Influencing a Polarized and Connected Legislature
When can an interest group exploit polarization between political parties to its advantage? Building upon Battaglini and Patacchini (2018), we study a model where an interest group credibly promises payments to legislators conditional on voting for its preferred policy. A legislator can be directly susceptible to other legislators and value voting like them. The overall pattern of inter-legislator susceptibility determines the relative influence of individual legislators, and therefore the relative influence of the parties. We show that high levels of ideological or affective polarization are more likely to benefit the interest group when the party ideologically aligned with the interest group is relatively more influential. However, ideological and affective polarization operate in different ways. The influence of legislators is independent of ideological polarization. In contrast, affective polarization effectively creates negative links between legislators across parties, and thus modifies the relative influence of individual legislators and parties.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Compact Dual-Polarized Vivaldi Antenna for Ground Penetrating Radar (GPR) Application
In this paper, a compact dual-polarized Vivaldi antenna is presented. Four Vivaldi elements are used as radiators, and are positioned obliquely and connected in a horn shape. By exciting two sets of elements, two orthogo…
GPRAre Politicians Responsive to Mass Shootings? Evidence from U.S. State Legislatures
The United States leads the world in the number of mass shootings that occur each year even as policy making on firearms remains polarized along party lines. Are legislators responsive to mass shootings? We estimate the …
A Comparison of Machine Learning Algorithms Applied to American Legislature Polarization
We present a novel approach to the measurement of American state legislature polarization with an experimental comparison of three different machine learning algorithms. Our approach strictly relies on public data source…
BIG-bench Machine LearningregressionA systems framework for remedying dysfunction in U.S. democracy
Democracy often fails to meet its ideals, and these failures may be made worse by electoral institutions. Unwanted outcomes include polarized institutions, unresponsive representatives, and the ability of a faction of vo…
A Domain-adaptive Pre-training Approach for Language Bias Detection in News
Media bias is a multi-faceted construct influencing individual behavior and collective decision-making. Slanted news reporting is the result of one-sided and polarized writing which can occur in various forms. In this wo…
Bias DetectionDecision MakingSentence