Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Ryo Okui"'
Publikováno v:
Journal of Econometrics, 233(1), 45-65. Elsevier
This paper considers linear panel data models with a grouped pattern of heterogeneity when the latent group membership structure and/or the values of slope coefficients change at a break point. We propose a least squares approach to jointly estimate
Publikováno v:
SSRN Electronic Journal.
Autor:
Ryo Okui
Publikováno v:
The Japanese Economic Review. 72:169-184
This paper proposes an econometric method to construct confidence sets for rankings by considering the situations in which data on a comparison between each pair of alternatives are available. The key idea is that if an alternative, say A, is ranked
Autor:
Ryo Okui, Yanchun Jin
Publikováno v:
Journal of Applied Econometrics. 35:879-892
We propose a moment inequality approach to test for the presence of overconfidence using data from ranking experiments where subjects rank themselves relative to other experimental participants. Although a ranking experiment is a typical way to colle
Autor:
Ryo Okui
Publikováno v:
Handbook of Research Methods and Applications in Empirical Microeconomics ISBN: 9781788976480
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::011e69c0fe603d014092d21907351d9f
https://doi.org/10.4337/9781788976480.00007
https://doi.org/10.4337/9781788976480.00007
Publikováno v:
Journal of Econometrics. 204:147-158
In this paper we consider the estimation of a dynamic panel autoregressive (AR) process of possibly infinite order in the presence of individual effects. We employ double asymptotics under which both the cross-sectional sample size and the length of
Autor:
Andreas Dzemski, Ryo Okui
Publikováno v:
Economics Letters. 203:109844
We study kmeans clustering estimation of panel data models with a latent group structure and $N$ units and $T$ time periods under long panel asymptotics. We show that the group-specific coefficients can be estimated at the parametric root $NT$ rate e
Autor:
Takanori Ida, Ryo Okui
Publikováno v:
SSRN Electronic Journal.
In this study, we examine how information provision affects the degree of overconfidence using an online experiment. The 4,210 experimental participants engaged in stock market prediction exercises were asked to evaluate their absolute and relative p
Publikováno v:
SSRN Electronic Journal.
This online appendix includes supplemental materials for "Network-motivated Lending Decisions: A Rationale for Forbearance Lending'' by Ogura, Okui, and Saito. Online Appendix 1 contains the proofs of the propositions. Online Appendix 2 presents a nu
Publikováno v:
Economics Letters. 187:108916
We show that Mallows model averaging estimator proposed by Hansen (2007) can be written as a least squares estimation with a weighted L 1 penalty and additional constraints. By exploiting this representation, we demonstrate that the weight vector obt