INDIRECT NETWORK EFFECTS AND THE PRODUCT CYCLE: VIDEO GAMES IN THE U.S., 1994–2002*

We examine the importance of indirect network effects in the U.S. video game market between 1994 and 2002. The diffusion of game systems is analyzed by the interaction between console adoption decisions and software supply decisions. Estimation results suggest that introductory pricing is an effective practice at the beginning of the product cycle, and expanding software variety becomes more effective later. We also find a degree of inertia in the software market that does not exist in the hardware market. This observation implies that software providers continue to exploit the installed base of hardware users after hardware demand has slowed.     

College Quality and Earnings in the Japanese Labor Market

The motivations underlying the pursuit of college prestige in Japan presumes a labor market that rewards workers according to the quality of the college that they attended. Yet studies that examine the relationship between college quality and earnings in Japan remain few and are riddled with shortcomings. This article examines the returns to college education among Japanese men using a 1995 cross-sectional data set. I find that college quality significantly improves earnings. My findings confirm that college quality plays a crucial role in shaping incentives and earnings in the Japanese labor market.     

Some Implications of Uncertainty in a Small Open Economy

Consider a small open economy which produces two commodities, the first a consumers' good and the second a producers' good, by means of a conventional no-joint-products technology. Suppose that one of the two production functions is subject to a random multiplicative disturbance and that factors of production must be allocated to the two industries before the realization of the random variable. It is known that if in the absence of uncertainty production is incompletely specialized then the same is true under uncertainty although the average output of the uncertain industry is lower. In the present paper we suppose that each of the two production functions is subject to a random multiplicative disturbance but restrict our attention to three particular cases: the polar cases of perfect correlation, positive and negative, and the intermediate case of zero correlation. It is shown that in none of these cases does there exist an obvious and complete analogue of the above proposition but that in each case something definite can be said, either about the possibility of complete specialization under uncertainty or about the effect of uncertainty on the allocation of factors (but not about both).     

EFFECTS OF TECHNOLOGY ADOPTION ON PRODUCTIVITY AND INDUSTRY GROWTH: A STUDY OF STEEL REFINING FURNACES*

This paper examines the impact of new technology on plant‐level productivity in the Japanese steel industry during the 1950's and 1960's. We estimate the production function, considering the differences in technology between the refining furnaces owned by a plant. We find that a more productive plant was likely to adopt the new technology and that the adoption would be expected to occur immediately following the peak of the productivity level achieved with the old technology. The adoption of the new technology primarily accounted not only for the industry's productivity slowdown but also for the industry's remarkable growth.     

CAPACITY EXPANSION IN MARKETS WITH INTER‐TEMPORAL CONSUMPTION EXTERNALITIES

This paper analyses market capacity expansion in the presence of inter‐temporal consumption externalities such as consumer learning, networks and bandwagon effects. An externality leads to an endogenous shift of market demand that responds to past market capacity. Whereas market capacity grows in waves, its magnitude depends on the degree of market concentration. The competitive environment contributes to S‐shaped time patterns of market capacity expansion. On the other hand, using a low introductory price, a monopolist plans an initially larger amount of market cultivation than a competitive market capacity expansion.     

NONPARAMETRIC LIKELIHOOD: EFFICIENCY AND ROBUSTNESS*

Nonparametric likelihood is a natural generalization of parametric likelihood and it offers effective methods for analysing economic models with nonparametric components. This is of great interest, since econometric theory rarely suggests a parametric form of the probability law of data. Being a nonparametric method, nonparametric likelihood is robust to misspecification. At the same time, it often achieves good properties that are analogous to those of parametric likelihood. This paper explores various applications of nonparametric likelihood, with some emphasis on the analysis of biased samples and data combination problems.