In Song Kim

In Song Kim

Class of 1956 Career Development Associate Professor of Political Science

CV (pdf)

Political methodology; international trade; political economy; big data; machine learning; game theory; lobbying; lobbyview; visualization; dimension reduction.

Biography

In Song Kim is the Class of 1956 Career Development Associate Professor of Political Science at the Massachusetts Institute of Technology. He completed his Ph.D. in Politics at Princeton University. His research interests include International Political Economy and Formal and Quantitative Methodology. Dr. Kim's research focuses on the political economy of firms' lobbying, estimation of political preferences, and causal inference with panel data. His dissertation won the 2015 Mancur Olson Award for the Best Dissertation in political economy. An article version of this research received the 2018 Michael Wallerstein Award for the best published article in political economy. Dr. Kim conducts Big Data analysis of international trade. He is developing methods for dimension reduction and visualization to investigate how the structure of international trade around the globe has evolved over time. His work has appeared and forthcoming in various academic journals, including the American Political Science Review,  American Journal of Political Science, Annual Review of Political Science, International Studies Quarterly, Political Analysis, and The Journal of Politics.

Research

Professor Kim is broadly interested in international political economy and political methodology. His current research interests include firm-level lobbying on trade policies, product-level trade policy-making, and the interaction between domestic political institutions and international trade. Professor Kim is also interested in the development of quantitative methods for causal inference with panel data, "big data" analysis, network models, and estimating political actors' preferred policy outcomes. He is developing a large-scale database on lobbying supported by the National Science Foundation.

Recent Publications

"Political Cleavages within Industry: Firm-level Lobbying for Trade Liberalization," American Political Science Review (2017), Vol. 111, No. 1, pp. 1-20. (lead article)

"The Charmed Life of Superstar Exporters: Survey Evidence on Firms and Trade Policy," Journal of Politics (2017), Vol. 79, No. 1, pp. 133-152. (with Iain Osgood, Dustin Tingley, Thomas Bernauer, Helen V. Milner, and Gabrielle Spilker)

"Estimating Spatial Preferences from Votes and Text," Political Analysis (2018), Vol 26, No. 2, pp. 210--229 (with John Londregan and Marc Ratkovic)

"When Should We Use Unit Fixed Effects Regression Models for Causal Inference with Longitudinal Data?" American Journal of Political Science, Forthcoming. (with Kosuke Imai)

Teaching

17.800 Quantitative Research Methods I: Regression
17.806 Quantitative Research Methods IV: Advanced Topics
17.810/811

Game Theory and Political Theory

17.835 Machine Learning and Data Science in Politics

News

3 Questions: Database shines a bright light on Washington lobbying

Peter Dizikes MIT News

Follow the money. It’s a famous phrase from the Watergate era, but it applies to everyday life in modern Washington as well. That advice just got easier for everyone to carry out, thanks to the launch of LobbyView.org, a new public database created by MIT political scientist In Song Kim

Biography

In Song Kim is the Class of 1956 Career Development Associate Professor of Political Science at the Massachusetts Institute of Technology. He completed his Ph.D. in Politics at Princeton University. His research interests include International Political Economy and Formal and Quantitative Methodology. Dr. Kim's research focuses on the political economy of firms' lobbying, estimation of political preferences, and causal inference with panel data. His dissertation won the 2015 Mancur Olson Award for the Best Dissertation in political economy. An article version of this research received the 2018 Michael Wallerstein Award for the best published article in political economy. Dr. Kim conducts Big Data analysis of international trade. He is developing methods for dimension reduction and visualization to investigate how the structure of international trade around the globe has evolved over time. His work has appeared and forthcoming in various academic journals, including the American Political Science Review,  American Journal of Political Science, Annual Review of Political Science, International Studies Quarterly, Political Analysis, and The Journal of Politics.

Research

Professor Kim is broadly interested in international political economy and political methodology. His current research interests include firm-level lobbying on trade policies, product-level trade policy-making, and the interaction between domestic political institutions and international trade. Professor Kim is also interested in the development of quantitative methods for causal inference with panel data, "big data" analysis, network models, and estimating political actors' preferred policy outcomes. He is developing a large-scale database on lobbying supported by the National Science Foundation.

Recent Publications

"Political Cleavages within Industry: Firm-level Lobbying for Trade Liberalization," American Political Science Review (2017), Vol. 111, No. 1, pp. 1-20. (lead article)

"The Charmed Life of Superstar Exporters: Survey Evidence on Firms and Trade Policy," Journal of Politics (2017), Vol. 79, No. 1, pp. 133-152. (with Iain Osgood, Dustin Tingley, Thomas Bernauer, Helen V. Milner, and Gabrielle Spilker)

"Estimating Spatial Preferences from Votes and Text," Political Analysis (2018), Vol 26, No. 2, pp. 210--229 (with John Londregan and Marc Ratkovic)

"When Should We Use Unit Fixed Effects Regression Models for Causal Inference with Longitudinal Data?" American Journal of Political Science, Forthcoming. (with Kosuke Imai)

Teaching

17.800 Quantitative Research Methods I: Regression
17.806 Quantitative Research Methods IV: Advanced Topics
17.810/811

Game Theory and Political Theory

17.835 Machine Learning and Data Science in Politics

News

3 Questions: Database shines a bright light on Washington lobbying

Peter Dizikes MIT News

Follow the money. It’s a famous phrase from the Watergate era, but it applies to everyday life in modern Washington as well. That advice just got easier for everyone to carry out, thanks to the launch of LobbyView.org, a new public database created by MIT political scientist In Song Kim