A Multivariate Sample-Selection Model: Estimating Cigarette and Alcohol Demands with Zero Observations

Heckman's sample-selection model is generalized to the multivariate case and used to estimate demands for cigarettes, beer, and wine by individuals in the United States. The specification allows correlations between the error terms of multiple selection and level equations, and nests the popular bivariate sample-selection model and two-part model. Empirical results suggest that the proposed model performs better than the restricted specifications. Differentiated effects of variables on probabilities and levels of consumption also suggest rejection of the Tobit system. Gender differences are present, and demographic variables are more important than income in determining consumption of cigarettes, beer, and wine.     

An integrate method for performance of women in science and technology based on entropy measure for objective weighting

In the 21st century the role of women in the science and technology (WIST) field is very important. Many countries are actively promoting policies of women in higher education and R&D careers. A nation’s economic growth depends heavily upon its talent base, specifically, the quantity, quality, and utilization of HRST. Therefore, assessing WIST productivity variation is important. The problem of the complexity of performance evaluation makes the development and the application of standard models more difficult. This study uses the VIKOR and entropy method to evaluate the performance of WIST and rank the priorities for them accordingly. The relative weight of different evaluation criteria for the performance of WIST comes from the entropy results. We can see that, the first two important factors for the performance of WIST are a higher education sector and government sector women researchers, as a percentage of the total researchers. The results show that the Korean alternative has the best performance of WIST followed by the Netherlands and Japan.     

A model for testing the relationship of nursing care and patient outcomes

Studying patient outcomes alone may not provide enough information to determine the associated factors that must be improved when the desired patient outcomes are not achieved. The purpose of this correlational study was to investigate the effects of perceived quality of nursing care and coordination of care on patients' comfort, satisfaction, and length of hospital stay. The overall model-data fit was good according to four indices: the chi-square value, goodness of fit index, adjusted goodness of fit index, and the Steigers root square error of approximation. The proposed model, effects of care quality on patient outcomes, was tested. The relationship between quality of nursing care and the proposed outcomes was tested. The results provide important information to the nursing profession and policymakers in meeting patient care needs.     

Growing Followers: Exploring the Effects of Leader Humility on Follower Self‐Expansion,Self‐Efficacy,and Performance

Although the effectiveness of leader humility has been well documented, our understanding of how leader humility influences followers psychologically is limited. Surpassing a mere leader‐centric understanding of the leader influence process by more fully understanding how leadership behavior shapes followers psychologically has been identified as a critical need by leadership scholars. Drawing on self‐expansion theory, we argue that leader humility triggers followers’ self‐expansion and that this psychological change enhances followers’ self‐efficacy, which in turn contributes to followers’ task performance. We also argue that the relationship between leader humility and followers’ self‐expansion is strengthened when leaders and followers are similar in age and gender. Using a time‐lagged research design with responses from 256 leader–follower dyads, we found support for our proposed model. We discuss the theoretical implications for our findings and suggest areas for future research.     

Targeting and distribution in complex emergencies: Participatory management of humanitarian food assistance

The extensive literature on community participation in the targeting and management of humanitarian food assistance suggests that participatory approaches work best in slow-onset emergencies with no conflict or displacement. Yet the policies of many agencies—and compliance with Sphere minimum standards—require that the recipient community participate in decisions about the assistance they receive including targeting, regardless of the causes of the emergency. This paper analyzes current practice in the targeting and management of humanitarian food assistance in complex emergencies, the constraints to recipient communities’ participation, and the possibilities for participatory approaches to improve targeting.     

HOUSEHOLD ALCOHOL AND TOBACCO EXPENDITURES IN TURKEY: A SAMPLE‐SELECTION SYSTEM APPROACH

Household characteristics variables are used to quantify alcohol and tobacco participation and spending level decisions for households in Turkey using a sample‐selection system. Statistical tests support separate analyses for urban and rural households and joint estimation of the equation system to ameliorate biases and improve statistical efficiency of estimates. Household characteristics play important roles in determining binary consumption decisions and levels of spending on tobacco but play less definitive roles in alcohol spending, for both urban and rural households. Differences are found in consumption behaviors between the two types of households. (JEL C24, D12, I18)