Bailing outsourcing

In a model of organizational choice, this paper shows that in face of an increasingly expected bailout from the government, outsourcing input production to an offshore location is more likely an optimal choice for a firm. Such a response is consistent with the three trends in the US manufacturing sector after the crisis: (a) employment keeps declining; (b) massive layoffs have not stopped; and (c) imported intermediate inputs have been gaining importance.     

Noisy Directional Learning and the Logit Equilibrium

We specify a dynamic model in which agents adjust their decisions toward higher payoffs, subject to normal error. This process generates a probability distribution of players’ decisions that evolves over time according to the Fokker–Planck equation. The dynamic process is stable for all potential games, a class of payoff structures that includes several widely studied games. In equilibrium, the distributions that determine expected payoffs correspond to the distributions that arise from the logit function applied to those expected payoffs. This “logit equilibrium” forms a stochastic generalization of the Nash equilibrium and provides a possible explanation of anomalous laboratory data.     

Minimum-Effort Coordination Games: Stochastic Potential and Logit Equilibrium

This paper revisits the minimum-effort coordination game with a continuum of Pareto-ranked Nash equilibria. Noise is introduced via a logit probabilistic choice function. The resulting logit equilibrium distribution of decisions is unique and maximizes a stochastic potential function. In the limit as the noise vanishes, the distribution converges to an outcome that is analogous to the risk-dominant outcome for 2 × 2 games. In accordance with experimental evidence, logit equilibrium efforts decrease with increases in effort costs and the number of players, even though these parameters do not affect the Nash equilibria. Journal of Economic Literature Classification Numbers: C72, C92.     

Tracking the technological composition of industries with algorithmic patent concordances

ABSTRACT

Patents are a useful proxy for innovation, technological change, and diffusion. However, fully exploiting patent data for economic analyses requires linking patents to measures of economic activity, which has proven to be difficult. We construct probabilistic linkages between the U.S. Patent Classification (USPC) system and Cooperative Patent Classification (CPC) system and industry and product classifications including the North American Industrial Classification System (NAICS), International Standard Industrial Classification (ISIC), Harmonized System (HS) and Standard International Trade Classification (SITC). We use these concordances to evaluate the persistence of technology-industry relationships over time by generating linkages over different years of patent data. We find strong persistence in technology usage within industries and, until recently, relatively little change in the technology composition of industries over time. As the technology composition of industries becomes more stable, we find evidence of increased specialization. Finally, we show that industries that exhibit changing technology composition also show shifting occupational composition.