2012 Fiscal Year Final Research Report
Research on quantile regression for panel data
Project/Area Number |
22730179
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Single-year Grants |
Research Field |
Economic statistics
|
Research Institution | Hiroshima University |
Principal Investigator |
KATO Kengo 広島大学, 大学院・理学研究科, 助教 (50549780)
|
Project Period (FY) |
2010 – 2012
|
Keywords | 分位点回帰 / 計量経済学 |
Research Abstract |
In this project, I analyzed the fixed effects quantile regression model and established the asymptotic properties for two estimators of the coefficient vector , namely, the estimator minimizing the check loss function used conventionally in the quantile regression literature and the one minimizing the smoothed version of the check function. Moreover, I considered the situation where the dependent variable is s calar and the covariate is a random function, focused on the functional linear quantile regression model, and established the sharp asymptotic properties for the PCA-based estimator on the slope function and related parameters.
|
Research Products
(15 results)