Full-text of this article is not available in this e-prints serivce. This article was originally published following peer-review in the International Journal of Nonprofit and Voluntary Sector Marketing, published by and copyright John Wiley & Sons Ltd.

I am a senior Marketing major, and I wanted to incorporate what I have learned the past four years into my honors project. Acting as a consultant to a local non-profit here in Rhode Island, I developed a marketing plan to help The Welcome House target their local affluent community. The mission...

In Australia today Not-for-profit organisations, like most other entities, are trying to respond effectively to challenges associated with the recruitment and retention of competent, experienced and committed staff. Unlike government and commercial entities, however, the poor resourcing of...

This dissertation is a collection of three essays in the fields of environmental and public economics. The first essay assesses the effect of government spending on charitable donations to environmental causes. Using a theoretical model, I solve for changes in private donations due to increased...

Some diverse indicators used to measure the innovation process are considered, They include those with art aggregate, and often national, focus, and rely on data from scientific publications, patents and R&D expenditures, etc. Others have a firm-level perspective, relying primarily on surveys or...

In much of applied statistics variables of interest are measured with error. In particular, regression with covariates that are subject to measurement error requires adjustment to avoid biased estimates and invalid inference. We consider two aspects of this problem. Detection Limits (DL) arise...

Estimation of flow volumes in computer networks involves the use of data that are either highly aggregated or fairly noisy. We address several conceptual and practical aspects of the use of such data for flow volume estimation in this work. The results presented are often of general statistical...

We propose a scaled linear mixed model to assess the effects of exposure and other covariates on multiple continuous outcomes. The most general form of the model allows a different exposure effect for each outcome. An important special case is a model that represents the exposure effects using a...