Compendium of Successful Practices, Strategies, and Resources in the U.S. DOT Disadvantaged Business Enterprise Program (2019) / Chapter Skim
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Pages 197-200
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197 Introduction and Methodology To further examine DBE success, Keen Independent developed multivariate regression models to explore patterns of business success using the DBEs, state DOTs, and trade associations identified as successful and a random sample of all DBEs from 17 state DBE lists. Those models estimate the effect of race, ethnicity, and gender on the probability of being a successful DBE while statistically controlling for other business characteristics.
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198 Compendium of Successful Practices, Strategies, and Resources in the U.S. DOT Disadvantaged Business Enterprise Program The study team also controlled for industry and race/ethnicity and gender factors using a set of binary variables.
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Statistical Analysis of DBE Success 199 firms in the data, and they too were less likely to be identified as successful as white womanowned DBEs (coefficient is for "majority-owned firms")
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From page 200... ...
200 Compendium of Successful Practices, Strategies, and Resources in the U.S. DOT Disadvantaged Business Enterprise Program Variable Number of state DOTs certified 0.329 *
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