Maximizing Business Returns to Corporate Social Responsibility (CSR): The Role of CSR Communication

By engaging in corporate social responsibility (CSR) activities, companies can not only generate favorable stakeholder attitudes and better support behaviors (e.g. purchase, seeking employment, investing in the company), but also, over the long run, build corporate image, strengthen stakeholder–company relationships, and enhance stakeholders' advocacy behaviors. However, stakeholders' low awareness of and unfavorable attributions towards companies' CSR activities remain critical impediments in companies' attempts to maximize business benefits from their CSR activities, highlighting a need for companies to communicate CSR more effectively to stakeholders. In light of these challenges, a conceptual framework of CSR communication is presented and its different aspects are analyzed, from message content and communication channels to company- and stakeholder-specific factors that influence the effectiveness of CSR communication.     

Children, spousal love, and happiness: an economic analysis

In this paper we examine how children affect happiness and relationships within a family by analyzing two unique questions in the National Longitudinal Study of Youth’s 1997 cohort. We find that (a) presence of children is associated with a loss of spousal love; (b) loss of spousal love is associated with loss of overall happiness; but (c) presence of children is not associated with significant loss of overall happiness. If children reduce feelings of being loved by the spouse but do not reduce reported happiness even though spousal love induces happiness, then it must be the case that children contribute to parental happiness by providing other benefits. After ruling out some competing compensation mechanisms we infer that loss of spousal love is compensated with altruistic feelings towards children.     

Do women value marriage more? The effect of obesity on cohabitation and marriage in the USA

This paper looks into the impact of obesity and other factors on first entry into a marital or cohabiting union, using 1997 cohort data from the national longitudinal survey. Results show obese women are less likely to be accepted into either cohabitation or marriage, while obese men are less likely to be accepted in a cohabitating relation but are not less likely to enter into marriage. Income affects all union and all genders symmetrically, increasing the likelihood of a union. These results suggest that marriage is a special form of union for women, so they are willing to marry obese men because they value other factors related to the marriage choice, such as commitment or the prospect of having children. Men do not appear to value these factors as much, so obese women are less likely to be accepted into either cohabitation or marriage.

Inter‐State Disparities in Health Outcomes in Rural India: An Analysis Using a Stochastic Production Frontier Approach

In an era of reforms in the health sector and with the role of government in health provision diminishing, emphasis is shifting to making the sector efficient. This article analyses the performance of the rural public health systems of 16 major States in India, using stochastic production frontier techniques and panel data for the period 1986‐97. The results show that States differ not only in capacity‐building in terms of health infrastructure created, but also in efficiency in using these inputs. There is scope for health systems to re‐orient their strategies in order to provide the best health in the most efficient way or at the lowest possible cost.     

Accurate Confidence Interval Estimation of Small Area Parameters Under the Fay–Herriot Model

Small area estimation has long been a popular and important research topic due to its growing demand in public and private sectors. We consider here the basic area level model, popularly known as the Fay–Herriot model. Although much of current research is predominantly focused on second order unbiased estimation of mean squared prediction errors, we concentrate on developing confidence intervals (CIs) for the small area means that are second order correct. The corrected CI can be readily implemented, because it only requires quantities that are already estimated as part of the mean squared error estimation. We extend the approach to a CI for the difference of two small area means. The findings are illustrated with a simulation study.     

The Value of an Employment-Based Green Card

The need for and role of highly skilled immigrant workers in the U.S. economy is fiercely debated. Proponents and opponents agree that temporary foreign workers are paid a lower wage than are natives. This lower wage partly originates from the restricted mobility of workers while on a temporary visa. In this article, we estimate the wage gain to employment-based immigrants from acquiring permanent U.S. residency. We use data from the New Immigrant Survey (2003) and implement a difference-in-difference propensity score matching estimator. We find that for employer-sponsored immigrants, the acquisition of a green card leads to an annual wage gain of about $11,860.     

A comparison of robust estimators based on two types of trimming

The least trimmed squares (LTS) estimator and the trimmed mean (TM) are two well-known trimming-based estimators of the location parameter. Both estimates are used in practice, and they are implemented in standard statistical software (e.g., S-PLUS, R, Matlab, SAS). The breakdown point of each of these estimators increases as the trimming proportion increases, while the efficiency decreases. Here we have shown that for a wide range of distributions with exponential and polynomial tails, TM is asymptotically more efficient than LTS as an estimator of the location parameter, when they have equal breakdown points.     

On symmetry of finite mixtures of normal distributions

In this note we derive a necessary and sufficient condition for a distribution obtained by taking a finite mixture of multivariate normal distributions to be symmetric about zero. The result derived also holds for mixtures of symmetric stable distributions, including the Cauchy distribution.     

Religion, religiosity and educational attainment of immigrants to the USA

This paper quantifies the association between religions, religiosity and educational attainment of new lawful immigrants to the US. This paper considers a broad set of religions that includes most of the major religions of the world. Using data from the New Immigrant Survey (2003), we show that affiliation with religion is not necessarily associated with an increase in educational attainment. Muslim and “Other religion” immigrants have less education compared to the immigrants who are not affiliated with any religion. However, affiliation with the Jewish religion is associated with higher educational attainment for males. With regard to religiosity, our results show that high religiosity is associated with lower educational attainment, especially for females. We also outline alternative frameworks that provide insight about the mechanisms that link religion and religiosity with educational attainment.