Replication Data for: A Dynamic Measure of Bureaucratic Reputation: New Data for New Theory

Bureaucratic reputation is one of the most important concepts used to understand the behaviour of administrative agencies and their interactions with multiple audiences. Despite a rich theoretical literature discussing reputation, we do not have a comparable measure across agencies, between countries, and over time. I present a new strategy to measure bureaucratic reputation from legislative speeches with word-embedding techniques. I introduce an original dataset on the reputation of 465 bureaucratic bodies over a period of forty years, and across two countries, the US and the UK. I perform several validation tests and present an application of this method to investigate whether partisanship and agency politicisation matter for reputation. I find that agencies enjoy a better reputation among the members of the party in government, with partisan differences less pronounced for independent bodies. I finally discuss how this measurement strategy can contribute to classical and new questions about political-administrative interactions.