Testing the dilation order by using cumulative residual Tsallis entropy

In this paper, we introduce a new test for the dilation order based on cumulative residual Tsallis entropy of order α. The effect of the values of parameter α on the power of the test statistics is numerically investigated. The asymptotic distribution of the test statistic is given. The performance of the test statistic is evaluated using a simulation study. Finally, some numerical examples illustrating the theory are also given.     

On comparing,classifying and clustering several dependent regression models

Classifying several regression models fitted on a dataset is one of the most problems in data analysis. In other words, scientists are interested in comparing several regression models that can be used for a dataset. In this paper, an approach will be used to compare and classify several dependent regression models. Then the performance of the proposed method is investigated using simulation study and real example.     

A misspecification test for the higher order co-moments of the factor model

The traditional estimation of higher order co-moments of non-normal random variables by the sample analog of the expectation faces a curse of dimensionality, as the number of parameters increases steeply when the dimension increases. Imposing a factor structure on the process solves this problem; however, it leads to the challenging task of selecting an appropriate factor model. This paper contributes by proposing a test that exploits the following feature: when the factor model is correctly specified, the higher order co-moments of the unexplained return variation are sparse. It recommends a general to specific approach for selecting the factor model by choosing the most parsimonious specification for which the sparsity assumption is satisfied. This approach uses a Wald or Gumbel test statistic for testing the joint statistical significance of the co-moments that are zero when the factor model is correctly specified. The asymptotic distribution of the test is derived. An extensive simulation study confirms the good finite sample properties of the approach. This paper illustrates the practical usefulness of factor selection on daily returns of random subsets of S&P 100 constituents.     

On the power of goodness-of-fit tests for the exponential distribution under progressive Type-II censoring

The aim of this article is to review existing goodness-of-fit tests for the exponential distribution under progressive Type-II censoring and to provide some new ideas and adjustments. In particular, we consider two-parameter exponentially distributed random variables and adapt the proposed test procedures to our scenario if necessary. Then, we compare their power by an extensive simulation study. Furthermore, we propose five new test procedures that provide reasonable alternatives to those already known.     

On Hotelling’s T2 test in a special paired sample case

In a special paired sample case, Hotelling’s T² test based on the differences of the paired random vectors is the likelihood ratio test for testing the hypothesis that the paired random vectors have the same mean; with respect to a special group of affine linear transformations it is the uniformly most powerful invariant test for the general alternative of a difference in mean. We present an elementary straightforward proof of this result. The likelihood ratio test for testing the hypothesis that the covariance structure is of the assumed special form is derived and discussed. Applications to real data are given.     

Inferences for a Partially Varying Coefficient Model With Endogenous Regressors

In this article, we propose a new class of semiparametric instrumental variable models with partially varying coefficients, in which the structural function has a partially linear form and the impact of endogenous structural variables can vary over different levels of some exogenous variables. We propose a three-step estimation procedure to estimate both functional and constant coefficients. The consistency and asymptotic normality of these proposed estimators are established. Moreover, a generalized F-test is developed to test whether the functional coefficients are of particular parametric forms with some underlying economic intuitions, and furthermore, the limiting distribution of the proposed generalized F-test statistic under the null hypothesis is established. Finally, we illustrate the finite sample performance of our approach with simulations and two real data examples in economics.     

On the conditions of authority in academic publics

The discourse of some of the most powerful public figures in today’s world is often incoherent and nonsensical. Incoherent yet authoritative discourse shows that authority does not rest in language but results from non‐linguistic and pre‐textual conditions. The non‐linguistic and pre‐textual conditions are exemplified in an Australian case‐study of a media debate between the Immigration Minister and a refugee, drawing on research by Smith‐Khan (2019a, 2019b). Two such conditions are then examined with reference to academic publics. First, I ask which languages do or do not carry authority, before moving on to speaker identity as a condition of authority. The close association between English and academic excellence has resulted in diminishing the authority of academic publications in languages other than English. The same is true of publications by women and people of colour. I close by reflecting on referencing practices as forms of extending authoritativeness to voices in excluded languages and from excluded scholars in academic publics.     

The effect of media sexism on women’s political ambition: evidence from a worldwide study

This paper presents results from one of the first global studies on the relationship between media sexism and the share of candidates for the lower chamber of national parliaments who are women. Data on media sexism come from the Global Media Monitoring Project, the most reliable worldwide source for media coverage from a gender perspective. The data on share of female political candidates come from the Inter-Parliamentary Union. The results show that that there is, even when controlling for the number of women in parliament, electoral system, gender quotas, level of human development, level of women’s rights, freedom from corruption, and media access, a significant relationship between media sexism—measured as (i) the share of all news subjects that are women and (ii) the share of all news subjects portrayed in the function of experts who are women—and the share of women candidates for parliament: the higher the level of media sexism, the lower the share of women candidates. The theory discussed zooms in on a bystander effect: We hypothesize that sexist portrayals of women in the media stifle ambition among women who, in a less sexist media environment, would be willing to stand as political candidates.     

面向全球价值网络的中国先进制造模式动态演进与实证研究

本文研究表明,面向全球价值网络的中国先进制造模式是我国先进制造企业适应全球化竞争的必然选择。全球价值网络的构建是通过产品开发为龙头、集成产品开发的流程体系、价值链的模块化、全球价值网络四个阶段,即由“点”、“线”、“面”、“网”的不断动态演进而形成的;由此,需要从先进制造技术、多渠道开展研发与创新、动态联盟以及企业自身和政府的共同作用几方面来不断完善企业的全球价值网络,增强企业在全球市场的竞争能力。     

中国蔬菜价格波动与通货膨胀——基于波动来源的分解

利用Census X12季节调整和H-P滤波法,将蔬菜价格波动来源分解为趋势变动、季节变动、循环变动和不规则变动要素。利用Bootstrap因果检验与VAR模型,考察了蔬菜价格波动来源的分解因素与中国通货膨胀的关联性。结果表明,蔬菜价格波动影响消费者物价指数的主要渠道是通过季节变动和不规则变动要素;季节变动因素对消费者物价指数的影响呈季节周期性;不规则变动对消费者物价指数的冲击在最初时最显著,随后逐渐减弱。政策含义为,降低公众的通胀预期、促进蔬菜跨区域流通、控制蔬菜运输的物流成本、健全政府灾害天气应急响应机制均有利于减缓CPI上涨。