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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2004.6
- 수록면
- 485 - 493 (9page)
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This paper considers the test of money and income causality. Jeong (1991, 2003) developed a nonparametric causality test based on the kernel estimation method. We apply the nonparametric test to USA data of money and income. We also compare the test results with ones of the conventional parametric test.
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참고문헌 (9)
참고문헌 신청
[학술지(정기간행물)] - / 1988199-211 / Some recent development in a concept of causality Journal of Econometrics
[학술지(정기간행물)] - / 1982 / Large sample properties of generalized method of moments estimators eco (metrica) : 1029 ~ 1054
[학술지(정기간행물)] - / 1991 / Model misspecification tests of regression functions University of Wisconsin at Madison
[학술지(정기간행물)] - / 1996 / Kernel estimators of 2 pi times the spectral density at frequency zero of nonparametric regression errors 2 : 125 ~ 135
[학술지(정기간행물)] - / 1997 / Prewhitened kernel estimators of 2 pi times the spectral density at frequency zero of nonparametric regression errors 3 : 107 ~ 122
[학술지(정기간행물)] - / 1982 / Large sample properties of generalized method of moments estimators eco (metrica) : 1029 ~ 1054
[학술지(정기간행물)] - / 1991 / Model misspecification tests of regression functions University of Wisconsin at Madison
[학술지(정기간행물)] - / 1996 / Kernel estimators of 2 pi times the spectral density at frequency zero of nonparametric regression errors 2 : 125 ~ 135
[학술지(정기간행물)] - / 1997 / Prewhitened kernel estimators of 2 pi times the spectral density at frequency zero of nonparametric regression errors 3 : 107 ~ 122
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UCI(KEPA) : I410-ECN-0101-2018-041-001392252