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
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