Central bank interventions and jumps in double long memory models of daily exchange rates

In this paper, we estimate ARFIMA–FIGARCH models for the major exchange rates (against the US dollar) which have been subject to direct central bank interventions in the last decades. We show that the normality assumption is not adequate due to the occurrence of volatility outliers and its rejection is related to these interventions. Consequently, we rely on a normal mixture distribution that allows for endogenously determined jumps in the process governing the exchange rate dynamics. This distribution performs rather well and is found to be important for the estimation of the persistence of volatility shocks. Introducing a time-varying jump probability associated to central bank interventions, we find that the central bank interventions, conducted in either a coordinated or unilateral way, induce a jump in the process and tend to increase exchange rate volatility.     

Fiscal Stimulus in Times of High Debt: Reconsidering Multipliers and Twin Deficits

We investigate the impact of fiscal stimuli at different levels of the government debt‐to‐GDP ratio for a sample of 17 European countries from 1970 to 2010. This is implemented in an interacted panel VAR framework in which all coefficient parameters are allowed to change continuously with the debt‐to‐GDP ratio. We find that responses to government spending shocks exhibit strong nonlinear behavior. While the overall cumulative effect of a spending shock on real GDP is positive and significant at moderate debt‐to‐GDP ratios, this effect turns negative as the ratio increases. The total cumulative effect on the trade balance as a share of GDP is negative at first but switches sign at higher levels of debt. Consequently, depending on the degree of public indebtedness, our results accommodate long‐run fiscal multipliers that are greater and smaller than one or even negative as well as twin deficit and twin divergence behavior within one sample and time period. From a policy perspective, these results lend additional support to increased prudence at high public debt ratios because the effectiveness of fiscal stimuli to boost economic activity or resolve external imbalances may not be guaranteed.     

Simulación de la tasa de reciclaje de productos electrónicos Un modelo de dinámica de sistemas para la red de logística inversa

Current trends in the development and innovation of information technologies and shorter life cycles of electronic products have resulted in the generation of large amounts of waste (e-waste) which can potentially cause environmental problems due to the toxicity of some of their components. The e-waste problematic has attracted the attention of governments, companies and consumers that look to identify strategies for the management and proper disposal of e-waste with the goal to protect the environment. This work uses the methodology of system dynamics to simulate how the rate of products returned by individuals and the amount of computers recovered in an open-loop reverse supply chain, varies under different scenarios. The simulated scenarios correspond to the possible combinations of five macro factors: rate of innovation and product life cycle, information available to consumers about e-waste recycling, legislation, e-waste programs structure along with diffusion and publicity efforts. The results of the simulation are relevant to identify over which factors it is convenient to intervene to increase the amount of recycled computers because this amount represents a reduction in the volume of e-waste and an enterprise opportunity to generate earnings from recycling computers.     

How Large Are Housing and Financial Wealth Effects? A New Approach

This paper presents a simple new method for measuring “wealth effects” on aggregate consumption. The method exploits the stickiness of consumption growth (sometimes interpreted as reflecting consumption “habits”) to distinguish between immediate and eventual wealth effects. In U.S. data, we estimate that the immediate (next quarter) marginal propensity to consume from a $1 change in housing wealth is about 2 cents, with a final eventual effect around 9 cents, substantially larger than the effect of shocks to financial wealth. We argue that our method is preferable to cointegration‐based approaches, because neither theory nor evidence supports faith in the existence of a stable cointegrating vector.     

Random Walks and Market Efficiency Tests of Latin American Emerging Equity Markets: A Revisit

The few existing studies on equity price dynamics and market efficiency for Latin American emerging equity markets show conflicting results. This study uses multiple varianceratio and auto-regressive fractionally integrated moving-average tests and new data (U.S. dollar-based national equity indices for the 1987–1997 period) to clarify these results. Documented evidence shows that equity prices in major Latin American emerging equity markets — Argentina, Brazil, Chile and Mexico—follow a random walk, and that they are, generally, weak-form efficient. In sum, therefore, the evidence suggests that international investors in these markets cannot use historical information to design systematically profitable trading schemes because future long-term returns are not dependent on past returns.     

基于马克思扩大再生产理论的内生经济增长模型

本文在马克思扩大再生产图式的基础上建立了一个内生经济增长模型,揭示了马克思用扩大再生产图式表达的经济增长理论的内生增长特性,并进一步讨论了该经济增长模型中的转移动态。     

Economic mobility along the business cycle. The case of Peru

The performance of Latin American countries in reducing poverty and expanding the middle class has been remarkable. By taking a close look at the Peruvian experience, we examine how this aggregate behavior relates to business cycle conditions and whether different population groups share this behavior. We find that social mobility is cyclical; it decreases in recessions but increases with strong economic growth. The reduction in poverty in Peru appears to be the result of a sustained increase in the poverty exit rate together with a prolonged decrease in the poverty entry rate. These results hold among heterogeneous groups and are particularly marked for households regarded as initially disadvantaged.     

REPRESENTATIONS AND INFLUENCE PROCESSES IN GROUPS: TOWARDS A SOCIO-COGNITIVE PERSPECTIVE ON COGNITION IN ORGANIZATION

The cognitive approach to organizations assumes the existence of collective representations in organizations. This article critically examines this assumption and proposes the adoption of a socio-cognitive perspective on collective cognition in organizations. This theoretical current, which rejects the traditional individual/social dichotomy and relies on the concept of social representation, advocates the study of social cognition, which implies a change in the unit of analysis from the individual/social levels to interactions. A collective representation is viewed as being related to the socio-cognitive dynamics occurring between interacting group members. Communication and influence processes are thus critical to the construction of a collective representation. The socio-cognitive perspective, and the theory of social influence which it involves, can offer new and important insights on everyday thinking and behaving in organizations. However, this perspective calls for new methodological approaches to the study of organizational cognition.     

供应链管理中的系统科学思想

供应链是一个由供应商、制造商、零售商等组成的经济系统。系统科学理论是供应链管理中的重要思想方法。供应链系统具有整体涌现性、稳定性、动态性、开放性、自适应性等,结合已有的供应链管理理论可以解释供应链的这些特点。而供应链的动态性包括有序变动和结构变动。在企业运营活动中,需要针对供应链系统的这些属性,分别采取相应的管理策略,如：供应链整合、供应链结构、供应链中的信息传递和共享以及供应链机制设计。     

产业集聚效应的系统动力学模型研究

以系统动力学理论为基础，结合产业集聚效应的正反馈特征，对人才流、技术流、资金流和市场流的因果关系进行了探讨。通过产业集聚效应衡量方法的比较，构建系统动力学模型，分析制约产业集聚效应发挥的主要因素，提出加强政府投资力度、发挥市场机制作用和提高企业整体能力的建议。