Sizing Up State Policy Innovation Research

In the literature on state policy innovation, there are three major explanations for what causes a government to adopt a new policy. One is the internal determinants model, which posits that the main factors leading a state to innovate are internal political, social and economic characteristics of the stale. The other two are diffusion models—the regional diffusion model, and the national interaction model—which see slate policy adoptions as emulations of earlier adoptions by other states. Each of the three models has been associated with a distinct strategy for empirical testing. The regional diffusion model has been tested with factor analysis, the national interaction model with time-series regression, and the internal determinants model with cross-sectional regression. In this paper, I explore the ability of these "single-explanation" methodologies to detect the true innovation process underlying stale policy adoptions, by applying these methodologies to data generated from simulated innovation processes with known characteristics. I find that the methodologies often yield incorrect conclusions about the character of innovation. I conclude by presenting an agenda for refining a superior alternative methodology: the event history analysis approach to state policy innovation research introduced by Berry and Berry (1990).     

The Electoral Foundations of Japan's Banking Regulation

This article locates Japan's financial policies in the context of electoral incentives. The collapse of Japan's economic bubble in 1990 exposed the rot in the banking system, hidden for decades by a Liberal Democratic Party (LDP) government intent on maintaining favor with local support groups and protecting inefficient small banks. In a move wholly uncharacteristic of Japan's postwar politics, the LDP ultimately forced the banks to absorb huge losses rather than require taxpayers to bail out their mortgage-lending subsidiaries (jusen). We compare the government's subsequent bank bailout scheme with past government action and find that the government's objectives have shifted from boosting bank profits to ensuring their prudential regulation. We conclude on an optimistic note about the prospects for more public goods-oriented politics in Japan.     

Pits and pitfalls: taxonomic variability and patterning in tooth mark dimensions

Archaeologists use experimentally derived tooth mark frequencies, locations, and size data to infer (a) the extent of carnivore involvement in the formation and modification of faunal assemblages, (b) the size classes of predators marking those assemblages, and (c) whether hominins accessed fleshy or defleshed carcasses (Blumenschine and Pobiner, 2007; Dominguez-Rodrigo et al., 2007). These inferences are often debated in part because frequency counts can vary widely among observers and because the carnivore taxa for which tooth mark dimensional data are available are limited. This study contributes to the body of actualistic/experimental tooth mark data and presents a methodology for collecting these data. We offer a greatly simplified method that may encourage others to collect and quantify tooth mark dimensions. We present dimensional data from feeding experiments with 16 omnivore and carnivore species of known age and mass, ranging in size from skunks to tigers, significantly expanding the taxonomic and size range of carnivores for which we have tooth pit data. Our results demonstrate considerable, but not complete, overlap in tooth pit dimensions among size, class, and taxon. Tooth mark dimensions on epiphyses and metaphyses were relatively strongly correlated with body mass, whereas diaphyseal tooth marks exhibited the weakest correlation. Human consumption of animal tissue produced tooth marks comparable in size to medium felids and small canids, suggesting the possibility that some tooth marks on Early Stone Age (ESA) faunal assemblages could, as suggested by Oliver (1994), result from small carnivore and/or hominin consumption.