| Project/Area Number |
11630028
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Economic statistics
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| Research Institution | Hiroshima University |
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Principal Investigator |
MAEKAWA Koichi Hiroshima Univ., Economics, Professor, 経済学部, 教授 (20033748)
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| Co-Investigator(Kenkyū-buntansha) |
TEE Kian Heng Hiroshima Univ., Economics, Lecturer, 経済学部, 講師 (70325140)
PINTO Dos Santos Hiroshima Univ., Economics, Associate Professor, 経済学部, 助教授 (20274045)
ODAKI Mitsuhiro Hiroshima Univ., Economics, Professor, 経済学部, 助教授 (00194564)
KURATA Hiroshi Tokyo Univ., Graduate School Of Arts And Sciences, Associate Professor, 大学院・総合文化研究科, 助教授 (50284237)
HISAMATSU Hiroyuki Kagawa Univ., Economics, Professor, 経済学部, 教授 (90228726)
福地 純一郎 広島大学, 経済学部, 助教授 (00274043)
北岡 孝義 広島大学, 経済学部, 教授 (60116572)
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| Project Period (FY) |
1999 – 2001
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| Project Status |
Completed (Fiscal Year 2001)
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| Budget Amount *help |
¥3,600,000 (Direct Cost: ¥3,600,000)
Fiscal Year 2001: ¥1,100,000 (Direct Cost: ¥1,100,000)
Fiscal Year 2000: ¥1,200,000 (Direct Cost: ¥1,200,000)
Fiscal Year 1999: ¥1,300,000 (Direct Cost: ¥1,300,000)
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| Keywords | SUR model / unit root / cointegration / structural change / macro economic time series / time series of stock data / simulation analysis / nonlinear regression / 非線形回帰モデル / 非定常時系列 / 因果性 / 漸近分布 / SURモデル |
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| Research Abstract |
This project concerns with theory and application of non-stationary and non-linear time series regression models. Our studies can be grouped in the three categories : Category (1) deals with both non-stationary and non-linearlity, (2) deals with non-stationary, (3) theory of regression which is the base of studies of (1) and (2). We obtained the following results.
A) Concerning (1) Maekawa and Tee proposed a method of estimating a point of time of structural change in a time series when a time series has a unit root. Our result was presented at the annual meeting of Japan statistical association and MODSIM2001 held in Canberra, Australia and conferences. Our method is found to be better than other existing methods in the literature on this problem.
B) Concerning (2) Maekawa and Hisamatsu studied SUR model with non-stationary regressors by asymptotic theory and Monte Carlo simulation and found that Zellner's two estimators were superior to OLS estimator as in the stationary case. This result is published in Handbook of applied econometrics and statistical inference (2002, Marcel Dekker, Inc.). Maekawa and Zongle He showed that usual F test for Granger's causality often detected spurious causality between two independent and irrelevant time series one of or both of which is/or random walk(s). This results was published in Economics letters, 2001.
(C) Concerning (3) Kurata studied statistical properties of the GLS estimator in SUR model and a general linear regression model. Fukuchi studied subsampling method in time series regression.
In addition we invited Professor J. Park at Seoul University to hear the recent development on non-stationary and non-linear time series. Maekawa visited the National University of Singapore to meet Professor Y. Tse to discuss non-stationary and non-linear tome series regression models in financial time series.
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