Competing Networks,Spatial and Industrial Concentration in the US Airline Industry

Abstract

The paper uses Gini decomposition analysis to evaluate changes in the spatial distribution and industry shares of total US air traffic, as well as analysing the decomposition components for individual airlines and airports for the period 1990–2002. The paper develops explicit relationships between two of the main decomposition schemes used in the income inequality literature and shows the insights that such analysis may provide for evaluation and examination of air transport networks and traffic distributions. A multi-dimensional Gini and its decomposition are derived using an adjustment method derived from the relationship between the two Gini decomposition schemes.     

Inference by linearization for Zenga’s new inequality index: a comparison with the Gini index

Zenga’s new inequality curve and index are two recent tools for measuring inequality. Proposed in 2007, they should thus not be mistaken for anterior measures suggested by the same author. This paper focuses on the new measures only, which are hereafter referred to simply as the Zenga curve and Zenga index. The Zenga curve Z(α) involves the ratio of the mean income of the 100α % poorest to that of the 100(1?α)% richest. The Zenga index can also be expressed by means of the Lorenz Curve and some of its properties make it an interesting alternative to the Gini index. Like most other inequality measures, inference on the Zenga index is not straightforward. Some research on its properties and on estimation has already been conducted but inference in the sampling framework is still needed. In this paper, we propose an estimator and variance estimator for the Zenga index when estimated from a complex sampling design. The proposed variance estimator is based on linearization techniques and more specifically on the direct approach presented by Demnati and Rao. The quality of the resulting estimators are evaluated in Monte Carlo simulation studies on real sets of income data. Finally, the advantages of the Zenga index relative to the Gini index are discussed.     

区位基尼系数的计算、性质及其应用

基于产业规模探索区位基尼系数的简化计算、区域分解和两位数产业分解,给出产业份额、区位商以及产业份额空间测度加权区位基尼系数的分解公式,提供相对边际效应和增量分解的计算公式。利用我国2004年、2008年的经济普查数据,计算国民经济19个字母产业的区位基尼系数,得出以产业份额计算的区位基尼系数更能反映产业聚集程度的结论,并使用产业份额区位基尼系数进行实证分析。     

Bayesian and Frequentist Inference for Ecological Inference: The R×C Case

In this paper we propose Bayesian and frequentist approaches to ecological inference, based on R × C contingency tables, including a covariate. The proposed Bayesian model extends the binomial-beta hierarchical model developed by K ing , R osen and T anner (1999) from the 2×2 case to the R × C case. As in the 2×2 case, the inferential procedure employs Markov chain Monte Carlo (MCMC) methods. As such, the resulting MCMC analysis is rich but computationally intensive. The frequentist approach, based on first moments rather than on the entire likelihood, provides quick inference via nonlinear least-squares, while retaining good frequentist properties. The two approaches are illustrated with simulated data, as well as with real data on voting patterns in Weimar Germany. In the final section of the paper we provide an overview of a range of alternative inferential approaches which trade-off computational intensity for statistical efficiency.     

THE ECONOMICS OF FISCAL DECENTRALIZATION

Abstract There is no complete overview or discussion of the literature of the economics of federalism and fiscal decentralization, even though scholarly interest in the topic has been increasing significantly over recent years. This paper provides a general, brief but comprehensive overview of the main insights from the literature on fiscal federalism and decentralization. In doing so, literature on fiscal federalism and decentralization is grouped into two main approaches: ‘first generation approach’ and ‘an emerging second generation approach’. The discussion generally covers the two notions of fiscal decentralization: ‘fiscal autonomy’ and ‘fiscal importance’ of subnational governments as the background of the most recently developed index of fiscal decentralization in Vo. The relevance of this discussion to any further development of a fiscal decentralization index is briefly noted.     

修正加权变异系数:度量收入分配平等程度的有用指标

本文提出了用于衡量收入分配平等程度的修正加权变异系数计算公式，并且从数学上证明了修正加权变异系数具有类似于基尼系数那样的良好度量性质。与基尼系数相比，修正加权变异系数具有计算简单、容易理解的特点。此外，本文还讨论了修正加权变异系数计算公式中权系数的确定问题。     

WHAT HAPPENED TO THE THREE‐LEGGED CENTIPEDE GAME?

Abstract.  In the last two decades, several frameworks have been proposed to analyze the question of whether common knowledge of rationality is sufficient to justify the play of backward induction (BI) in games of perfect information. Three strands of literature have addressed this issue: the literature on equilibrium refinements, the literature on knowledge-based epistemology and the literature on interactive epistemology. This paper surveys seminal frameworks within the first two strands of research and assesses the extent to which they provide a satisfactory solution to the problem. These approaches are illustrated using a three-legged version of Rosenthal's centipede game, which is the classical example in the literature. The paper argues that some of these frameworks provide sensible answers to the riddle of BI or, at least, succeed in bringing the paradox to another level. The paper also points at consistency problems in the body of refinements of Nash equilibrium revealed by the surveyed literature.     

税收累进性测度的改进：方法、比较和应用

提出判断税收累进性的边际效应方法：当总收入基尼系数的税收边际效应大于0时,该税收具有累进性特征;并将税收边际效应作为测度指数。边际效应指数与K指数具有完全相同的符号,不同税种具有可加性,它比K指数更为稳健,且赋予了税收累进性新的经济含义：税收对总收入基尼系数贡献率大于平均税率。同时还着重讨论几种测度税收累进性指数的关系,对各种测度指数进行了实证,发现S指数存在一定程度的缺陷。     

On the Decomposition by Subgroups of the Gini Index and Zenga's Uniformity and Inequality Indexes

Besides a brief historical outline of the Gini index decomposition proposals, we compare, in a subgroups framework, the decompositions of the Gini index and of the uniformity and inequality indexes recently proposed by Zenga. The two decompositions follow a similar scheme: in both cases the overall index can be at first expressed as a weighted average of convenient "cross" measures, with their own interpretation, and afterwards it is decomposed into a within and a between term by merely distinguishing measures evaluated within the same subgroup from the ones regarding different subgroups. This procedure does not depend on an a priori definition of the within or the between term and allows their contribution to be naturally evaluated preserving the structure of the index itself. In the last section the two decompositions are applied to the Italian net household wealth provided by the 2006 central Bank of Italy sample survey on household budgets.     

一种离散型收入分布基尼系数精确计算方法

基尼系数问世八十多年的时间里,在度量经济不平等的基尼系数指标时,最常见的是离散型收入分布,本文设计了一种离散型收入分布基尼系数计算方法,用它可以精确地求解基尼系数。     

Nonparametric estimation of structural change points in volatility models for time series

We propose a hybrid estimation procedure that combines the least squares and nonparametric methods to estimate change points of volatility in time series models. Its main advantage is that it does not require any specific form of marginal or transitional densities of the process. We also establish the asymptotic properties of the estimators when the regression and conditional volatility functions are not known. The proposed tests for change points of volatility are shown to be consistent and more powerful than the nonparametric ones in the literature. Finally, we provide simulations and empirical results using the Hong Kong stock market index (HSI) series.     

我国物流产业集聚实证研究

文中通过分析物流产业内部B2B业务和B2C业务的不同经济属性和集聚发展特征,从理论角度论证我国物流产业内部的不同集聚结构标准,构建物流产业集聚模型;并从实证角度以我国物流产业为研究对象,评价了我国物流产业的区域集聚程度（基尼系数）、企业集聚程度（赫芬达尔系数）和集聚结构（E—G指数）,验证我国物流产业集聚发展的不同路径和趋势,提出我国物流产业应该走和如何走集聚化发展道路等的相关政策建议。     

THE POLITICAL ECONOMY OF ENVIRONMENTAL CONSEQUENCES: A REVIEW OF THE EMPIRICAL LITERATURE

As a key concern for human survival and development, environmental issues have been widely perceived to be impacted by various political institutional factors. A considerable body of literature has attempted to investigate how different political factors affect environmental policymaking and outcomes. In this paper, we critically review related scholarly works published in peer‐reviewed economic journals in the past 30 years, with an emphasis on the empirical literature. Political institutional factors considered in this survey include corruption, the general concept and specific elements of democracy, and the vertical structure of environmental regulation authority within different levels of governments (i.e. environmental federalism). Studies focusing on the interplay of these factors are also highlighted. Based on a critical review, we provide a guide to the datasets, methodologies, and main findings of the literature. We also point out the existing gaps, and put forward suggestions for future research directions.     

EL inference for partially identified models: Large deviations optimality and bootstrap validity

This paper addresses the issue of optimal inference for parameters that are partially identified in models with moment inequalities. There currently exists a variety of inferential methods for use in this setting. However, the question of choosing optimally among contending procedures is unresolved. In this paper, I first consider a canonical large deviations criterion for optimality and show that inference based on the empirical likelihood ratio statistic is optimal. Second, I introduce a new empirical likelihood bootstrap that provides a valid resampling method for moment inequality models and overcomes the implementation challenges that arise as a result of non-pivotal limit distributions. Lastly, I analyze the finite sample properties of the proposed framework using Monte Carlo simulations. The simulation results are encouraging.     

On the second-order properties of empirical likelihood with moment restrictions

This paper considers the second-order properties of empirical likelihood (EL) for a parameter defined by moment restrictions, which is the inferential framework of the generalized method of moments. It is shown that the EL defined for this general framework still admits the delicate second-order property of Bartlett correction. This represents a substantial extension of all the established cases of Bartlett correction for the EL. An empirical Bartlett correction is proposed, which is shown to work effectively in improving the coverage accuracy of confidence regions for the parameter.     

A micro-macro linkage in the measurement of inequality: Another look at the Gini coefficient

The aim of this paper is to help readers understand the significance of the Gini coefficient. We have two major formulae for the Gini coefficient. One of the formulae bases on the idea of aggregation of the microscopic differences between individuals' incomes or wealth. The idea that underlies the other formula is macroscopic presentation of distribution or concentration of income or wealth. We will show an unabridged proof of the equivalence between these formulae to examine how the two conceptions of the measurement of inequality are linked to each other.     

长江三角洲城市群城市规模分布与经济规模分布的比较研究

本文建立与城市规模、城市首位度和城市规模基尼系数相应的经济规模、经济首位度和经济规模基尼系数指标,运用2007-2012年的统计数据测算各指标值,对长江三角洲城市群城市规模分布与经济规模分布进行分析比较.得出两大结论：第一,目前长江三角洲城市群城市规模与经济规模的增长率都呈下降趋势,但城市群内出现有若干经济规模发展快于城市规模发展的高效率城市,也有若干经济规模发展慢于城市规模发展的低效率城市,高、低效率城市正在改变城市群原来的人口与经济规模的结构.第二,长江三角洲城市群内人口与经济规模高度集中,尤其是最大城市上海市人口集中度严重.据此,笔者提出了长江三角洲城市群进一步城镇化的建议：突破行政区域的限制,建立上海都市圈.     

Input–output linkages and the propagation of domestic productivity shocks: assessing alternative theories with stochastic simulation

Relatively small sectoral productivity shocks could lead to sizable macroeconomic variability. Whereas most contributions in the literature analyze the issue of aggregate sensitivity using simple general equilibrium models, a novel approach is proposed in this paper, based on stochastic simulations with a global computable general equilibrium model. We find that the variability of the GDP, induced by sectoral shocks, is basically determined by the degree of industrial concentration as measured by the Herfindahl index of industrial value added. The degree of centrality in inter-industrial connectivity, measured by the standard deviation of second-order degrees, is mildly significant, but it is also correlated with the industrial concentration index. After controlling for the correlation effect, we find that connectivity turns out to be statistically significant, although less so than granularity.     

Adaptive learning and distributional dynamics in an incomplete markets model

Recent research shows that several DSGE models provide a closer fit to the data under adaptive learning. This paper extends this research by introducing adaptive learning in the model of Krusell and Smith (1998) with uninsurable idiosyncratic risks and aggregate uncertainty. A first contribution of this paper establishes that the equilibrium of this framework is stable under least-squares learning. The second contribution consists of showing that bounded rationality enhances the ability of this model to match the distribution of income in the US. Learning increases significantly the Gini coefficients because of the opposite effects on consumption of the capital-rich and of the capital-poor agent. The third contribution is an empirical exercise that shows that learning can account for increases in the income Gini coefficient of up to 25% in a period of 28 years. Overall, these findings suggest that adaptive learning has important distributional repercussions in this class of models.     

Reparameterized inverse gamma regression models with varying precision

In this article, we propose a mean linear regression model where the response variable is inverse gamma distributed using a new parameterization of this distribution that is indexed by mean and precision parameters. The main advantage of our new parametrization is the straightforward interpretation of the regression coefficients in terms of the expectation of the positive response variable, as usual in the context of generalized linear models. The variance function of the proposed model has a quadratic form. The inverse gamma distribution is a member of the exponential family of distributions and has some distributions commonly used for parametric models in survival analysis as special cases. We compare the proposed model to several alternatives and illustrate its advantages and usefulness. With a generalized linear model approach that takes advantage of exponential family properties, we discuss model estimation (by maximum likelihood), black further inferential quantities and diagnostic tools. A Monte Carlo experiment is conducted to evaluate the performances of these estimators in finite samples with a discussion of the obtained results. A real application using minerals data set collected by Department of Mines of the University of Atacama, Chile, is considered to demonstrate the practical potential of the proposed model.