I created a decomposition technique for logits, probits and other nonlinear models based on the linear Blinder-Oaxaca decomposition technique. The decomposition technique is useful for explaining the causes of racial, gender and other forms of inequality in economic, education, health and other outcomes. It has been widely used in thousands of studies across numerous fields and disciplines including economics, political science, psychology, sociology, social sciences, health, medicine, demography, environmental science, business and law. It has also been used to study differences, disparities or gaps in outcomes across many dimensions such as time periods, countries, states, and institutions.
I have been involved in several ongoing efforts to measure and create national datasets on entrepreneurship, startups, business ownership and self-employment. The most ambitious project is with the U.S. Census Bureau to capture information on the universe of U.S. startups including both employer and non-employer startups since 1996. I have also worked with the Kauffman Foundation to create indictors of entrepreneurial activity since 2005. Links to information and data are provided here.