Bayesian model averaging (BMA) provides a coherent and systematic mechanism for
accounting for model uncertainty. It can be regarded as an direct application of Bayesian …

The collection and analysis of observational and experimental data represent the main tools
for assessing the presence, the extent, the nature, and the trend of discrimination …

In this study, I examine the role racial minorities in the boardroom can play in reducing social
injustice by promoting more equal access to mortgage credit to minority households. I …

Discrimination data analysis has been investigated for the last fifty years in a large body of
social, legal, and economic studies. Recently, discrimination discovery and prevention has …

Research has found wide disparities in loan denial rates among different racial/ethnic
groups. Two competing explanations for these gaps arise. One argument is that these …

Discrimination discovery from data consists in the extraction of discriminatory situations and
practices hidden in a large amount of historical decision records. We discuss the …

The putative existence of race-based discrimination in mortgage pricing is both a scholarly
and societal concern. Efforts to assess discrimination empirically, however, are typically …

This thesis examines the accessibility of housing loans on homeownership in Urban China.
Greater accessibility to housing loans is expected to have a positive effect on consumers' …

Reverse mortgages are designed to allow house-rich but cash-poor homeowners the ability
to tap the equity in their homes. This unique mortgage product has several features that …

Political scientists have never systematically investigated patterns of residential segregation
using comprehensive datasets. In response, this paper examines an important research …