Graduate Student Posters

Modeling Time and Space Together

Ali Kagalwala (Texas A&M University), Andrea Junqueira (Texas A&M University), Guy D. Whitten (Texas A&M University), Laron K. Williams (University of Missouri) and Cameron Wimpy (Arkansas State University)

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New Frontiers in Dynamic Pie Modeling

Andrea Junqueira (Texas A&M University), Ali Kagalwala (Texas A&M University), Andrew Philips (University of Colorado Boulder) and Guy Whitten (Texas A&M University)

Abstract: In this paper, we...

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A General Method for Detecting & Characterizing Interference in Field Experiments

Connor Jerzak (Harvard University)

Abstract: With the rise of online social networks, there has been growing interest in modeling how experimental units influence each another---a phenomenon known as "interference'' in the causal inference literature. Current models for interference generally requires knowledge of the way in which units are connected. Yet, in most field experiments, such data is unavailable. In this paper, we propose a...

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Violation of Bright Lines, Term Limit Evasion and Information Control

JunHyeok Jang (University of California, Merced)

Abstract: Constitutional “bright lines” are generally thought to serve as an important guard against democratic breakdown, because violations of these “bright line” institutions provide a focal point that facilitates mass coordination against a leader. In countries with term...

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Leveraging Observational Outcomes to Improve the Generalization of Experimental Results

Melody Huang (University of California, Los Angeles), Erin Hartman (University of California, Los Angeles), Naoki Egami (Columbia University) and Luke Miratrix (Harvard University)

*Award for Best Graduate Student Poster - Methods*

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Distances in Latent Space: A Novel Approach to Analyzing Conjoints

Simon Hoellerbauer (University of North Carolina, Chapel Hill)

Abstract:  Recent work (Abramson, Kocak, and Magazinnik, n.d.) has shown the potential pitfalls of using conjoint analysis to understand aggregate preferences over alternative profiles. Adapting recent work that frames conjoint analysis in an IRT...

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Extracting Political Events From Text Using Grammatical Dependency Parsing and Machine Learning

Andrew Halterman (Massachusetts Institute of Technology)

Abstract: This paper introduces a method that automatically extracts political events from text using grammatical parsing and machine learning. Much of the scientifically useful information about what political actors are doing is locked away in text. To extract this...

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Floor Speeches and Ideological Position: Estimating Ideology of Representatives

Benjamin Guinaudeau and Simon Roth (University of Konstanz)

Abstract: Estimating ideological position has always been challenging for political scientists. The technical progress of the last decades -digitalization, computational improvements- opened new opportunities to measure ideological position. While...

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Certain. Wrong. Misinformed? Evaluating Survey-Based Measures of Political Misperceptions

Matthew Graham (Yale University)

Abstract: Survey measures of the public's factual beliefs suggest widespread misinformation on politically relevant matters of fact: not only do many Americans not only choose incorrect responses, but...

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Targeting and the Timing of Online Censorship: The Case of Venezuela

Ishita Gopal (Pennsylvania State University)

Abstract: In this paper I advance a theory to explain the timing of internet censorship in authoritarian regimes. Censorship as a means of digital repression has been on a rise across...

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Measuring Regulatory Barriers Using Annual Reports of Firms

Haosen Ge (Princeton University)

Abstract: Existing studies show that regulations are one of the major barriers to global economy. Nonetheless, identifying and measuring regulatory barriers remains a challenging task for scholars. I...

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Conjoint Analysis in Studying Descriptive Representation

Laura Felone, Khasan Redjabov and Eli August (University of Wisconsin)

Abstract: We replicate Teele et al.’s (2018) substantively important question about political representation with a recent...

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Keyword Assisted Topic Models

Shusei Eshima (Harvard University), Tomoya Sasaki (Massachusetts Institute of Technology) and Kosuke Imai (Harvard University)

Abstract: For a long time, many social scientists have conducted content analysis by using their substantive knowledge and manually coding documents. In recent years, however, fully automated...

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How Criminal Organizations Expand to Strong States: Migrants' Exploitation and Vote Buying in Northern Italy

Gemma Dipoppa (University of Pennsylvania)

Abstract:  Criminal organizations are widely believed to emerge in weak states unable to protect the property rights and safety of their citizens. Yet, criminal groups often expand to states with strong capacity and well-functioning institutions. This paper proposes a theory accounting...

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A Variable Selection Approach to Spillovers

Gustavo Diaz (University of Illinois, Urbana–Champaign)

Abstract: Spillovers or interference feature in many questions of interest in the social sciences. Current approaches to analyze spillovers in experiments assume that the researcher observes all relevant networks, implying knowledge of how units are connected. However,...

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