27 citations · 80 across the 17 of their papers we have counts for
6 papers · 1 filter
Paternalism, Autonomy, or Both? Experimental Evidence from Energy Saving Programs
Takanori Ida, Takunori Ishihara, Koichiro Ito +4
Identifying who should be treated is a central question in economics. There are two competing approaches to targeting - paternalistic and autonomous. In the paternalistic approach,…
Testing Instrument Validity with Covariates
Thomas Carr, Toru Kitagawa
We develop a novel test of the instrumental variable identifying assumptions for heterogeneous treatment effect models with conditioning covariates. We assume semiparametric depend…
Evidence Aggregation for Treatment Choice
Takuya Ishihara, Toru Kitagawa
Consider a planner who has limited knowledge of the policy's causal impact on a certain local population of interest due to a lack of data, but does have access to the publicized i…
Constrained Classification and Policy Learning
Toru Kitagawa, Shosei Sakaguchi, Aleksey Tetenov
Modern machine learning approaches to classification, including AdaBoost, support vector machines, and deep neural networks, utilize surrogate loss techniques to circumvent the com…
Identification and Inference Under Narrative Restrictions
Raffaella Giacomini, Toru Kitagawa, Matthew Read
We consider structural vector autoregressions subject to 'narrative restrictions', which are inequality restrictions on functions of the structural shocks in specific periods. Thes…
On global identification in structural vector autoregressions
Emanuele Bacchiocchi, Toru Kitagawa
In a landmark contribution to the structural vector autoregression (SVARs) literature, Rubio-Ramirez, Waggoner, and Zha (2010, `Structural Vector Autoregressions: Theory of Identif…