria associated with parameter variations are causal.

Read at SSRN.

Abstract

In this paper, I make the case for a nominal GDP level target in the U.S. I begin by arguing that the Federal Reserve’s current flexible average inflation targeting regime is deficient. I then argue that since a competitive monetary equilibrium is optimal, monetary policy should seek to replicate the competitive monetary model. Doing so resembles nominal GDP targeting. Finally, I offer the following practical reasons why policymakers might prefer a nominal GDP target. Nominal GDP targeting (a) does not require policymakers to determine whether current economic fluctuations are demand-driven or supply-driven nor does it require real-time estimates of the output gap, (b) automatically prevents the central bank from exacerbating supply shocks, and (c) leads to greater financial stability.

ICLE Chief Economist Brian Albrecht was a guest on the Lead-Lag Live podcast to discuss the issues of market concentration, inflation, and the role of “superstar” firms in the economy. Audio of the full episode is embedded below.

Cable and satellite companies often get a bad rap for early termination fees (ETFs). Consumer advocates portray them as “junk fees” or billing traps meant to cheat customers. And the Federal Communications Commission (FCC) appears to accept these allegations at face value, characterizing ETFs as “junk fee billing practices … that penalize subscribers for terminating video service or switching video service providers.”

Read the full piece here.

In an announcement that was treated to mild fanfare (meaning it was reported by certain tech blogs, but largely ignored elsewhere), Federal Communications Commission (FCC) Chair Jessica Rosenworcel asked her fellow commissioners in June 2023 to support a formal notice of inquiry (NOI) to learn more about how broadband providers use data caps on consumer plans. The FCC simultaneously opened a “data portal” soliciting “narrative information” about consumers’ experiences with data caps.

But more than half a year later, the NOI has not been issued and none of the information from the data portal has been publicly released.

Read the full piece here.

ICLE Academic Affiliate Lynne Kiesling was a guest on the The Answer Is Transaction Costs podcast to discuss distributed energy resources (DERs) and the complex regulatory frameworks that shape smart-grid technologies. The full episode is embedded below.

Despite Biden’s attempts to “end fossil fuel” some basic economic analysis indicates his efforts are not in line with what the public wants. If you think back to your Econ 101 class, you’ll probably remember something called revealed preference.

This basic insight of economics says that people’s actions in a market place are a much better indicator of what is going on in their heads than asking them in a poll. Someone might tell you they like Biden’s attempts to kill off reliable, inexpensive energy, but when the rubber meets the road, their purchasing decisions say otherwise.

Read the full piece here.