Panel regression models for measuring multidimensional poverty dynamics

This work concerns the study of poverty dynamics and the analysis of the influencing socio-demographic factors. A fuzzy and multidimensional approach has been chosen in order to define two different poverty measures. A panel regression model has been estimated and particular attention has been paid to the treatment of the unobservable heterogeneity among longitudinal units. The specified model combines autoregression with variance components. The empirical analysis has been conducted using the data set of the British Household Panel Survey (BHPS) from 1991 to 1997. This work was co-financed by Murst funds for the projects “Occupazione e disoccupazione in Italia: misura e analisi dei comportamenti”. The paper is the result of the common work of all the authors; in particular G. Betti has written Sects. 2,5.1 and 5.3.1; A. D’Agostino has written sections 4, 5.2 and 5.4; L. Neri has written Sects. 1, 3, 5.3.2 and 6.     

Biased networks and social structure theorems

It is shown that the part of Peter Blau's theory of social structure bearing on heterogeneity can be imbedded within the framework of biased networks, thereby clarifying conceptual aspects of the theory as well as providing a mathematical proof of the most central heterogeneity theorem for a class of networks. The key step is the postulation of a mathematical concept of salience, called an ‘inbreeding bias’ in prior work, which corresponds to Blau's fundamental axiom. In addition, there are derivations and discussions bearing on related topics in the analysis of social structure.     

品牌权益影响股东价值的实证研究

市场营销活动对企业股东价值的影响是品牌价值链研究的重要方面。近年来营销学者为了向企业经理证实营销活动能够为企业带来长远效益,不断探索各个营销环节和营销活动对企业股东价值的影响。从品牌的视角探讨营销活动对股东价值的影响,探索品牌权益对股东价值的影响途径和中介变量以及这些影响在不同行业之间的差异;以世界品牌实验室关于品牌价值评估的数据作为品牌权益的测量,以网易网站和东方财富网站的财务数据计算Tobin′sQ作为企业股东价值的测量,采用2005年～2007年的数据进行面板数据分析。研究结果表明,品牌权益能够正向影响股东价值,企业利润是品牌权益和股东价值的中介变量,品牌权益对股东价值的影响受企业所在行业的调节。     

高管团队特征与企业多元化战略关系的Meta分析

采用元分析和分层线性模型的定量分析方法,研究了国内外学者关于高管团队特征与企业多元化战略的相关关系。研究结果表明,高管团队的不同特征与企业多元化战略有不同的相关关系,诸如高管团队规模与企业多元化战略有显著正相关关系,团队平均年龄、教育背景异质性等人口统计学特征与企业多元化战略之间存在显著负相关关系,其他特征的相关关系不显著。同时国家、行业特征等是解释现有研究结果差异的重要原因。最后,提出了高管团队领域未来可能的研究课题。     

成员异质性背景下的农民合作社小农困境分析

成员异质性背景下,合作社发展中是否存在小农困境引起学界关注;结合具体案例,本研究对合作社发展中的小农处境进行分析,并尝试着对小农困境进行理性思考。分析认为:无论是合作社发展中"大农吃小农"的逻辑,还是成立合作社是"小农理性选择"的判断,都存在一定局限性,需要用辩证的观点来看待农民合作社发展中的小农困境;同时,文本提出了若干合作社发展中的小农权益保护策略。     

国有企业混合所有制改革下股东利益博弈分析

国有企业混合所有制改革是当前理论探讨的热点。以分权控制理论为基础,构建国有股东、民营股东和监督机构三方的利益博弈模型,并对模型进行分析。结果显示,国有股东侵占民营股东的概率受监督机构监督成本和国有股东被监督损失等因素的影响,监督机构选择自主监督国有股东的概率受国有股东侵占行为惩罚力度系数、国有股东侵占额外收益和民营股东诉讼赔偿等因素影响。要加强对国有股东的惩罚力度,发挥好政府的监督作用,增强中小股东权利保障机制,推进国有企业混合所有制改革的步伐。     

基于供求关系的房价波动分析

基于1999—2017年中国35个大中城市的面板数据,构建基于供求关系的面板回归模型,从国家和区域两个层面对造成房价波动的原因进行探究。结果表明:价格预期在全国和区域模型中均对房价有显著的正向影响,且在大多数地区,其影响力大于其他因素;人口对房价有正向影响,但只在北部沿海、东部沿海和南部沿海显著;收入对南部沿海、黄河中游和西南地区的房价均有显著的正向影响,而在北部沿海、东部沿海、长江中游、西北地区和东北地区,该因素对房价的影响并不显著;除全国和西南、西北地区外,房屋造价作为成本因素对绝大多数地区的房价有正向影响;信贷的可获得性作为政策因素对房价有正向影响,除南部沿海和黄河中游外,在其他区域均显著;住宅开发投资与住宅价格呈负相关关系,但其只在少数经济发达地区显著。因此,未来对房地产市场的调控应根据区域房价波动影响因素的不同区别对待,因地制宜。     

Flexible Bivariate Count Data Regression Models

The article develops a semiparametric estimation method for the bivariate count data regression model. We develop a series expansion approach in which dependence between count variables is introduced by means of stochastically related unobserved heterogeneity components, and in which, unlike existing commonly used models, positive as well as negative correlations are allowed. Extensions that accommodate excess zeros, censored data, and multivariate generalizations are also given. Monte Carlo experiments and an empirical application to tobacco use confirms that the model performs well relative to existing bivariate models, in terms of various statistical criteria and in capturing the range of correlation among dependent variables. This article has supplementary materials online.     

Modified ridge analyses under nonstandard

A well-known procedure for the optimization of a second-degree response function over a spherical region of interest is that of ridge analysis. Khuri and Myers (1979) introduced a modification of this procedure by incorporating a certain constraint on the prediction variance. Both procedures, however, assume that the response variable has a constant variance throughtout the experimental region. In the present article, we consider two extensions to Khuri and Myers modifioed ridge analysis. The first extension relaxes the constant variance assumption. In the second extension. generalised linear models are used instead of the trasitional linear model. which are commenly used in responce variables that are not necessaily continusly distribution, including these have discreate distributions, Two examples are presented to illustrate the implementation of the proposed extensions.