Citation profile for Naoya Sueishi

Naoya Sueishi : Citation Profile

Kobe University

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Citations

RESEARCH PRODUCTION:

Articles

Papers

RESEARCH ACTIVITY:

   9 years (2013 - 2022). See details.
   Cites by year: 1
   Journals where Naoya Sueishi has often published
   Relations with other researchers
   Recent citing documents: 3.    Total self citations: 1 (5.56 %)

MORE DETAILS IN:

EconPapers Author's homepage

ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/psu510
   Updated: 2024-11-04    RAS profile: 2023-02-13
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Relations with other researchers

Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Naoya Sueishi.

Is cited by:

Shin, Minchul (4)

Simoni, Anna (3)

Powell, James (2)

Lewbel, Arthur (2)

Liu, Chu-An (2)

Yin, Shou-Yung (1)

Muris, Chris (1)

Choi, Jin-Young (1)

Chen, Xiaohong (1)

Lavergne, Pascal (1)

zhou, zhuzhu (1)

Cites to:

Newey, Whitney (12)

Chen, Xiaohong (7)

Caner, Mehmet (5)

Shum, Matthew (4)

Imbens, Guido (4)

Bai, Jushan (4)

Hong, Han (4)

Ng, Serena (4)

Donald, Stephen (4)

Blundell, Richard (4)

Marcellino, Massimiliano (3)

Main data

Where Naoya Sueishi has published?

Journals with more than one article published	# docs
Economics Letters	3
Econometrics	2
The Japanese Economic Review	2

Recent works citing Naoya Sueishi (2024 and 2023)

Year	Title of citing document
2024	Predicting tourism recovery from COVID-19: A time-varying perspective. (2024). Song, Haiyan ; Liu, Han ; Wen, Long. In: Economic Modelling. RePEc:eee:ecmode:v:135:y:2024:i:c:s0264999324000622. Full description at Econpapers \|\| Download paper
2023	Over-identified Doubly Robust identification and estimation. (2023). Lewbel, Arthur ; Zhou, Zhuzhu ; Choi, Jin Young. In: Journal of Econometrics. RePEc:eee:econom:v:235:y:2023:i:1:p:25-42. Full description at Econpapers \|\| Download paper
2023	Semiparametric Bayesian doubly robust causal estimation. (2022). McCoy, Emma J ; Graham, Daniel J ; Luo, YU. In: LSE Research Online Documents on Economics. RePEc:ehl:lserod:117944. Full description at Econpapers \|\| Download paper

Works by Naoya Sueishi:

Year	Title	Type	Cited
2022	A Misuse of Specification Tests In: Papers. [Full Text][Citation analysis]	paper	0
2017	Focused Information Criterion for Series Estimation in Partially Linear Models In: The Japanese Economic Review. [Full Text][Citation analysis]	article	0
2014	Focused Information Criterion for Series Estimation in Partially Linear Models.(2014) In: Discussion papers. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 0	paper
2017	Focused Information Criterion for Series Estimation in Partially Linear Models.(2017) In: The Japanese Economic Review. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 0	article
2017	A NOTE ON GENERALIZED EMPIRICAL LIKELIHOOD ESTIMATION OF SEMIPARAMETRIC CONDITIONAL MOMENT RESTRICTION MODELS In: Econometric Theory. [Full Text][Citation analysis]	article	3
2013	Identification problem of the exponential tilting estimator under misspecification In: Economics Letters. [Full Text][Citation analysis]	article	6
2016	A simple derivation of the efficiency bound for conditional moment restriction models In: Economics Letters. [Full Text][Citation analysis]	article	1
2015	A Simple Derivation of the Efficiency Bound for Conditional Moment Restriction Models.(2015) In: Discussion Papers. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 1	paper
2019	Regularization parameter selection for penalized empirical likelihood estimator In: Economics Letters. [Full Text][Citation analysis]	article	0
2013	Generalized Empirical Likelihood-Based Focused Information Criterion and Model Averaging In: Econometrics. [Full Text][Citation analysis]	article	5
2019	On the Convergence Rate of the SCAD-Penalized Empirical Likelihood Estimator In: Econometrics. [Full Text][Citation analysis]	article	0
2018	Are pension types associated with happiness in Japanese older people?: JAGES cross-sectional study In: PLOS ONE. [Full Text][Citation analysis]	article	0
2022	Forecasting the Japanese macroeconomy using high-dimensional data In: The Japanese Economic Review. [Full Text][Citation analysis]	article	2