Research
Peer-Reviewed Publications
Taeyong Park and Andrew Reeves "Local Unemployment and Voting for President: Uncovering Causal Mechanisms" 2018. Political Behavior. [Replication files]
Yeonho Lee and Taeyong Park "Civil Participation in the Making of a New Regulatory State in Korea: 1998-2008." 2009. Korea Observer. 40(3).
Yeonho Lee, Yoojin Lim, and Taeyong Park "Domestic Political Factors of the Rise of Governance." 2007. 21st Century Political Science Review. 17(3). (in Korean) -- Best Paper Award by Korea Research Foundation, Dec 2008.
Research Grant
"Longitudinal Analysis of Media Coverage and Public Attention: Data Mining and Applications to Measuring Issue Salience" Qatar Foundation Seed Research Fund ($50,000)
Articles Under Review
"Taking Model Uncertainty Seriously: Modeling Autoregressive Distributed Lags via the Bayesian Adaptive Lasso"
"Electoral Context and Presentation of Self" (with Patrick Tucker)
Software Publications
R package weightTAPSPACK: Finds weights for TAPS survey data (with David Carlson and Michelle Torres)
https://cran.r-project.org/web/packages/weightTAPSPACK/index.html
Taeyong Park and Andrew Reeves "Local Unemployment and Voting for President: Uncovering Causal Mechanisms" 2018. Political Behavior. [Replication files]
Yeonho Lee and Taeyong Park "Civil Participation in the Making of a New Regulatory State in Korea: 1998-2008." 2009. Korea Observer. 40(3).
Yeonho Lee, Yoojin Lim, and Taeyong Park "Domestic Political Factors of the Rise of Governance." 2007. 21st Century Political Science Review. 17(3). (in Korean) -- Best Paper Award by Korea Research Foundation, Dec 2008.
Research Grant
"Longitudinal Analysis of Media Coverage and Public Attention: Data Mining and Applications to Measuring Issue Salience" Qatar Foundation Seed Research Fund ($50,000)
Articles Under Review
"Taking Model Uncertainty Seriously: Modeling Autoregressive Distributed Lags via the Bayesian Adaptive Lasso"
"Electoral Context and Presentation of Self" (with Patrick Tucker)
Software Publications
R package weightTAPSPACK: Finds weights for TAPS survey data (with David Carlson and Michelle Torres)
https://cran.r-project.org/web/packages/weightTAPSPACK/index.html