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The Economics of Giving for Overseas Development
No full textGiving by individuals for development has been illustrated recently by some spectacular examples. A few people giving very large sums, and a very large number of people giving modest amounts, are both important phenomena in the field of development finance. This paper considers how in theory such behaviour might be explained using the tools of economic analysis. The paper is about the economics of giving, but focused on why people give to a particular cause – world development. There has been an extensive literature on the total volume of giving, but much less on the allocation by cause. Giving for development does not seem to be adequately explained by either the “warm-glow” or the “public good” models. The paper suggests a new “identification” approach to individual giving, which combines the results focus of the public goods formulation with the scale of the warm glow model. The analysis initially treats giving for development in isolation, but goes on to examine how development causes fit into the pattern of overall charitable giving by individuals and the pattern of giving over the individual lifetime
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Forward search added-variable t-tests and the effect of masked outliers on model selection
No full textDiscussion on the paper by Spiegelhalter, Sherlaw-Johnson, Bardsley, Blunt, Wood and Grigg
No full textBivariate Boxplots, Multiple Outliers, Multivariate Transformations and Discriminant Analysis: The 1997 Hunter Lecture
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