5 citations · 9 across the 10 of their papers we have counts for
11 papers
When Predictions Become Regressors: A Split-Sample Correction for Biases in Downstream Inference
Nathan Canen, Ted Enamorado
Prediction-based methods, including Large Language Models (LLMs) and other machine learning techniques, are often used to construct measures of political phenomena that are difficu…
Empirical Challenges with Peers-of-Peers Instruments in the Linear-In-Means Model
Nathan Canen, Shantanu Chadha
In the linear-in-means model, endogeneity arises naturally due to the reflection problem. A common solution is to use Instrumental Variables (IVs) based on higher-order network lin…
Revealed and Concealed Repression: Theory and Measurement
Maria Titova, Nathan Canen, Emily Hencken Ritter +1
Regimes routinely conceal acts of repression. We show that observed repression may be negatively correlated with total repression, consisting of both revealed and concealed acts. T…
Simple Inference on a Simplex-Valued Weight
Nathan Canen, Kyungchul Song
In many applications, the parameter of interest involves a simplex-valued weight which is identified as a solution to an optimization problem. Examples include synthetic control me…
Synthetic Decomposition for Counterfactual Predictions
Nathan Canen, Kyungchul Song
Counterfactual predictions are challenging when the policy variable goes beyond its pre-policy support. However, in many cases, information about the policy of interest is availabl…
Quantifying Theory in Politics: Identification, Interpretation and the Role of Structural Methods
Nathan Canen, Kristopher Ramsay
The best empirical research in political science clearly defines substantive parameters of interest, presents a set of assumptions that guarantee its identification, and uses an ap…
Choosing The Best Incentives for Belief Elicitation with an Application to Political Protests
Nathan Canen, Anujit Chakraborty
Many experiments elicit subjects' prior and posterior beliefs about a random variable to assess how information affects one's own actions. However, beliefs are multi-dimensional ob…
Inference in Linear Dyadic Data Models with Network Spillovers
Nathan Canen, Ko Sugiura
When using dyadic data (i.e., data indexed by pairs of units), researchers typically assume a linear model, estimate it using Ordinary Least Squares and conduct inference using ``d…
A Decomposition Approach to Counterfactual Analysis in Game-Theoretic Models
Nathan Canen, Kyungchul Song
Decomposition methods are often used for producing counterfactual predictions in non-strategic settings. When the outcome of interest arises from a game-theoretic setting where age…
Counterfactual Analysis under Partial Identification Using Locally Robust Refinement
Nathan Canen, Kyungchul Song
Structural models that admit multiple reduced forms, such as game-theoretic models with multiple equilibria, pose challenges in practice, especially when parameters are set-identif…
Estimating Local Interactions Among Many Agents Who Observe Their Neighbors
Nathan Canen, Jacob Schwartz, Kyungchul Song
In various economic environments, people observe other people with whom they strategically interact. We can model such information-sharing relations as an information network, and…