His primary scientific interests are in Politics, Immigration, Political economy, Conjoint analysis and Scale. His work on Democracy as part of his general Politics study is frequently connected to Tax policy, thereby bridging the divide between different branches of science. The concepts of his Immigration study are interwoven with issues in Prejudice, Public opinion and Political psychology.
His Political economy study combines topics from a wide range of disciplines, such as Salient, Panel data, Social policy, Immigrant population and Opposition. His Conjoint analysis research includes themes of Ethnocentrism, Market position, Development economics and Demographic economics. The Scale study which covers Respondent that intersects with Identification.
The scientist’s investigation covers issues in Politics, Immigration, Social psychology, Public opinion and Political economy. The Politics study combines topics in areas such as Panel data, Development economics and Ethnic group. Daniel J. Hopkins has included themes like Salient, Ethnocentrism, Prejudice and Demographic economics in his Immigration study.
His work carried out in the field of Social psychology brings together such families of science as Test, Democracy, Presidential election and Presidential campaign. His studies in Public opinion integrate themes in fields like Public relations, Health insurance, Framing effect, Framing and Political psychology. His studies examine the connections between Political economy and genetics, as well as such issues in Regression discontinuity design, with regards to Centrality, Discretion, Public administration and Criminal justice.
Politics, Presidential system, Voting, Social psychology and Public opinion are his primary areas of study. His Politics research integrates issues from Microeconomics, Immigration and Causal inference. While working on this project, Daniel J. Hopkins studies both Immigration and Association.
His studies deal with areas such as Prejudice and Turnout as well as Presidential system. His study in the field of Prejudice is also linked to topics like Perception. His research investigates the link between Public opinion and topics such as Democracy that cross with problems in Political economy.
Daniel J. Hopkins spends much of his time researching Social psychology, Politics, Racial threat, Prejudice and Tracking. As part of his studies on Social psychology, Daniel J. Hopkins frequently links adjacent subjects like Presidential campaign. Daniel J. Hopkins interconnects Identity, Immigration and Asian americans in the investigation of issues within Politics.
His Tracking study spans across into fields like Ethnic group, Rhetoric, Prejudice and Presidential system.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Public Attitudes Toward Immigration
Jens Hainmueller;Daniel J. Hopkins.
Annual Review of Political Science (2014)
Politicized Places: Explaining Where and When Immigrants Provoke Local Opposition
Daniel J. Hopkins.
American Political Science Review (2010)
A Method of Automated Nonparametric Content Analysis for Social Science
Daniel J. Hopkins;Gary King.
American Journal of Political Science (2010)
Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments
Jens Hainmueller;Daniel J. Hopkins;Teppei Yamamoto.
Political Analysis (2014)
The Hidden American Immigration Consensus: A Conjoint Analysis of Attitudes toward Immigrants
Jens Hainmueller;Daniel J. Hopkins.
American Journal of Political Science (2015)
The Constraining Power of International Treaties: Theory and Methods
Beth A. Simmons;Daniel J. Hopkins.
American Political Science Review (2005)
When Mayors Matter: Estimating the Impact of Mayoral Partisanship on City Policy
Elisabeth R. Gerber;Daniel J. Hopkins.
American Journal of Political Science (2011)
Beyond Binary Labels: Political Ideology Prediction of Twitter Users
Daniel Preoţiuc-Pietro;Ye Liu;Daniel Hopkins;Lyle Ungar.
meeting of the association for computational linguistics (2017)
System for estimating a distribution of message content categories in source data
Gary King;Daniel Hopkins;Ying Lu.
(2008)
Improving Anchoring Vignettes Designing Surveys to Correct Interpersonal Incomparability
Daniel J. Hopkins;Gary King.
Public Opinion Quarterly (2010)
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