Matthew J. Lebo – författare

Why is Congress mired in partisan polarization? The conventional answer is that members of Congress and their constituencies fundamentally disagree with one other along ideological lines. But Gregory Koger and Matthew J. Lebo uncover a more compelling reason that today's political leaders devote so much time to conveying their party's positions, even at the expense of basic government functions: Both parties want to win elections. In Strategic Party Government, Koger and Lebo argue that Congress is now primarily a forum for partisan competition. In order to avoid losing, legislators unite behind strong party leaders, even when they do not fully agree with the policies their party is advocating. They do so in the belief that party leaders and voters will reward them for winning or at least trying to win these legislative contests. And as the parties present increasingly united fronts, partisan competition intensifies and pressure continues to mount for a strong party-building strategy despite considerable disagreement within the parties.By bringing this powerful but underappreciated force in American politics to the forefront, Koger and Lebo provide a new interpretation of the problems facing Congress that is certain to reset the agenda for legislative studies.

Understanding change over time is a critical component of social science. However, data measured over time - time series - requires their own set of statistical and inferential tools. In this book, Suzanna Linn, Matthew Lebo, and Clayton Webb explain the most commonly used time series models and demonstrate their applications using examples. The guide outlines the steps taken to identify a series, make determinations about exogeneity/endogeneity, and make appropriate modelling decisions and inferences. Detailing challenges and explanations of key techniques not covered in most time series textbooks, the authors show how navigating between data and models, deliberately and transparently, allows researchers to clearly  explain their statistical analyses to a broad audience.