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Through our digital collections, Vassar College Libraries aim to provide access to high-quality digital content generated by the Libraries for research and study, as open as possible; support the teaching, learning, and research needs of the College; preserve at-risk or fragile physical collections through digitization, or at-risk born-digital collections through reformatting; expose hidden, less-used physical collections through access to digital surrogates; and foster experimental, cutting-edge, and innovative projects through technology. Learn More

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A nonparametric analysis of income convergence across the US states

Publication Date
1999-December-01
Document Type
Authors
Department or Program
Abstract

In this paper I apply the nonparametric methods proposed by Quah to data on US state relative income levels. In contrast to Quah's results using cross-country data I find no evidence of polarization in the cross-state income distribution. The long-run...

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A test of normality assumption in the ordered probit model

Publication Date
1995-December-01
Document Type
Authors
Department or Program
Abstract

This paper presents an easily implemented test of the assumption of a normally distributed error term for the ordered probit model. As this assumption is the central maintained hypothesis in all estimation and testing based on this model, the test...

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