Economic Growth with Imperfect Protection of Intellectual Property Rights

This paper examines the growth effects of intellectual property right (IPR) protection in a quality-ladder model of endogenous growth. Stronger IPR protection, which reduces the imitation probability, increases the reward for innovation. However, stronger protection also gradually reduces the number of competitive sectors, in which innovation is easier than in monopolistic sectors. With free entry to R&D, the number of researchers in each remaining competitive sector increases, but the concentration of R&D activity raises the possibility of unnecessary duplication of innovation, thereby hindering growth. Consequently, imperfect rather than perfect protection maximizes growth. Welfare and scale effects are also examined.     

REDISTRIBUTIVE POLITICS AND GOVERNMENT DEBT IN A BORROWING‐CONSTRAINED ECONOMY

We develop a two‐period, three‐class of income model where low‐income agents are borrowing constrained because of capital market imperfections, and where redistributive expenditure is financed by tax and government debt. When the degree of capital market imperfection is high, there is an ends‐against‐the‐middle equilibrium where the constrained low‐income and the unconstrained high‐income agents favour low levels of government debt and redistributive expenditure; these agents form a coalition against the middle. In this equilibrium, the levels of government debt and expenditure might be below the efficient levels, and the spread of income distribution results in a lower debt‐to‐GDP ratio.     

Asymptotically unbiased estimation of autocovariances and autocorrelations for panel data with incidental trends

We consider the estimation of autocovariances using panel data with incidental trends under double asymptotics. The conventional autocovariance estimator suffers from a bias whose value is approximated by twice the long-run variance. We propose a bias-corrected estimator.     

A cointegrated commodity pricing model

We propose a commodity pricing model that extends the Gibson–Schwartz two‐factor model to incorporate the effect of linear relations among commodity spot prices, and provide a condition under which such linear relations represent cointegration. We derive futures and call option prices for the proposed model, and indicate that, unlike in Duan and Pliska (2004), the linear relations among commodity prices should affect commodity derivative prices, even when the volatilities of commodity returns are constant. Using crude oil and heating oil market data, we estimate the model and apply the results to the hedging of long‐term futures using short‐term ones.     

The effect of collaboration network on inventors' job match,productivity and tenure

It has been argued in the economic literature that job search through informal job networks improves the employer–employee match quality. This paper argues that inventors' research collaboration networks reduce the uncertainty of firms about the match qualities of inventors prior to hiring. We estimate the effect of inventors' collaboration networks on their productivity and mobility using the U.S. patent application database. It is found that networked inventors are more productive and have longer tenure than non-networked inventors. The evidence from fixed-effect regressions shows that the higher productivity and longer tenure of networked inventors are not solely attributable to unobserved ability of inventors or unobserved characteristics of firms. These results are consistent with the job match hypothesis between inventors and firms through their collaboration networks.     

Asset price fluctuations in Japan: 1980–2000

In this paper, we try to account for the recent fluctuations in asset prices in Japan using a dynamic stochastic general equilibrium model. In our model, a key to explain the land-price fluctuation is how people's expectations about future productivity growth evolve over time. Specifically, by assuming adaptive learning on the growth rate of productivity, our model can replicate the Japanese land-price fluctuations over the period 1980–2000. However, even with adaptive learning, habit persistence, and costly capital accumulation, a substantial portion of the stock-price fluctuation is left unexplained, and a puzzle remains.     

Causality-in-mean and causality-in-variance among electricity prices,crude oil prices,and yen–US dollar exchange rates in Japan

In this study, we test the Granger-causality-in-mean and Granger-causality-in-variance among electricity prices, crude oil prices, and yen-to-US-dollar exchange rates in Japan using a cross-correlation function approach. We find Granger-causality-in-mean from neither the exchange market nor the oil market to the power market; the same was true of Granger-causality-in-variance, although both the exchange rates and oil prices greatly influence power generation costs in Japan. We suspect the efficiency of this market is at play.     

Testing for overconfidence statistically: A moment inequality approach

We propose a moment inequality approach to test for the presence of overconfidence using data from ranking experiments where subjects rank themselves relative to other experimental participants. Although a ranking experiment is a typical way to collect data for the analysis of overconfidence, recent studies show that the resulting data may apparently indicate overconfidence even if participants are purely rational Bayesian updaters, in which case a set of inequalities hold. We apply state-of-the-art tests of moment inequalities to test such a set of inequalities. We examine the data from a traditional ranking experiment as well as those from more sophisticated designs.