Capital Flows to Latin America (2003–17): A Critical Survey from Prebisch’s Business Cycle Theory

ABSTRACT

The economic literature on capital flows to developing countries has shared two important commonalities since the 1990s. Published works (whether they focus on the external situation or stress the domestic determinants of capital flows) tend to assume a beneficial effect of capital inflows, which leads to an improvement of peripheral institutions, whose deficiencies are ostensibly the main cause of economic turmoil and/or failure in attracting capital flows, in continuity with New Institutional Economics. In doing so, mainstream economists deliberately overlook the asymmetric characteristics of the international monetary system and the persisting hegemony of dollar. Raul Prebisch’s pioneering work on business cycles in Latin America provide an alternative view, one capable of amending the existing mainstream literature. On the one hand, Prebisch stressed the destabilizing role of capital inflows on Latin American economies, particularly short-term speculative capital. On the other hand, Prebisch designed a set of counter cyclical monetary policies in order to contrast capital volatility, particularly during downturns. An analysis of stylized facts shows that, when correctly updated, Prebisch’s theory has remarkable explanatory potential when applied to Latin America’s current economic and financial situation.     

Organizational versus Market Knowledge: From Concrete Embodiment to Abstract Representation

Synopsis In contrast to the neoclassical economic presumption in favor of markets, we argue that organizations, not markets should be taken as our default assumption. We do so on information processing grounds. We distinguish between Zen and market Knowledge. The first is embodied and hard to articulate and the second abstract-symbolic. In human evolution, the first type of knowledge came first, and, on any pragmatic definition of knowledge, it still incorporates most of what we mean by the term. We take codification and abstraction as the two data processing activities that lead to the articulation of knowledge into an abstract-symbolic form. We develop a conceptual framework, the Information-Space (I-Space) to show how far the articulation of knowledge leads to its being shared. Whereas an unlimited sharing of information and knowledge leads to market-oriented outcomes, a more limited sharing leads to organizational outcomes. A market-oriented economics has tended to look to physics for its models; the field of organization theory has tended to look to biology. A more organization-oriented economics would thus look more to biology for its models.     

Regionalization, public spending and growth: a stylized model dealing with ‘predatory states’

In this paper, a micro-founded model analyzing the effects of ‘regionalization’ on economic activity is developed. It shows that the spatial division of public competencies can have an impact on the growth rate via the efficiency of governmental choices: initially advantageous for weak levels, decentralization (/reduction of regional size) becomes limited due to the risk of underestimation of the real profitability of public expenditure by local governments (non-internalized cross-border effects). In accordance with the theory, a transversal estimation for a sample of 51 countries for the 1990s establishes a ‘bell-shaped’ relation between indicators of regionalization and the quality of governance.     

Inferring repeated-game strategies from actions: evidence from trust game experiments

Summary. Combining a strategy model, an inference procedure and a new experimental design, we map sequences of observed actions in repeated games to unobserved strategies that reflect decision-makers’ plans. We demonstrate the method by studying two institutional settings with distinct theoretical predictions. We find that almost all strategies inferred are best responses to one of the inferred strategies of other players, and in one of the settings almost all of the inferred strategies, which include triggers to punish non-cooperators, are consistent with equilibrium strategies. By developing a method to infer unobserved repeated-game strategies from actions, we take a step toward making game theory a more applied tool, bridging a gap between theory and observed behavior.Received: 23 December 2002, Revised: 19 April 2005, JEL Classification Numbers: C72, C80, C90.The authors are indebted for discussions with Ray Battalio, David Cooper, Robin Dubin, John Duffy, Ellen Garbarino, Susan Helper, Margaret Meyer, John Miller, Jim Rebitzer, Mari Rege, Al Roth, and John Van Huyck. The authors also benefited from discussants at economic department seminars at Case Western Reserve, McMaster and McGill University, University of Pittsburgh, SUNY-Stony Brook, and Texas A&M, and participants at the 2002 European Winter Meeting of the Econometric Society. We are grateful for the financial support provided by the Department of Economics at the University of Pittsburgh and Case Western Reserve University.     

Estimating the Size of a Criminal Population from Police Records Using the Truncated Poisson Regression Model

The truncated Poisson regression model is used to arrive at point and interval estimates of the size of two offender populations, i.e. drunk drivers and persons who illegally possess firearms. The dependent capture–recapture variables are constructed from Dutch police records and are counts of individual arrests for both violations. The population size estimates are derived assuming that each count is a realization of a Poisson distribution, and that the Poisson parameters are related to covariates through the truncated Poisson regression model. These assumptions are discussed in detail, and the tenability of the second assumption is assessed by evaluating the marginal residuals and performing tests on overdispersion. For the firearms example, the second assumption seems to hold well, but for the drunk drivers example there is some overdispersion. It is concluded that the method is useful, provided it is used with care.     

全面理解人力资本的经济价值——教育经济学与培训经济学的融合

教育经济学不应只是正规学校教育的经济学,在终身学习的理念下,正规学校教育的结束并不意味着学习步伐的停滞和人力资本投资的终结。教育经济学未来拓展的路径,除了理论基础上的"外延式"发展外,还可以在原有的人力资本理论框架内走一条"内涵式"发展的道路,即强调综合考察人力资本投资的多种途径,特别是教育和培训这两种最主要的人力资本投资形式,让教育经济学走出正规学校教育经济学的固有领地,团结在人力资本理论的名义下,与培训经济学融合,走向人力资源开发研究的广阔天地,惟其如此,才能全面、深入地研究人力资本的经济价值及其实现机制。     

Towards a complete real-time electricity market design

The general design for the real-time electricity market presented in this paper optimizes and prices both real and reactive power simultaneously in an AC setting, where all assets—generation, load and transmission—are allowed to bid and are financially settled at the locational price times energy consumed or produced. The result is that transmission lines are compensated for both capacity and admittance, providing incentives for efficient operation of transmission-related assets such as FACTS devices, if price-taking behavior is assumed. Losses are incorporated into the design and become an operating cost for transmission. The market design is shown to be revenue neutral and, under some assumptions, nonconfiscatory.      

基于“行为经济学理论”的旅游者行为分析

传统的旅游者行为分析方法,主要是进行定性的分析,将各个因素进行框架分析,而对旅游者行为的影响因素分析深度不够。借助行为经济学的理论和分析方法,从旅游者的心理活动角度入手,注重旅游者的心理变量分析,应用前景理论和心理账户分析旅游者行为,充分考虑了情境因素和体验因素,使得关于旅游者的行为分析更加细化和接近现实生活。     

人口老龄化背景下农村养老的困境及其路径选择——基于安徽省砀山县的实证分析

在中国农村人口老龄化程度快速发展背景下，中国农村养老面临的形势不容乐观。文章基于对安徽省砀山县农村养老状况的调查，在论述当前农村养老的基本现状以及存在的主要问题的基础上，提出了农村养老保障体系建设应遵循既要使农村社会的养老资源得到充分整合又要体现社会主义新农村建设的要求的基本思路。同时，积极推进农村养老保险制度创新、尽快编织农村最低生活保障“安全网”以及不断完善新型农村合作医疗制度是当前农村养老保障工作的重心。     

经济学不是数学

对经济学的不加限制的“数学化”可能正在阉割经济学的本质。只要人类的思想、情感、行为还不能“精确”为一组数字，那么经济学就只能是一门关于“人”的科学，而不是一门关于“数字”的科学，经济学和数学就始终存在着一个不可逾越的界限。经济学的根本方法并不是数学，而是唯物辩证法。数学只是经济学的分析工具。远离了人文精神，抛弃了唯物辩证法，经济学就只剩下了一堆数字、图表、模型，经济学中的主体——人就被消解了。