Data and methods for analyzing special interest influence in rulemaking
| Autor: | Brian Libgober, Daniel Carpenter, Devin Judge-Lord, Steven Rashin |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Government
Sociology and Political Science media_common.quotation_subject 05 social sciences Rulemaking Public policy Political communication Special Interest Group Data science 0506 political science Politics Political science 0502 economics and business Agency (sociology) 050602 political science & public administration Bureaucracy 050207 economics media_common |
| Zdroj: | Interest Groups & Advocacy. 9:425-435 |
| ISSN: | 2047-7422 2047-7414 |
| DOI: | 10.1057/s41309-020-00094-w |
| Popis: | The US government creates astonishingly complete records of policy creation in executive agencies. In this article, we describe the major kinds of data that have proven useful to scholars studying interest group behavior and influence in bureaucratic politics, how to obtain them, and challenges that we as users have encountered in working with these data. We discuss established databases such as regulations.gov, which contains comments on draft agency rules, and newer sources of data, such as ex-parte meeting logs, which describe the interest groups and individual lobbyists that bureaucrats are meeting face-to-face about proposed policies. One challenge is that much of these data are not machine-readable. We argue that scholars should invest in several projects to make these datasets machine-readable and to link them to each other as well as to other databases. |
| Databáze: | OpenAIRE |
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