Search Results for author: Takuya Ura

Found 8 papers, 0 papers with code

Policy Relevant Treatment Effects with Multidimensional Unobserved Heterogeneity

no code implementations20 Mar 2024 Takuya Ura, Lina Zhang

This paper provides a framework for the policy relevant treatment effects using instrumental variables.

Informativeness

Doubly Robust Estimators with Weak Overlap

no code implementations18 Apr 2023 Yukun Ma, Pedro H. C. Sant'Anna, Yuya Sasaki, Takuya Ura

In this paper, we derive a new class of doubly robust estimators for treatment effect estimands that is also robust against weak covariate overlap.

Faster estimation of dynamic discrete choice models using index sufficiency

no code implementations5 Apr 2023 Jackson Bunting, Takuya Ura

Our proposed estimator uses the equality constraints to decrease the dimension of the optimization problem, thereby generating computational gains.

Discrete Choice Models

Slow Movers in Panel Data

no code implementations22 Oct 2021 Yuya Sasaki, Takuya Ura

Panel data often contain stayers (units with no within-variations) and slow movers (units with little within-variations).

Linear programming approach to nonparametric inference under shape restrictions: with an application to regression kink designs

no code implementations12 Feb 2021 Harold D. Chiang, Kengo Kato, Yuya Sasaki, Takuya Ura

We develop a novel method of constructing confidence bands for nonparametric regression functions under shape constraints.

regression

Welfare Analysis via Marginal Treatment Effects

no code implementations14 Dec 2020 Yuya Sasaki, Takuya Ura

Consider a causal structure with endogeneity (i. e., unobserved confoundedness) in empirical data, where an instrumental variable is available.

Testing homogeneity in dynamic discrete games in finite samples

no code implementations5 Oct 2020 Federico A. Bugni, Jackson Bunting, Takuya Ura

We refer to this as the "homogeneity assumption" in dynamic discrete games.

valid

Unconditional Quantile Regression with High Dimensional Data

no code implementations27 Jul 2020 Yuya Sasaki, Takuya Ura, Yichong Zhang

This paper considers estimation and inference for heterogeneous counterfactual effects with high-dimensional data.

counterfactual regression +1

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