All Earned Revenue is Not Created Equal: Revenue Embeddedness as a Framework for Exploring Crowding-In/Crowding-Out Effects

Abstract

of SAS, Institute for their gracious assistance.Robust regression analysis provides an alternative to a least squares regression model when fundamental assumptions are unfulfilled by the nature of the data. When the analyst estimates his statistical regression models and tests his assumptions, he frequently finds that the assumptions are substantially violated. Sometimes the analyst can transform his variables to conform to those assumptions. Often, however, a transformation will not eliminate or attenuate the leverage of influential outliers that bias the prediction and distort the significance of parameter estimates. Under these circumstances, robust regression that is resistant to the influence of outliers may be the only reasonable recourse. In this article, some robust regression options within popular statistical packages -including SAS9.0, STATA7, S-PLUS6.1, E-Views, LIMDEP8 --are considered.

The Routledge Handbook of Taxation and Philanthropy

“…Hung (2020) performed a meta-analysis on the relationship between commercialization and private donations, finding that commercialization and private donations were not related in cultural nonprofit organizations -again in studies that were largely from the United States, United Kingdom and Canada. Examining earned revenue activities, Levine Daniel (2021) showed that earned revenue activities complement donations when the activity entails offering new products or services to existing donors.…”