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

Who should be treated? Empirical welfare maximization methods for treatment choice

One of the main objectives of empirical analysis of experiments and quasi-experiments is to inform policy […]

Toru Kitagawa, Aleksey Tetenov
19 May 2017 | CWP24/17

Previous version

Who should be treated? Empirical welfare maximization methods for treatment choice
Toru Kitagawa, Aleksey Tetenov
10 March 2015 | CWP10/15
Uncertain identification

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

Raffaella Giacomini, Toru Kitagawa, Alessio Volpicella
18 April 2017 | CWP18/17

Latest version

Uncertain Identification
Raffaella Giacomini, Toru Kitagawa, Alessio Volpicella
6 July 2020 | CWP33/20
Updating ambiguous beliefs in a social learning experiment

We present a social learning experiment in which subjects predict the value of a good in […]

Roberta De Filippis, Antonio Guarino, Philippe Jehiel, Toru Kitagawa
24 March 2017 | CWP13/17

Previous version

Updating ambiguous beliefs in a social learning experiment
Roberta De Filippis, Antonio Guarino, Philippe Jehiel, Toru Kitagawa
9 May 2016 | CWP18/16
Equality-minded treatment choice

The goal of many randomized experiments and quasi-experimental studies in economics is to inform policies that […]

Toru Kitagawa, Aleksey Tetenov
22 February 2017 | CWP10/17

Latest version

Equality-minded treatment choice
Toru Kitagawa, Aleksey Tetenov
12 December 2018 | CWP71/18
Posterior distribution of nondifferentiable functions

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

Toru Kitagawa, Jose Luis Montiel Olea, Jonathan Payne
9 May 2016 | CWP20/16

Latest version

Posterior distribution of nondifferentiable functions
Toru Kitagawa, Jose Luis Montiel Olea, Jonathan Payne
3 October 2017 | CWP44/17
Updating ambiguous beliefs in a social learning experiment

We present a novel experimental design to study social learning in the laboratory. Subjects have to […]

Roberta De Filippis, Antonio Guarino, Philippe Jehiel, Toru Kitagawa
9 May 2016 | CWP18/16

Latest version

Updating ambiguous beliefs in a social learning experiment
Roberta De Filippis, Antonio Guarino, Philippe Jehiel, Toru Kitagawa
24 March 2017 | CWP13/17
Model averaging in semiparametric estimation of treatment effects

In the practice of program evaluation, choosing the covariates and the functional form of the propensity […]

Toru Kitagawa, Chris Muris
13 August 2015 | CWP46/15

Latest version

Model averaging in semiparametric estimation of treatment effects
Toru Kitagawa, Chris Muris
1 July 2016 | Journal Article

Previous version

Who should be treated? Empirical welfare maximization methods for treatment choice

One of the main objectives of empirical analysis of experiments and quasi-experiments is to inform policy […]

Toru Kitagawa, Aleksey Tetenov
10 March 2015 | CWP10/15

Latest version

Inference about Non-Identified SVARs

We propose a method for conducting inference on impulse responses in structural vector autoregressions (SVARs) when […]

Raffaella Giacomini, Toru Kitagawa
26 November 2014 | CWP45/14

Latest version

Robust Bayesian inference for set-identified models
Raffaella Giacomini, Toru Kitagawa
7 November 2018 | CWP61/18
A Test for Instrument Validity

This paper develops a specification test for instrument validity in the heterogeneous treatment effect model with […]

Toru Kitagawa
19 August 2014 | CWP34/14

Latest version

A Test for Instrument Validity
Toru Kitagawa
1 September 2015 | Journal Article

Previous version