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

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
6 July 2020 | CWP34/20

Previous version

Inference after estimation of breaks
Isaiah Andrews, Toru Kitagawa, Adam McCloskey
15 October 2019 | CWP51/19
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
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
Inference on winners

Many empirical questions can be cast as inference on a parameter selected through optimization. For example, […]

Isaiah Andrews, Toru Kitagawa, Adam McCloskey
31 December 2018 | CWP73/18

Previous version

Inference on winners
Isaiah Andrews, Toru Kitagawa, Adam McCloskey
10 May 2018 | CWP31/18