Discovering hidden statistical issues through individual-level models in ecological studies

ABSTRACT

In ecological studies, individual inference is made based on results from ecological models. Interpretation of the results requires caution since ecological analysis on group level may not hold in the individual level within the groups, leading to ecological fallacy. Using an ecological regression example for analyzing voting behaviors, we highlight that the explicit use of individual-level models is crucial in understanding the results of ecological studies. In particular, we clarify three relevant statistical issues for each individual-level models: assessment of the uncertainty of parameter estimates obtained from a wrong model, the use of shrinkage estimation method for simultaneous estimation of many parameters, and the necessity of sensitivity analysis rather than adhering to one seemingly most compelling assumption.     

A Diversity Index for Model Space Selection in the Estimation of Benchmark and Infectious Doses via Model Averaging

In chemical and microbial risk assessments, risk assessors fit dose‐response models to high‐dose data and extrapolate downward to risk levels in the range of 1–10%. Although multiple dose‐response models may be able to fit the data adequately in the experimental range, the estimated effective dose (ED) corresponding to an extremely small risk can be substantially different from model to model. In this respect, model averaging (MA) provides more robustness than a single dose‐response model in the point and interval estimation of an ED. In MA, accounting for both data uncertainty and model uncertainty is crucial, but addressing model uncertainty is not achieved simply by increasing the number of models in a model space. A plausible set of models for MA can be characterized by goodness of fit and diversity surrounding the truth. We propose a diversity index (DI) to balance between these two characteristics in model space selection. It addresses a collective property of a model space rather than individual performance of each model. Tuning parameters in the DI control the size of the model space for MA.     

Corporate social responsibility driven innovation

This study identifies the substantial relationship between corporate social responsibility (CSR) and innovation activities of firms. Using the French Vigeo sustainability rating and the Thomson Reuters, we divided 619 firms into groups by their industry sectors, regions, and firm characteristics such as size and age. We premise that innovative investment is needed to prepare tomorrow's profits not only by considering investments in technology and in R&D, but also by dealing with sustainability to human, social, environmental, technical, and economic investments. Consequently, when the firm manipulates its short- and long-run business strategies, the consideration of the correlation between types of investment and CSR initiatives will lead to more cooperating effect on the outcome of investments. The findings provide a comprehensive understanding on the effect of sustainable management strategies on the innovation and sustainability of firms.     

Older Adults’ Receipt of Financial Help: Does Personality Matter?

This study examined the role of personality traits in the receipt of financial help at older ages using the 2006 and 2008 waves of Health and Retirement Study data. An investigation of (1) how the five domains of personality traits (openness to experience, conscientiousness, extraversion, agreeableness, and neuroticism) are associated with the receipt of financial help among older adults and (2) the relationship between personality traits and the source of financial help received was examined. Three sets of probit analyses were conducted. The results indicated that personality can predict financial help and the source of financial help. Specifically, older adults who exhibited relatively higher levels of neuroticism and agreeableness were more likely to receive financial help, whereas those who exhibited relatively higher levels of conscientiousness were less likely to receive financial help regardless of the source. Furthermore, older adults who had relatively higher levels of neuroticism were more likely to help themselves with individual sources such as credit cards whereas agreeable older adults were more likely to receive financial help from family members. These findings have implications for financial counseling, planning and education professionals, public assistance program directors, and policy makers. Understanding the effect of personality on financial decision-making can help with financial planning throughout life and inform outreach efforts for those in need of financial help.     

When Nonprofit Organizations Meet Information and Communication Technologies: How Organizational Culture Influences the Use of Traditional,Digital, and Sharing Media

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - In contrast to previous studies that emphasized how resources and institutional forces influence nonprofit organizations...     

What makes hybrid insourcing successful: A new public–private partnership model for social welfare services

Outsourcing has been a key policy tool for delivering a range of social services, and regarded as more effective than insourcing or direct government provision. At the same time, it has also caused many delivery issues such as principal‐agent problems, a lack of policy coordination, and poor‐quality welfare services. While the pendulum continues to swing between insourcing and outsourcing, we aim to propose a new public–private partnership model called the “hybrid insourcing model” and examine which factors influence the performance of the model. In South Korea, around 2010, the local government in Namyangju City was the first to implement the “Hope Care Center model,” a kind of hybrid insourcing model, which has been praised for its innovation and widely emulated by central and local governments. Our analysis utilizes data collected between December 2017 and January 2018 from public sector employees and civilian staff in Namyangju and a comparable city, A. From this, we draw a number of implications, both for theory and for policy. We argue that, for public–private partnerships, active cooperation and equality are the biggest factors in contributing to positive performance. These work alongside leaders with a clear vision and with employees' positive attitude.     

Cultivating employee creativity through strategic internal communication: The role of leadership,symmetry, and feedback seeking behaviors

Using a survey of 405 full-time employees, this study examined how organizations’ internal communication influenced by leadership communication at the supervisory- and senior-levels impacts employee creativity and how employees’ feedback-seeking behaviors mediate these relationships. The results suggest that leadership communication at the supervisory and senior levels positively influence symmetrical internal communication system. The analysis also shows that symmetrical internal communication and leadership communication cause employees to seek more feedback from different interpersonal sources including supervisors, coworkers, and peers in other departments, which in turn enhances creativity. This paper concludes with a discussion of the theoretical and practical implications of these findings for public relations and internal communication.     

Simultaneous edit-imputation and disclosure limitation for business establishment data

Business establishment microdata typically are required to satisfy agency-specified edit rules, such as balance equations and linear inequalities. Inevitably some establishments' reported data violate the edit rules. Statistical agencies correct faulty values using a process known as edit-imputation. Business establishment data also must be heavily redacted before being shared with the public; indeed, confidentiality concerns lead many agencies not to share establishment microdata as unrestricted access files. When microdata must be heavily redacted, one approach is to create synthetic data, as done in the U.S. Longitudinal Business Database and the German IAB Establishment Panel. This article presents the first implementation of a fully integrated approach to edit-imputation and data synthesis. We illustrate the approach on data from the U.S. Census of Manufactures and present a variety of evaluations of the utility of the synthetic data. The paper also presents assessments of disclosure risks for several intruder attacks. We find that the synthetic data preserve important distributional features from the post-editing confidential microdata, and have low risks for the various attacks.     

Likelihood ratio tests for multivariate normality

This paper presents some powerful omnibus tests for multivariate normality based on the likelihood ratio and the characterizations of the multivariate normal distribution. The power of the proposed tests is studied against various alternatives via Monte Carlo simulations. Simulation studies show our tests compare well with other powerful tests including multivariate versions of the Shapiro–Wilk test and the Anderson–Darling test.     

On nonparametric variogram estimation

A critical step for geostatistical prediction is estimation of variogram from the data. One of the popular methods estimating variogram is a smoothed version of classical nonparametric variogram estimator. In this paper we investigate its theoretical and empirical properties to provide useful information for using it. The main results are based on asymptotic theories (i.e., risk and central limit theorem) under nearly infill domain sampling. Simulation is also employed to make our points.