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20222025
most citedConsistent Bayesian Information Criterion Based on a Mixture Prior for Possibly High-Dimensional Multivariate Linear Regression Models

4 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

econ.EM2025

Untestability of Average Slutsky Symmetry

Haruki Kono

Slutsky symmetry and negative semidefiniteness are necessary and sufficient conditions for the rationality of demand functions. While the empirical implications of Slutsky negative…

math.AP2024

Well-Posedness of Second-Order Uniformly Elliptic PDEs with Neumann Conditions

Haruki Kono

Extending the results of Nardi (2015), this note establishes an existence and uniqueness result for second-order uniformly elliptic PDEs in divergence form with Neumann boundary co…

econ.EM2024

Identification and Estimation in a Nonseparable Instrumental Variable Model with Multivariate Outcomes

Haruki Kono

This paper proposes a novel nonseparable instrumental variable model to address endogeneity in settings with multivariate outcomes. While traditional approaches typically estimate…

econ.EM2023

Semiparametric Efficiency Gains From Parametric Restrictions on Propensity Scores

Haruki Kono

We explore how much knowing a parametric restriction on propensity scores improves semiparametric efficiency bounds in the potential outcome framework. For stratified propensity sc…

math.CO2023

On Smithson's fixed point theorem for order preserving multifunctions

Haruki Kono, Mark Voorneveld

Fixed point theorems are ubiquitous in economic research. Many studies cite Smithson (1971) ``Fixed points of order preserving multifunctions,'' yet the original proof contains err…

econ.TH2023

Random Utility with Unobservable Alternatives

Haruki Kono, Kota Saito, Alec Sandroni

The random utility model, a cornerstone in economics, is axiomatized by Falmagne (1978) and McFadden and Richter (1990) with the assumption that if a menu is observable, the choice…

math.ST2022★ 4 cited

Consistent Bayesian Information Criterion Based on a Mixture Prior for Possibly High-Dimensional Multivariate Linear Regression Models

Haruki Kono, Tatsuya Kubokawa

In the problem of selecting variables in a multivariate linear regression model, we derive new Bayesian information criteria based on a prior mixing a smooth distribution and a del…