Alumni

Toru Kitagawa

cemmap and University College London

Toru is a research staff member at the Centre for Microdata Methods and Practice (cemmap) and is also a Lecturer (Assistant Professor) in Economics. He has previously taught Microeconomectrics and Econometrics for Policy.

Selected Publications

Uncertain Identification

Uncertainty about the choice of identifying assumptions is common in causal studies, but is often ignored […]

Raffaella Giacomini, Toru Kitagawa, Alessio Volpicella
6 July 2020 | CWP33/20

Previous version

Uncertain identification
Raffaella Giacomini, Toru Kitagawa, Alessio Volpicella
18 April 2017 | CWP18/17
The Identification Region of the Potential Outcome Distributions under Instrument Independence

This paper examines the identifying power of instrument exogeneity in the treatment effect model. We derive […]

Toru Kitagawa
21 May 2020 | CWP23/20

Previous version

Robust Bayesian inference in proxy SVARs

We develop methods for robust Bayesian inference in structural vector autoregressions (SVARs) where the parameters of […]

Raffaella Giacomini, Toru Kitagawa, Matthew Read
15 April 2020 | CWP13/20

Previous version

Robust Bayesian Inference in Proxy SVARs
Raffaella Giacomini, Toru Kitagawa, Matthew Read
23 July 2019 | CWP38/19
Robust Bayesian inference for set-identified models

This paper reconciles the asymptotic disagreement between Bayesian and frequentist inference in set-identified models by adopting […]

Raffaella Giacomini, Toru Kitagawa
15 April 2020 | CWP12/20

Previous version

Robust Bayesian inference for set-identified models
Raffaella Giacomini, Toru Kitagawa
7 November 2018 | CWP61/18
Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies

We consider two recent suggestions for how to perform an empirically motivated Monte Carlo study to […]

Arun Advani, Toru Kitagawa, Tymon Słoczyński
29 October 2019 | Journal Article

Previous version

Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies
Arun Advani, Toru Kitagawa, Tymon Słoczyński
27 September 2018 | CWP56/18
Inference after estimation of breaks

In an important class of econometric problems, researchers select a target parameter by maximizing the Euclidean […]

Isaiah Andrews, Toru Kitagawa, Adam McCloskey
15 October 2019 | CWP51/19

Latest version

Inference after Estimation of Breaks
Isaiah Andrews, Toru Kitagawa, Adam McCloskey
6 July 2020 | CWP34/20
Robust Bayesian Inference in Proxy SVARs

We develop methods for robust Bayesian inference in structural vector autoregressions (SVARs) where the impulse responses […]

Raffaella Giacomini, Toru Kitagawa, Matthew Read
23 July 2019 | CWP38/19

Latest version

Robust Bayesian inference in proxy SVARs
Raffaella Giacomini, Toru Kitagawa, Matthew Read
15 April 2020 | CWP13/20
Estimation Under Ambiguity

To perform Bayesian analysis of a partially identified structural model, two distinct approaches exist: standard Bayesian […]

Raffaella Giacomini, Toru Kitagawa, Harald Uhlig
28 May 2019 | CWP24/19
Posterior distribution of nondifferentiable functions

This paper examines the asymptotic behavior of the posterior distribution of a possibly nondifferentiable function g(θ), […]

Toru Kitagawa, Jose Luis Montiel Olea, Jonathan Payne, Amilcar Velez
3 April 2019 | CWP17/19

Previous version

Posterior distribution of nondifferentiable functions
Toru Kitagawa, Jose Luis Montiel Olea, Jonathan Payne
3 October 2017 | CWP44/17
Testing identifying assumptions in fuzzy regression discontinuity designs

We propose a new specification test for assessing the validity of fuzzy regression discontinuity designs (FRD-validity). […]

Yoichi Arai, Yu-Chin Hsu, Toru Kitagawa, Ismael Mourifié, Yuanyuan Wan
20 March 2019 | CWP10/19

Previous version

Testing identifying assumptions in fuzzy regression discontinuity designs
Yoichi Arai, Yu-Chin Hsu, Toru Kitagawa, Ismael Mourifié, Yuanyuan Wan
20 August 2018 | CWP50/18