A nonparametric method to estimate time varying coefficients under seasonal constraints

Journal of Nonparametric Statistics

Volumn 12, Issue 6, 2000, Pages 779-806

  Orbe, Susan ^a   Ferreira, Eva ^a   Rodríguez Póo, Juan ^b  

^a UNIVERSITY OF THE BASQUE COUNTRY UPV EHU   (Spain)

^b UNIVERSITY OF CANTABRIA   (Spain)

Author keywords

Bandwidth selection; Kernel estimators; Nonparametric regression; Seasonality; Time varying coefficients

Indexed keywords

EID: 0001594865     PISSN: 10485252     EISSN: None     Source Type: Journal    
DOI: 10.1080/10485250008832834     Document Type: Article

References (19)

1. Aoki, M. (1987). State Space Modelling of Time Series, 73, 264-273.
2. Billingsley, P. (1986). Probability and Measure, Nueva York: John Wiley & Sons.
3. Chow, G. C. (1984). Random and Changing Coefficients Models in Handbook of Econometrics (Griliches, Z. and Intriligator, M. D.). New York: North Holland, 2, 1213-1245.
4. Davidson, J. (1994). Stochastic Limit Theory, Nueva York: Oxford University Press.
5. Eubank, R. L. (1988). Spline Smoothing and Nonparametric Regression, Nueva York: Marcel Dekker.
6. Good, I. J. and Gaskins, R. A. (1971). Nonparametric Roughness Penalties for Probability Densities, Biometrika, 58, 255-277.
7. Härdle, W. (1990). Applied Nonparametric Regression, Cambridge: Cambridge University Press.
8. Harrison, J. and West, M. (1989). Bayesian Forecasting and Dynamic Models, New York: Springer.
9. Hart, J. and Vieu, P. (1990). Data-Driven Bandwidth Choice for Density Estimation based on Dependent Data, Annals of Statistics, 18, 873-890.
10. Lutkepohl, H. and Herwatz, H. (1996). Data-Driven Bandwidth Choice for Density Estimation based on Dependent Data, Journal of Econometrics, 70, 261-290.
11. Marron, J. S. and Härdle, W. (1986). Random Approximations of some Measures of Accuracy in Nonparametric Curve Estimation, Journal of Multivariate Analysis, 20, 91-113.
12. McCallum, B. (1985). On Consequences and Criticism Monetary Targeting, Journal of Money, Credit and Banking, 14, 553-569.
13. Rice, J. and Rosenblatt, M. (1981). Integrated Mean Squared Error of a Smoothing Spline, Journal of Approximation Theory, 33, 353-369.
14. Robinson, P. M. (1989). Nonparametric Estimation of Time Varying Parameters in Statistics Analysis and Forecasting of Economic Structural Change (Hackl, P.), Berlin: Springer-Verlag, pp. 253-264.
15. Robinson, P. M. (1991). Time Varying Non Linear Regression in Statistics Analysis and Forecasting of Economic Structural Change (Hackl, P.), Berlin: Springer-Verlag, pp. 179-190.
16. Schoenberg, I. J. (1964). Spline Functions and the Problem of Graduation, Proc. Nat. Acad. of Sci. U.S.A., 52, 947-950.
17. Spall, J. (1989). Bayesian Analysis of Time Series and Dynamic Models, New York: Decker.
18. Vieu, P. (1991). Quadratic Errors for Nonparametric Estimates under Dependence, Journal of Multivariate Analysis, 39, 324-347.
19. White, H. and Domowitz, I. (1984). Nonlinear Regression with Dependent Observations, Econometrica, 52, 143-161.