Birth,Death, and Consumption: Overlapping Generations and the Random Walk Hypothesis

This paper studies the time-series behavior of consumption in a model that incorporates birth, death, and a precautionary motive for saving. Consumption of an individual agent is a random walk. However, aggregate consumption is a random walk if and only if the sum of the death rate and population growth rate is zero. Failure of the random walk hypothesis should not be attributed to finite horizons perse, but rather to inter-generational transfers caused by birth and death. Unlike certainty-equivalent models, the expected growth of consumption depends on financial wealth, rather than wage income or human capital. [D91, E21]     

Are you really doing good things in your boss's eyes? Interactive effects of employee innovative work behavior and leader–member exchange on supervisory performance ratings

Organizations increasingly depend on employee efforts to innovate. However, the quality of relationships between leaders and employees may affect the recognition that employees receive for their innovative work behaviors. Drawing from a social cognition perspective, we tested a model in which leader–member exchange (LMX) moderates the impact of employee innovative work behavior on supervisory ratings of employee performance. Results from two multisource studies combining self, colleague, and supervisor ratings consistently showed that employees receive more favorable performance ratings by engaging in innovative work behavior when they have high‐quality LMX relationships. Moreover, we found that this interactive relationship was mediated by leader perceptions of innovative employee efforts, providing support for a moderated mediation model. Implications for the literatures on performance appraisal, LMX, and innovation are discussed.     

Bayesian Inference in Spatial Sample Selection Models

In this study, we consider Bayesian methods for the estimation of a sample selection model with spatially correlated disturbance terms. We design a set of Markov chain Monte Carlo algorithms based on the method of data augmentation. The natural parameterization for the covariance structure of our model involves an unidentified parameter that complicates posterior analysis. The unidentified parameter – the variance of the disturbance term in the selection equation – is handled in different ways in these algorithms to achieve identification for other parameters. The Bayesian estimator based on these algorithms can account for the selection bias and the full covariance structure implied by the spatial correlation. We illustrate the implementation of these algorithms through a simulation study and an empirical application.     

The Role of Central Government in Tax Competition Between Heterogenous Regions

This paper analyzes the role of central government in a Nash tax competition between two heterogenous regions, which differ in their endowments of two production factors. Regional governments use a source-based unit tax on mobile capital to finance their public service expenditures. The central government employs excise subsidies and lump-sum taxes to induce the two regions to efficient resource allocations. We answer to the question that whether the central government can induce an efficient equilibrium, and investigate the effects of endowments difference on the optimum subsidy rates. We find that there exists a unique tax rate under which the efficiency is achieved. We identify the set of endowment allocations for which the subsidy rate to one region is higher (or lower) than the subsidy rate to the rival. The large poor region receives a higher subsidy than the small rich region, but the subsidy to the small poor region may be higher or lower than that to the large rich region. [H2]     

Product Patent Reform and its Impact on Korea's Pharmaceutical Industry

Our analysis focuses on the effect of U.S. government pressure on Korea to adopt product patents for chemical and pharmaceutical products. American pressure began in November 1985 and ended with the Korean Legislature's passage of a new patent law in December 1986. We conduct an event study of the effect of the new patent law on the value of Korean pharmaceutical firms listed on the Korea Stock Exchange. Regression analysis shows that the new law induced excess returns of-74 percent over the 14-month analysis period. The results suggest that adoption of stronger patent laws reduced Korea's wealth. [G14, O34]     

美国对华出口管制与美对华贸易逆差:实质与对策

本文运用实证分析方法,对美国对华技术出口管制的历史和现状进行较为系统、深入的分析研究．指出美国对华技术出口管制是造成美对华贸易逆差的主要原因;并就促进美国对华技术出口、实现中美贸易平衡问题,提出了对策和建议。     

社会主义财技术及其“大金融”观

本文提出了“社会主义财技术”的新思想,倡言社会主义光明的未来,主张树立“大金融”观,实施“大融合”方略,以推动中国经济突破极限,走向光明的未来     

Morphogenetic economics: Change- amplification by causal loops

The monetarist, Keynesian, and supply side theories are based on the concept of equilibria. But in reality the relations among variables may build causal loops that are change-amplifying. The morphogenetic economic the ory includes in its analysis both change-amplifying and change-counteracting causal loops. In the existing economic theories, the major policy tools are money supply and government expenditure. But in the morphogenetic economics, some other elements can be seen as effective policy tools, depending on the node factor, the velocity, and the strength of the causal loops they belong to. The present overdependence on money supply or government expenditure as main tools of economic policy is inadequate. Furthermore, the morphogenetic economics differs from the existing economic theories in its calculation of the level of equilibria and of crowdingout effects.     

发思古之幽情--嘉峪关、天水二城纪略

从城市定位上来看,嘉峪关应该是个工业城市,但因为有着特殊的旅游资源,所以近年来旅游及相关产业得到大幅增长。天水一直是西北地区重要的工业城市,特别是在国家“三线”建设时期,沿海城市的一批企业相继搬迁天水后,天水作为地区工业基地的地位更得到强化。     

Farsighted strategies in the formation of a communication network

I examine the formation of a specific communication network, a variant of the two-way flow model, in which agents have farsighted strategies. I show that the likelihood to form efficient networks tends to zero for sufficiently large network sizes.