ALTERNATIVE ESTIMATORS AND UNIT ROOT TESTS FOR THE AUTOREGRESSIVE PROCESS

Journal of Time Series Analysis - Tập 16 Số 4 - Trang 415-429 - 1995
Heon Jin Park1, Wayne A. Fuller1
1SAS Institute and Iowa State University

Tóm tắt

Abstract. We compare several estimators for the second‐order autoregressive process and compare the associated tests for a unit root. Monte Carlo results are reported for the ordinary least squares estimator, the simple symmetric least squares estimator and the weighted symmetric least squares estimator. The weighted symmetric least squares estimator of the autoregressive parameters generally has smaller mean square error than that of the ordinary least squares estimator, particularly when one root is close to one in absolute value. For the second‐order model with known zero intercept, the one‐sided ordinary least squares test for a unit root is more powerful than the symmetric tests. For the model with an estimated intercept, the one‐sided weighted symmetric least squares test is the most powerful test.

Từ khóa


Tài liệu tham khảo

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Thông tin
Thông tin xuất bản

Journal of Time Series Analysis

Tập 16 Số 4

415-429

Thông tin tác giả