GMM,GEL, Serial Correlation,and Asymptotic Bias

For stationary time series models with serial correlation, we consider generalized method of moments (GMM) estimators that use heteroskedasticity and autocorrelation consistent (HAC) positive definite weight matrices and generalized empirical likelihood (GEL) estimators based on smoothed moment conditions. Following the analysis of Newey and Smith (2004) for independent observations, we derive second order asymptotic biases of these estimators. The inspection of bias expressions reveals that the use of smoothed GEL, in contrast to GMM, removes the bias component associated with the correlation between the moment function and its derivative, while the bias component associated with third moments depends on the employed kernel function. We also analyze the case of no serial correlation, and find that the seemingly unnecessary smoothing and HAC estimation can reduce the bias for some of the estimators.     

A note on calibration weightings for stratified double sampling with equal probability

This study proposes a more efficient calibration estimator for estimating population mean in stratified double sampling using new calibration weights. The variance of the proposed calibration estimator has been derived under large sample approximation. Calibration asymptotic optimum estimator and its approximate variance estimator are derived for the proposed calibration estimator and existing calibration estimators in stratified double sampling. Analytical results showed that the proposed calibration estimator is more efficient than existing members of its class in stratified double sampling. Analysis and evaluation are presented.     

At the boundary: Post-COVID agenda for business and management research in Europe and beyond

A rapidly growing body of scholarly research discusses the impact of the COVID-19 pandemic on business and management research. This Reflection on Europe takes stock of the situation and reflects critically on the deeper changes to the business ecosystem which the pandemic may engender. Based on surface level observations in three different contexts of business research, the analysis uncovers changes to underlying market circumstances which point towards radical shifts in the boundary conditions between business and society. The article concludes with suggestions for a post-COVID research agenda.     

On von Mises type conditions for p-max stable laws, rates of convergence and generalized log Pareto distributions

In this article we obtain an alternative formulation of the von Mises type conditions for p-max stable laws in terms of generalized log Pareto distributions (glogPds). Relationship between the rate of convergence of extremes and the remainder terms in the von Mises type conditions is investigated. It is shown that the rate of convergence in the von Mises type conditions for p-max stable laws determines the distance of the underlying distribution function from a glogPd.     

The Bayesian and frequentist approaches to testing a one-sided hypothesis about a multivariate mean

This paper compares the Bayesian and frequentist approaches to testing a one-sided hypothesis about a multivariate mean. First, this paper proposes a simple way to assign a Bayesian posterior probability to one-sided hypotheses about a multivariate mean. The approach is to use (almost) the exact posterior probability under the assumption that the data has multivariate normal distribution, under either a conjugate prior in large samples or under a vague Jeffreys prior. This is also approximately the Bayesian posterior probability of the hypothesis based on a suitably flat Dirichlet process prior over an unknown distribution generating the data. Then, the Bayesian approach and a frequentist approach to testing the one-sided hypothesis are compared, with results that show a major difference between Bayesian reasoning and frequentist reasoning. The Bayesian posterior probability can be substantially smaller than the frequentist p-value. A class of example is given where the Bayesian posterior probability is basically 0, while the frequentist p-value is basically 1. The Bayesian posterior probability in these examples seems to be more reasonable. Other drawbacks of the frequentist p-value as a measure of whether the one-sided hypothesis is true are also discussed.     

On sufficient conditions for the comparison of some quantile-based measures

In this article, we focus on characterizations and sufficient conditions for the comparison of some quantile-based measures. Mainly we focus on crossing conditions and changes of monotonicity of the quantile functions. The results are given for the comparison of the tail value at risk, total time on test, and the expected proportional shortfall measures.     

Are motherhood penalties and fatherhood bonuses warranted? Comparing pro-work behaviors and conditions of mothers, fathers, and non-parents

Research has confirmed a motherhood penalty and fatherhood bonus at work. Employers, it appears, regard mothers and fathers differently from one another and differently from non-parents. We have yet to systematically explore whether mothers exhibit fewer pro-work behaviors than fathers and non-parents or whether fathers engage in more of them than mothers and non-parents. This article draws on nationally representative data from full-time employed adults to investigate mother, father, and non-parent differences in work effort, work intensity, job engagement, and four measures of work enhancement from home. Mothers and fathers are similar on five out of seven outcomes tapping pro-work dimensions. When they differ, mothers report greater job engagement and work intensity than fathers. Mothers are no different from non-parents on all outcomes. All findings hold net of individual, job, and family controls. I conclude that reducing workplace gender inequality will require organizational changes that pay explicit attention to workers’ care-giving responsibilities.     

A review of the effectiveness of empowering leadership

Based on a review of empirical literature on empowering leadership, given incongruent and mixed results, the current work suggests reconsidering the effectiveness of empowering leadership. We propose a framework for examining the effectiveness of empowering leadership that considers: 1) feasibility of non-linear main effects of empowering leadership on work-related outcomes, 2) possibility of reverse causation between empowering leadership and work-related outcomes, 3) potential contradictory mediating mechanisms through which empowering leadership influences work-related outcomes, 4) consideration of boundary conditions which could alter the relationships between empowering leadership and work-related outcomes, and 5) consideration of levels-of-analysis and multilevel issues in empowering leadership. Our framework considers the multifaceted nature of empowering leadership and offers a guiding tool for advancing future research in this area.     

Variation in offspring size within a population of the web-building spiderAgelena limbata

Within a population of the web-building spiderAgelena limbata, the weight of the first instar nymphs ranged from 1.187 to 6.559 mg. Both intraclutch and interclutch variation were recorded. The mean weights were different among clutches and the coefficients of variation within a clutch ranged from 3.3 to 29.2%. Variation in the nymphal weight was certainly derived from variation in the egg weight because there was a high correlation between the two weights. Factors affecting interclutch variation in nymphal weight were examined by multiple regression analysis. Nymphal weight was positively correlated with the body size and food conditions of female parents, and negatively correlated with the clutch size. Among these three factors, the food conditions of female parents had the largest apparent effect on the interclutch variation. The results suggest that females with larger body size and more food produce larger offspring, and that there is a trade-off between offspring size and clutch size. Heavier nymphs had larger body size (carapace width) and may have larger energy reserves. Heavier nymphs survived experimental starvation for a significantly longer period.     

The Relationship between Health Survey and Medical Chart Review Results in a Rural Population

The objective of this study was to understand the relationship between health survey and medical chart based information. The study population consisted of adult patients (17 years of age and older) attending the Bella Coola Medical Clinic who also completed a detailed Health and Quality of Life Survey. A total of 674 adults completed the Health and Quality of Life Survey. Demographically there was excellent agreement between self-report and clinic data for age, sex, height, weight and Aboriginal ancestry. For morbidity, there was excellent agreement between self-reported and clinically recorded diabetes. Good agreement was observed for diagnoses of cancer, heart problems, hypertension, arthritis and breathing problems. Poor agreement was observed for diagnoses of depression, back/neck problems, eye problems, walking problems, stroke, hearing problems and bone/joint problems. There was poor agreement between the number of self-reported and charted clinic visits. Excellent agreement was shown between self-reported height and weight and clinic height and weight. When BMI was calculated good agreement was achieved between self-report and chart data. It can be concluded that the relationship between chart review and self-report health information observed in this rural population is similar to findings from other populations. Researchers who use self-report data on co-morbidity and obesity measures should be aware of possible error in their estimates and how these errors could affect their findings.