Vassar College Digital Library

Vassar Scholarship

Vassar Scholarship, the institutional repository formerly known as Digital Window, reflects the research and scholarly output of the Vassar College community.  It provides access to a variety of collections, including senior theses and projects across a wide range of disciplines.

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Vassar Scholarship

Black Women on the White Screen: How American Popular Culture affects the Visuality of the Black Female Body

Publication Date
2014-January-01
Document Type
Senior Capstone Projects
Authors
Knight, Anastassia
Department or Program
Sociology Department
Document Type
Senior Capstone Project
Access Level
Vassar Only
Abstract

In the past, poignant controlling images and stereotypes have run prevalent in the American historical framework. However, these tropes are routinely challenged by black feminists and black entertainers in contemporary popular culture. This thesis will garner a comprehensive analysis of...

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Vassar Scholarship

Powerless Children: How U.S. Immigration Policies are Impacting U.S. Citizen Children

Publication Date
2014-January-01
Document Type
Senior Capstone Projects
Authors
Eliana Corona
Department or Program
Sociology Department
Document Type
Senior Capstone Project
Access Level
Vassar Only
Abstract

Although immigration policies directly implicate the undocumented individual, it is important to note that generally undocumented immigrants are not living in the U.S. alone- they have a family. Therefore, when undocumented parents are faced with orders of deportation, not only...

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Vassar Scholarship

Price collusion in an infinitely repeated Hotelling duopoly

Publication Date
1998-August-01
Document Type
working paper
Authors
Powers, Jonathan
Department or Program
Economics Department
Document Type
Working Paper
Abstract

This paper explores the effect product differentiation has on the ability of firms to collude in setting prices. It is often thought that product differentiation can be an impediment to collusion. However, the results in this paper suggest that product...

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