美国军队管理革命的开拓者——鲁特

伊莱休·鲁特针对美西战争中暴露出的美军事指挥和军队体制方面的问题，进行了五项改革：1．设立总参谋部；2．设立陆海军联合委员会；3．通过《国防法》，成立国民警卫队；4．对军队编制进行改革；5．军事教育改革。经过改革，美军事统帅体制提高了效率，军队编制趋向合理，为20世纪美国进行新的战争做好了准备。他是美国军事管理革命的开拓者。     

为国家教育妇女：加纳的教育改革与性别问题

1986改革中,加纳政府根据结构调整方案(SAP)和2020计划,关注教育中存在性别的不平等现象,努力解决女生在科学、数学和技术课程(SMT)的学业成绩、入学率等问题,并建立女子教育联合会.问题的解决要依靠真正普及免费的义务教育以及将妇女教育延伸到职业和高等教育机构.     

The Robustness of Trend Stationarity: An Illustration with the Extended Nelson-Plosser Dataset

We re-evaluate Andreu and Spanos's findings in favour of trend stationarity by considering the extended Nelson-Plosser data set. This expanded (to 1988) data set includes a period of rather different behaviour compared with the original Nelson-Plosser data used by Andreou and Spanos. We find that Andreou and Spanos's models (with only minor adjustments) exhibit remarable stability over this extended period, and indicate that their conclusions are more robust than they have shown.     

论加强单位内部会计控制建设

本文针对目前一些单位内部会计控制的现状,从认识内部会计控制的意义入手,通过制定切实可行的内部会计控制制度并组织实施等几个方面阐述如何加强单位内部会计控制建设。     

试析美国高等教育中的学分制及其借鉴意义

学分制是美国高等教育系统中普遍使用的衡量高校学术工作的行之有效的手段。本文对学分制在美国高等教育体制中产生的历史、发展过程及应用的范围进行了分析、探讨, 并给予了客观的评价, 最后指出了它对于中国高等教育学术管理体制的借鉴意义, 并提出了几点个人的建议。     

汉语同源字考

本文旨在为王力著的《同源字典》拾遗补阙。有些字王力的著作虽已收录、考释，但这些字还有别的意义，尚可与另一些字构成另一对（或一组）同源字（即“同源词”）。本文依照“音近义通”的原则考释同源字。     

New innovational outlier unit root test with a break at an unknown time

The Perron test which is based on a Dickey–Fuller test regression is a commonly employed approach to test for a unit root in the presence of a structural break of unknown timing. In the case of an innovational outlier (IO), the Perron test tends to exhibit spurious rejections in finite samples when the break occurs under the null hypothesis. In the present paper, a new Perron-type IO unit root test is developed. It is shown in Monte Carlo experiments that the new test does not over-reject the null hypothesis. Even for the case of a level and slope break for trending data, the empirical size is near its nominal level. The test distribution equals the case of a known break date. Furthermore, the test is able to identify the true break date very accurately even for small breaks. As an application serves the Nelson–Plosser data set.     

Size distortion of asymmetric unit root tests in the presence of level shifts

The finite-sample size properties of momentum-threshold autoregressive (MTAR) asymmetric unit root tests are examined in the presence of level shifts under the null hypothesis. The original MTAR test using a fixed threshold is found to exhibit severe size distortion when a break in level occurs early in the sample period, leading to an increased probability of an incorrect inference of asymmetric stationarity. For later breaks the test is also shown to suffer from undersizing. In contrast, the use of consistent-threshold estimation results in a test which is relatively robust to level shifts.     

The effect of sociodemographic (mis)match between interviewers and respondents on unit and item nonresponse in Belgium

Interviewer characteristics affect nonresponse and measurement errors in face-to-face surveys. Some studies have shown that mismatched sociodemographic characteristics – for example gender – affect people's behavior when interacting with an interviewer at the door and during the survey interview, resulting in more nonresponse. We investigate the effect of sociodemographic (mis)matching on nonresponse in two successive rounds of the European Social Survey in Belgium. As such, we replicate the analyses of the effect of (mis)matching gender and age on unit nonresponse on the one hand, and of gender, age and education level (mis)matching on item nonresponse on the other hand. Recurring effects of sociodemographic (mis)match are found for both unit and item nonresponse.     

Lag Length Selection for Unit Root Tests in the Presence of Nonstationary Volatility

A number of recent papers have focused on the problem of testing for a unit root in the case where the driving shocks may be unconditionally heteroskedastic. These papers have, however, taken the lag length in the unit root test regression to be a deterministic function of the sample size, rather than data-determined, the latter being standard empirical practice. We investigate the finite sample impact of unconditional heteroskedasticity on conventional data-dependent lag selection methods in augmented Dickey–Fuller type regressions and propose new lag selection criteria which allow for unconditional heteroskedasticity. Standard lag selection methods are shown to have a tendency to over-fit the lag order under heteroskedasticity, resulting in significant power losses in the (wild bootstrap implementation of the) augmented Dickey–Fuller tests under the alternative. The proposed new lag selection criteria are shown to avoid this problem yet deliver unit root tests with almost identical finite sample properties as the corresponding tests based on conventional lag selection when the shocks are homoskedastic.