Machine learning methods have gained a great deal of popularity in recent years amongpublic administration scholars and practitioners. These techniques open the door tothe analysis of text, image and other types of data that allow us to test foundationaltheories of public administration and to...

How governments design institutions for the revelation of information depends on how the costs and benefits are distributed across affected groups. In this study I examine the incidence of different kinds of constituencies and how governments give citizens access to information that affects...

We estimate the demand for federal grants-in-aid to the states. Specifically, we analyze the flow of funds from the U.S. Environmental Protection Agency (EPA) to the states as a function of the structure of state political institutions, the political preferences of citizens and elected...

Substantial attention has turned to the elimination of racial health disparities, the role of race in health care provision, and the socioeconomic determinants of public health outcomes in the United States. We shift the focus to the organizational structure of minority health resources and...

We assess Hirschman's theory of exit, voice, and loyalty in the context of voluntary exit from organizations in the public workforce. Specifically, we test the effects of loyalty and voice on the likelihood a person states their intention to leave. We assess these relationships using data from...

Pure incentive schemes rely on the agent's self-interest, rather than more coercive control, to motivate subordinates. Yet most organizations, and in particular public agencies, rely very little on pure incentive contracts and instead use coercive mechanisms of monitoring and sanctioning that...