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Kevin Young

Professor, Economics

Involvement: 

School or College: 

College of Social and Behavioral Sciences

Bio: 

am a political economist whose academic work focuses on financial regulation, transnational policy networks, and the role of private business in shaping global governance. A big focus of my work to date has involved analyzing the ways in which regulatory policy is affected by networks of elites and interest groups. I consider the empirical study of economic elites to be one of the most exciting research opportunities facing social scientists today. Most of my published scholarship falls in line with the eclectic tradition of International Political Economy (IPE), which is a modern instantiation of the classical tradition of political economy that seeks to understand the operation of the material world given inequalities in power. I earned my PhD from the London School of Economics in 2010. In 2011-2012 I was a Postdoctoral Fellow at the Niehaus Center for Globalization and Governance at Princeton University, and in 2012 I joined the University of Massachusetts Amherst, where I currently work in the Department of Economics.

Research Proposal Title: 

Elite Families and Their Networks: Cohesion and Hierarchy

Research: 

The project utilizes social network analysis to represent and measure the social network properties of elite families. Specifically, using an untapped archival resource, and the techniques of network analysis, the project generates a quantitative measure of how densely connected the elite families of a given area are, and how hierarchically arranged they are. This is accomplished via the use of an array of very special archival sources known as ‘blue books’ and ‘social registers’. These documents were used historically to allow elite families to recognize and connect with one another – they were the ‘Facebook’ of the early 20th Century. Importantly, these documents provide a wealth of data: at the household level, all acknowledged family members, their clubs and society memberships and each family members’ education. What these sources provide is a way of mapping the social networks of wealthy elite families, by connecting households together via their common memberships, clubs, educational backgrounds, and even their spatial proximity to one another. Using these data allow us to measure, for a given geography and time period, how cohesive the elite families were, and how hierarchically arranged they are vis-à-vis one another.