2016 - Gladys M. Kammerer Award, American Political Science Association (APSA)
Econometrics, Politics, Topic model, Data science and Mediation are his primary areas of study. His study in the fields of Causal inference under the domain of Econometrics overlaps with other disciplines such as Scholarly communication. His Causal inference course of study focuses on Identification and Machine learning, Structural equation modeling, Statistical model, Artificial intelligence and Linear model.
His work carried out in the field of Politics brings together such families of science as Coding and Development economics. His Topic model research is multidisciplinary, incorporating perspectives in Comparative politics, Software, Metadata and Machine translation. His work deals with themes such as Semiparametric regression, Computational statistics, Cognitive psychology and Direct effects, which intersect with Mediation.
His primary scientific interests are in Politics, Foreign policy, Public opinion, Political economy and Social psychology. His work in Politics addresses subjects such as Scholarship, which are connected to disciplines such as International law. His Foreign policy research incorporates elements of Economic policy, Voting, International economics and Public administration.
In his study, which falls under the umbrella issue of Public administration, Reputation and National security is strongly linked to International relations. His Public opinion study combines topics in areas such as Immigration and Immigration policy. His Political economy research integrates issues from Opposition, China and Foreign direct investment.
Dustin Tingley mainly investigates Politics, Mathematics education, Psychological intervention, International economics and Instructional design. Many of his research projects under Politics are closely connected to Tick with Tick, tying the diverse disciplines of science together. The concepts of his Mathematics education study are interwoven with issues in Randomized experiment, Statistical model and Educational resources.
His work on Free trade, Free trade agreement and Trade volume as part of general International economics study is frequently linked to Margin, bridging the gap between disciplines. His Instructional design research includes elements of Adaptive system, Adaptive learning and Personalization. His study focuses on the intersection of Liberalization and fields such as Product differentiation with connections in the field of Product.
Dustin Tingley spends much of his time researching Epistemology, Public opinion, Value, Microeconomics and Information retrieval. Dustin Tingley has researched Epistemology in several fields, including Replication crisis and Econometrics. His research integrates issues of Moral hazard, Natural resource economics and Imperfect in his study of Public opinion.
His Topic model study in the realm of Information retrieval interacts with subjects such as R package.
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A general approach to causal mediation analysis.
Kosuke Imai;Luke Keele;Dustin Tingley.
Psychological Methods (2010)
mediation: R Package for Causal Mediation Analysis
Dustin Tingley;Teppei Yamamoto;Kentaro Hirose;Luke Keele.
Journal of Statistical Software (2014)
Redefine statistical significance
Daniel J. Benjamin;James O. Berger;Magnus Johannesson;Magnus Johannesson;Brian A. Nosek;Brian A. Nosek.
Nature Human Behaviour (2018)
Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies
Kosuke Imai;Luke Keele;Dustin Tingley;Teppei Yamamoto.
American Political Science Review (2011)
Structural topic models for open ended survey responses
Margaret E. Roberts;Brandon M. Stewart;Dustin Tingley;Christopher Lucas.
American Journal of Political Science (2014)
“Who are these people?” Evaluating the demographic characteristics and political preferences of MTurk survey respondents:
Connor Huff;Dustin Tingley.
Research & Politics (2015)
Redefine Statistical Significance
Daniel Benjamin;James Berger;Magnus Johannesson;Brian Nosek.
Research Papers in Economics (2017)
stm: An R Package for Structural Topic Models
Margaret E. Roberts;Brandon M. Stewart;Brandon M. Stewart;Dustin Tingley.
Journal of Statistical Software (2019)
Monoamine oxidase A gene (MAOA) predicts behavioral aggression following provocation
Rose McDermott;Dustin Tingley;Jonathan Cowden;Giovanni Frazzetto.
Proceedings of the National Academy of Sciences of the United States of America (2009)
Causal Mediation Analysis
Raymond Hicks;Dustin Tingley.
Stata Journal (2011)
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