Lobbying is growing in the US - more information may be the best regulation.

Lobbying in US politics is not new, but recent revelations over lobbying by Trump election campaign members on behalf of foreign governments and others has brought the practice into renewed focus. Thomas T. Holyoke and Timothy M. LaPira give an overview of a special issue of the journal, Interest Groups & Advocacy, which outlines how lobbying is growing, how its ..

The partisan ties of lobbying firms

This article examines lobbying firms as intermediaries between organized interests and legislators in the United States. It states a partisan theory of legislative subsidy in which lobbying firms are institutions with relatively stable partisan identities. Firms generate greater revenues when their clients believe that firms’ partisan ties are valued highly by members of Congress. It hypothesizes that firms that have partisan ties to the majority party receive greater revenues than do firms that do not have such ties, as well as that partisan ties with the House majority party lead to greater financial returns than do partisan ties to the Senate majority party. These hypotheses are tested using data available under the Lobbying Disclosure Act from 2008 to 2016. Panel regression analysis indicates that firms receive financial benefits when they have partisan ties with the majority party in the House but not necessarily with the Senate majority party, while controlling for firm-level covariates (number of clients, diversity, and organizational characteristics). A difference-in-differences analysis establishes that Democratically aligned lobbying firms experienced financial losses when the Republican Party reclaimed the House in 2011, but there were no significant differences between Republican and Democratic firms when the Republicans reclaimed the Senate in 2015

Robust image analysis with sparse representation on quantized visual features

10.1109/TIP.2012.2219543IEEE Transactions on Image Processing223860-871IIPR

Partisan Competition and the Decline in Legislative Capacity among Congressional Offices

Since the 1990s, members of the US House have shifted resources away from legislative functions to representational activities. We reveal this decline using an original dataset constructed from 236,000 quarterly payroll disbursements by 1,090 member offices for 120,000 unique staff between the 103rd and 113th Congresses, as well as interviews with former members and staff in Congress. These data allow us to test two plausible alternative explanations, one rooted in the centralization of legislative power over time and the other in conservatives’ desires to contract government power. We show that the decline in legislative capacity is symmetrical between and consistent within both parties, contrary to expectations rooted in asymmetrical, ideological sabotage. Additionally, this divestment occurs within incumbent member offices over time, accelerates when new members replace incumbents, and persists when majority control changes. We conclude that competition over institutional control and centralization of legislative functions motivates declining legislative capacity among individual members

Large-N Bill Positions Data from MapLight.org: What Can We Learn from Interest Groups’ Publicly Observable Legislative Positions?

The transparency organization MapLight records instances of organizations taking positions for and against legislation in Congress. The dataset comprises some 130,000 such positions taken on thousands of bills between the 109th and 115th Congresses (2005–2018). The depth and breadth of these data potentially give them wide applicability for answering questions about interest group behavior and influence as well as legislative politics more broadly. However, the coverage and content of the data are affected by aspects of MapLight’s research process. This article introduces the MapLight dataset and its potential uses, examines issues related to sampling and other aspects of MapLight’s research process, and explains how scholars can address these to make appropriate use of the data