Taeyong Park

Taeyong Park

Visiting Assistant Teaching Professor, Statistics

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Education

Ph.D. Political Science, Washington University in St. Louis, USA

M.A. Economics, Claremont Graduate University, USA

M.A. Political Science, Yonsei University, Korea

B.A. Political Science, Yonsei University, Korea

Area Of Expertise

Applied statistics for social science data: Bayesian statistics, machine learning methods, causal inference, time series analysis

American politics: political behavior, voting and elections

Korean politics: political economy, development, voting and elections

Publications

"Local Unemployment and Voting for President: Uncovering Causal Mechanisms." 2018. Political Behavior. (with Andrew Reeves)

"Civil Participation in the Making of a New Regulatory State in Korea: 1998-2008." 2009. Korea Observer. (with Yeonho Lee)

"Domestic Political Factors of the Rise of Governance." 2007. 21st Century Political Science Review. (with Yeonho Lee and Yoojin Lim)

University Service

Member, Dedication to Students Academic Excellence Award Committee, Mar 2018

Co-director, Statistical Consulting Center, Aug 2018 – present

Professional Activities

Conference Participation: Annual Meeting of the Society for Political Methodology, 2014; 2016; 2018, International Political Science Association, 2018, NBER-NSF Seminar on Bayesian Inference in Econometrics and Statistics (SBIES), 2017, American Political Science Association, 2015; 2016, Midwest Political Science Association, 2014, Southern Political Science Association, 2014

Reviewer: Political Analysis, Political Behavior

Membership: American Political Science Association, American Political Science Association Political Methodology Section, Society of Political Methodology, Midwest Political Science Association, International Political Science Association

Courses Taught

70-207 Probability and Statistics for Business Applications

70-208 Regression Analysis

73-407 Fundamentals of Statistical Modeling

36-201 Statistical Reasoning and Practice

36-202 Methods for Statistics and Data Science