On-duty and Off-duty: Employee Right to Privacy and Employer’s Right to Control in the Private Sector

The changing legal landscape of the right of the employer to control and monitor employee behavior is examined. Two distinct areas are defined: behavioral monitoring and behavioral restrictions. Relevant statutory laws and the developing common law are discussed. We also examine potential employee reactions to such policies by evaluating the reactions of graduate students to six employer policies including weight restrictions, grooming requirements, use of GPS locators, drug testing, ban on off-duty smoking, and email and internet monitoring. Students responded to these policies by determining the reasonable interest of the employer in the behaviors being monitored or controlled and the manner in which policies were implemented. Their comments suggest that employees may accept some level of monitoring or behavioral restrictions if the employer can make a convincing social account of the need for a policy. Additionally, the policy must be clearly communicated and properly implemented. However, restrictions on off-duty behavior were typically poorly received with the exception of illegal drug use.     

Contingent payments in selection contests

The early literature on research contests stressed the advantages of a fixed prize in inspiring R&D effort. More recently the focus has moved towards endogenizing the rewards to research activity in these tournament settings, since this can induce extra effort or enhance the surplus of the buyer. We focus on a research contest as a means of selecting a partner for an R&D enterprise, in an informational setting in which the established providers of R&D services know more about each others’ relative capabilities than does the buyer/sponsor. An alternative use of our model is in choosing between prospective patentees where the Patent Trading Office has less information on the patents than the competitors. This asymmetry creates a source of inefficiency if a rank order contest is used as a selection device; we show how the contest can be modified to improve selection efficiency, while maintaining its simplicity (as only ordinal information is required). The modification that we suggest involves endogenizing the prizes that are awarded contingent upon whether a contestant wins or loses the contest. Furthermore, the payment system and the selection mechanism are detail-free. This paper is part of the project “The Knowledge-Based Society” sponsored by the Research Council of Norway (project 172603/V10).     

Generalized linear mixed models with informative dropouts and missing covariates

Generalized linear mixed models (GLMM) are useful in many longitudinal data analyses. In the presence of informative dropouts and missing covariates, however, standard complete-data methods may not be applicable. In this article, we consider a likelihood method and an approximate method for GLMM with informative dropouts and missing covariates. The methods are implemented by Monte–Carlo EM algorithms combined with Gibbs sampler. The approximate method may lead to inconsistent estimators but is computationally more efficient than the likelihood method. The two methods are evaluated via a simulation study for longitudinal binary data, and appear to perform reasonably well. A dataset on mental distress is analyzed in details.     

The Limit Distribution of the Bootstrap for the Unit Root Test Statistic when the Residuals are Dependent

In this article, the unit root test for the AR(1) model with dependent residuals is considered. We adopt a bootstrap procedure to bootstrap the residuals with bootstrap sample size m less than the size n of the original sample. Under the assumptions that m → ∞ and m/n → 0, the convergence in probability of the bootstrap distribution function is established. Research supported by National Natural Science Foundation of China (No. 10471126)     

Variation diminishing property of densities of uniform generalized order statistics

Let f _*,r , r ≥ 1, denote the density function of rth uniform generalized order statistics as defined by Kamps (1995) or Cramer and Kamps (2003). We prove the following variation diminishing property: the number of zeros in (0,1) of any linear combination does not exceed the number of sign changes in the sequence (a ₁, . . . ,a _r ). This result is applied to study monotonicity and convexity properties of f _*,r .     

Characterization of Normal Distribution Related to Two Samples Based on Regression

Characterization of normal distribution related to two samples based on second conditional moments has been obtained. This characterization has been transformed to a characterization based on the UMVU estimators of the density function. These results are generalized to k samples from normal distributions. Finally applications of these characterization results to goodness-of-fit test are discussed.     

On Minimally-supported <Emphasis Type="Italic">D</Emphasis>-optimal Designs for Polynomial Regression with Log-concave Weight Function

This paper studies minimally-supported D-optimal designs for polynomial regression model with logarithmically concave (log-concave) weight functions. Many commonly used weight functions in the design literature are log-concave. For example, and exp(−x ²) in Theorem 2.3.2 of Fedorov (Theory of optimal experiments, 1972) are all log-concave. We show that the determinant of information matrix of minimally-supported design is a log-concave function of ordered support points and the D-optimal design is unique. Therefore, the numerically D-optimal designs can be constructed efficiently by cyclic exchange algorithm.     

The long-run relationship between private and public savings: An empirical note

This empirical note extends the recent work by Holmes (2006) in examining the long-run relationship between private and public savings in the U.S. over the post-World War II period. Standard Engle-Granger cointegration tests fail to reject the null hypothesis of no cointegration; however, once allowance is made for an endogenous break in the cointegrating relationship, the weak form of the Ricardian equivalence proposition is supported.     

基于标准数据的创新程度提升路径研究

创新程度在资源配置中的作用日趋明显,但目前创新程度常以专利作为测量值。随着标准在产业发展中引导性增强,作为创新重要产出的标准在创新程度提升中的地位日渐凸显。提出一个以标准数据为依据,通过对标准创新程度值的测量,结合国际国内创新程度四分图模型,研究具体领域创新程度提升路径。以信息技术应用领域标准为分析对象,结合国际标准化组织颁布标准和中国标准,确定信息技术在各应用领域创新现状。结果显示：信息技术在办公系统和银行业务两个领域应用的国际国内创新程度都很低,应在完成产业升级后逐渐淘汰;其在健康关怀领域应用的国际发展前景良好但国内创新程度很低,是重点研究领域。随后,对信息技术在健康关怀领域应用的国际和国内标准具体内容进行对比分析,发现中国与国际发展存在差距,并以国际国内创新程度为依据对位于四分图不同区域的信息技术应用领域创新程度提升提出合理建议。