Bayesian expectile regression with asymmetric normal distribution

In this paper, we adopt the Bayesian approach to expectile regression employing a likelihood function that is based on an asymmetric normal distribution. We demonstrate that improper uniform priors for the unknown model parameters yield a proper joint posterior. Three simulated data sets were generated to evaluate the proposed method which show that Bayesian expectile regression performs well and has different characteristics comparing with Bayesian quantile regression. We also apply this approach into two real data analysis.     

Finite-sample distributions of the Wald,likelihood ratio,and Lagrange multiplier test statistics in the classical linear model

In this note, it is shown that the finite-sample distributions of the Wald, likelihood ratio, and Lagrange multiplier statistics in the classical linear regression model are members of the generalized beta model introduced by McDonald and Xu (1995a McDonald, J.B., Xu, Y.J. (1995a). A generalization of the beta distribution with applications. J. Econom. 66:133–152.[Crossref], [Web of Science ®] , [Google Scholar]). This is useful for examining the properties of these test statistics. For example, this characterization makes it easy to find distribution, quantile, and density functions for each test statistic, makes it clear why Wald tests may overreject the null hypothesis using asymptotic critical values, and formalizes the fact that the Lagrange multiplier statistic follows a distribution with bounded support.     

Prevalence of and risk factors associated with cesarean section in Lebanon — A retrospective study based on a sample of 29,270 women

Background

During the last decades, there has been an alarming and dramatic increase in the number of cesarean births in both developed and undeveloped countries. This increase has not been clinically justified but, nevertheless, has raised an important number of issues.

金融发展与区域经济增长研究——基于重庆市的实证分析

金融对经济的促进作用往往会受到其他因素的影响,而使得结果大打折扣,其主要原因是因为目前资金的流动受到很多制度和人为因素的影响,导致资源不能及时从低效率部门流入高效率部门。本研究从现有理论出发,通过收集重庆市1986—2010年有关经济增长和金融发展的数据,利用计量经济学软件,通过误差修正模型,得出二者之间的协整关系。在此基础之上,结合重庆现状分析回归结果并提出有关政策建议。     

非线性回归分析的一种有理逼近

利用有理插值逼近回归函数,把最小二乘法和插值技术结合起来,充分利用已知信息,达到最佳逼近,通过实例,获得了很好的效果。     

启动农村消费的障碍及消除障碍的路径选择研究

消费是拉动内需,推动经济持续、健康发展的不懈动力,然而现阶段我国居民消费对GDP增长的促进作用较弱,尤其是农村消费,但由于受收入、物价、市场发达程度等因素的制约,农村消费长期以来一直被压制.采用定量、定性相结合的分析方法,通过构造数量模型分析影响消费的主要因素及影响程度,在此基础上重点对影响农村消费增长的原因进行分析,并提出相应的解决措施.     

吉林省FDI影响因素的实证分析

改革开放以来,随着吉林省投资环境的不断优化,流入吉林省的FDI数量不断增多。使用因子分析与回归分析方法对吉林省FDI流入的影响因素进行实证分析,得出的结论是：影响吉林省FDI流入的综合因素在不断提高。其中,不断扩大的市场规模和较低的要素成本是影响吉林省FDI流入的重要因素,相比之下,较低的对外开放度和不稳定的能源供应阻碍了FDI的流入。     

Confidence intervals for extreme Pareto-type quantiles

In this paper, we revisit the construction of confidence intervals for extreme quantiles of Pareto-type distributions. A novel asymptotic pivotal quantity is proposed for these quantile estimators, which leads to new asymptotic confidence intervals that exhibit more accurate coverage probability. This pivotal quantity also allows for the construction of a saddle-point approximation, from which a second set of new confidence intervals follows. The small-sample properties and utility of these confidence intervals are studied using simulations and a case study from insurance.     

不同模型在财务预警实证中的比较研究

研究当前国内外公司财务困境预测问题的现状,寻找一套适合于我国企业的财务状况识别指标体系;然后依据该指标体系采用不同方法建立财务状况预测模型;最后,利用样本公司实际指标数据对各个模型的短期及中期预测效果进行了比较分析与实证研究。     

交易额、A 股比例、势效应和三因子模型

利用回归和构造动态投资组合方法,对中国股票市场1995 年7 月到2000 年12 月股票 月收益率、交易额、总市值及其财务数据进行分析,发现中国股票市场具有显著的交易额效应、 A 股比例效应、市值效应、账面市值比效应等. 这些效应有密切的相互关系,但不能用市场beta 值来解释. 市场beta 值、市值因子、账面市值比因子一起,也就是Fama2French 三因子模型,可以 很好地解释这些效应