东道国外债规模与中国OFDI——基于发展中国家面板数据的研究

本文利用2003—2013年间中国对外直接投资跨国面板数据,采用系统GMM方法,实证研究发展中国家外债规模与中国OFDI的关系.研究发现,在发展中国家或地区,外债规模与中国对外直接投资存在正向关系.此外,我们还得到东道国外债规模均会弱化市场规模、自然资源、技术水平对中国OFDI的正向作用.     

城市规模、创业边界与企业家创业

大城市更有活力且更年轻化的人口结构,导致大城市的消费者异质性偏好更强,进而可能推动企业家创业边界的降低与城市创业活动的发展。为了识别这一理论机制,本文在Zhelobodko et al.（2012）的分析框架上,通过引入城市规模和消费者异质性偏好假设,构建了一个异质性企业家区位选择与创业的空间经济学模型,考察城市规模通过企业家创业边界对城市创业活动的影响,并基于2000-2016年204个城市的面板数据以及2008年中国经济普查数据进行了实证检验。研究发现：（1）企业家才能越高的企业,相应的产品定价会越低,产品需求量越大,而利润越高;（2）企业家创业边界除了受到城市规模的影响以外,还会受到消费者多样性偏好的影响;（3）消费者多样化偏好更强的城市,城市的创业门槛更低,城市的创业活跃度更高。     

论反倾销会计应诉的“度”

在反倾销诉讼中,掌握度的规则,抓住关节点,对提升会计应诉水平具有重要意义。从会计应诉的实践要求来看,着重从两个方面把握住度的要求:一是把握会计应诉决策的度,使会计应诉决策建立在科学的基础上;二是把握会计应诉各环节的度,提升会计应诉的针对性和有效性。     

On Pitman's measure of closeness of k-records

Pitman closeness of both the upper and lower k-record statistics to the population quantiles of a location–scale family of distributions is studied. For the population median, the Pitman-closest k-record is also determined. In the case of symmetric distributions, the Pitman closeness probabilities of k-record statistics are shown to be distribution-free, and explicit expressions are also derived for these probabilities. Exact expressions are derived for the required probabilities for uniform and exponential distributions. Numerical results are given for these families and also the Pitman-closest k-record is determined.     

高等教育规模扩张何以实现——以“资源稀释模型”为视角

＂资源稀释模型＂认为,在家庭经济资源一定的情况下,家庭里的孩子数量越多,每个孩子分到的经济资源就会相应减少;而且家庭的经济资源对孩子是否有机会接受高等教育的影响非常重要。笔者从＂资源稀释模型（Resource Dilution Model）＂这一视角来分析和探讨,上世纪末我国＂高等教育规模扩张＂政策何以得以顺利实施。     

Support for Gay and Lesbian Civil Rights: Development and Examination of a New Scale

This research outlines the development of a psychometrically sound, uni-dimensional scale to assess support for gay and lesbian civil rights. Initial scale development involved examining item-pool responses from 224 undergraduate students. The resulting Support for Gay and Lesbian Civil Rights (SGLCR) scale consisted of 20 items. In a series of studies, the SGLCR demonstrated a stable factor structure, strong internal consistency, test-retest reliability, and construct validity. The relationships between SGLCR scores and participants' sex, religiosity, political ideology, gender role beliefs, and attitudes toward lesbians and gays were significant and in the predicted directions.     

Attitudes of social work students towards older people

Demographic ageing is a challenge for many countries. Even though Turkey has a relatively younger demographic composition, the proportion of the older people (65+) within the population is rapidly increasing. Within this framework, older people are becoming more important clients for both social work students and social workers in Turkey. This study aims to reveal the attitudes of social work students towards older people and determine the various factors that affect their views on older persons. In the scope of the project, Kogan's Attitude Towards Old People Scale was applied to 419 social work undergraduate students at a university located in Central Anatolia. The findings showed that social work students scored a mean of 130.96 and they generally had positive attitudes towards older people. The correlation between year of study, gender and age was not statistically significant. However, having lived mostly in urban areas was positively correlated with the mean Kogan scores and this finding was found to be statistically significant. Exposure to personal contact with older people at both the personal and professional levels was influential in shaping attitudes about the older people.     

生产者货币计价决定因素的实证研究

利用12个发达国家和发展中国家的非平衡面板样本数据,对微观、宏观和其他因素对生产者货币计价(PCP)的影响进行实证研究,指出经济规模、市场份额、金融市场的发达程度、币值的对内稳定性和产品差异化程度是最主要的影响因素,而出口商的谈判能力、币值的对外稳定性等因素也对PCP的选择有一定影响。根据实证检验结果,对人民币作为贸易计价货币的条件进行评估,发现其优势在于我国的经济规模、出口商的市场份额及其谈判能力以及人民币汇率的相对稳定性; 劣势在于相对落后的金融市场、不可预期性较大的通货膨胀水平以及产品的差异化程度。     

Stochastic comparisons between extreme order statistics from scale models

Stochastic ordering relations between extreme order statistics from exponential, Weibull and gamma distributions have been studied extensively by many researchers in recent years. In this work, we obtain various ordering results for the comparisons of two extreme order statistics from scale models when one set of scale parameters majorizes the other. The new results obtained here are applied when the baseline distributions are exponentiated Weibull or generalized gamma distributions. In this way, we generalize and extend some results established recently in the literature.     

Quantile Regression for Location‐Scale Time Series Models with Conditional Heteroscedasticity

This paper considers quantile regression for a wide class of time series models including autoregressive and moving average (ARMA) models with asymmetric generalized autoregressive conditional heteroscedasticity errors. The classical mean‐variance models are reinterpreted as conditional location‐scale models so that the quantile regression method can be naturally geared into the considered models. The consistency and asymptotic normality of the quantile regression estimator is established in location‐scale time series models under mild conditions. In the application of this result to ARMA‐generalized autoregressive conditional heteroscedasticity models, more primitive conditions are deduced to obtain the asymptotic properties. For illustration, a simulation study and a real data analysis are provided.