Shuichi Nagata

Personal Details

First Name:	Shuichi
Middle Name:
Last Name:	Nagata
Suffix:
RePEc Short-ID:	pna367
	[This author has chosen not to make the email address public]
	https://sites.google.com/site/nagatasweb/

Affiliation

School of Business Administration
Kwansei Gakuin University

Hyogo, Japan
http://www.kwansei.ac.jp/s_ba/
RePEc:edi:sbkgujp (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. Guowei Cui & Kazuhiko Hayakawa & Shuichi Nagata & Takashi Yamagata, 2018. "A robust approach to heteroskedasticity, error serial correlation and slope heterogeneity for large linear panel data models with interactive effects," ISER Discussion Paper 1037r, Institute of Social and Economic Research, Osaka University, revised Jun 2019.

   Cited by:

   1. George Kapetanios & Laura Serlenga & Yongcheol Shin, 2023. "Testing for correlation between the regressors and factor loadings in heterogeneous panels with interactive effects," Empirical Economics, Springer, vol. 64(6), pages 2611-2659, June.
   2. Milda Norkute & Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2021. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," Bank of Lithuania Working Paper Series 90, Bank of Lithuania.
      • Cui, Guowei & Norkute, Milda & Sarafidis, Vasilis & Yamagata, Takashi, 2020. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," MPRA Paper 102827, University Library of Munich, Germany.
      • Guowei Cui & Milda NorkutÄ— & Vasilis Sarafidis & Takashi Yamagata, 2022. "Two-stage instrumental variable estimation of linear panel data models with interactive effects [Eigenvalue ratio test for the number of factors]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 340-361.
      • Guowei Cui & Milda Norkuté & Vasilis Sarafidis & Takashi Yamagata, 2020. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," ISER Discussion Paper 1101, Institute of Social and Economic Research, Osaka University.
   3. Chen, Jia & Shin, Yongcheol & Zheng, Chaowen, 2022. "Estimation and inference in heterogeneous spatial panels with a multifactor error structure," Journal of Econometrics, Elsevier, vol. 229(1), pages 55-79.

Articles

1. Hayakawa, Kazuhiko & Nagata, Shuichi, 2016. "On the behaviour of the GMM estimator in persistent dynamic panel data models with unrestricted initial conditions," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 265-303.

   Cited by:

   1. Hayot Berk Saydaliev & Lee Chin, 2023. "The necessity of social infrastructure for enhancing educational attainment: evidence from high remittance recipient LMICs," Economic Change and Restructuring, Springer, vol. 56(3), pages 1823-1847, June.
   2. Cave, Joshua & Chaudhuri, Kausik & Kumbhakar, Subal C., 2023. "Dynamic firm performance and estimator choice: A comparison of dynamic panel data estimators," European Journal of Operational Research, Elsevier, vol. 307(1), pages 447-467.
   3. Ryan H. Murphy & Colin O’Reilly, 2019. "Applying panel vector autoregression to institutions, human capital, and output," Empirical Economics, Springer, vol. 57(5), pages 1633-1652, November.
   4. Alexander Chudik & M. Hashem Pesaran, 2017. "An Augmented Anderson-Hsiao Estimator for Dynamic Short-T Panels," Globalization Institute Working Papers 327, Federal Reserve Bank of Dallas, revised 27 Mar 2021.
   5. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
   6. Robert F. Phillips, 2020. "Quantifying the Advantages of Forward Orthogonal Deviations for Long Time Series," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 653-672, February.
   7. Alexander Chudik & M. Hashem Pesaran, 2017. "A Bias-Corrected Method of Moments Approach to Estimation of Dynamic Short-T Panels," CESifo Working Paper Series 6688, CESifo.
   8. Robert F. Phillips, 2018. "Quantifying the Computational Advantage of Forward Orthogonal Deviations," Papers 1808.05995, arXiv.org.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-ECM: Econometrics (1) 2019-07-08

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Shuichi Nagata should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.