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Pesaran CD 검정: 패널 데이터의 횡단면 의존성 진단×브레우슈-고드프리 LM 검정 (Breusch-Godfrey LM Test for Serial Correlation)×
분야계량경제학계량경제학
계열Hypothesis testRegression model
기원 연도20211978
창시자M. Hashem PesaranTrevor Breusch & Leslie Godfrey
유형Non-parametric diagnostic testLagrange-multiplier test for serial correlation
원전Pesaran, M. H. (2021). General diagnostic tests for cross-sectional dependence in panels. Empirical Economics, 60(1), 13–50. DOI ↗Godfrey, L. G. (1978). Testing against general autoregressive and moving average error models when the regressors include lagged dependent variables. Econometrica, 46(6), 1293–1301. DOI ↗
별칭CD Test, Cross-Sectional Dependence Test, Pesaran General CD Test, Kesitsel Bağımlılık TestiBG test, LM test for autocorrelation, Breusch-Godfrey serial correlation test, Breusch-Godfrey otokorelasyon testi
관련33
요약The Pesaran CD test is a general diagnostic procedure for detecting cross-sectional dependence in panel data models. Developed by M. Hashem Pesaran (2021), it is applicable to both balanced and unbalanced panels with large N and T, and retains validity under heterogeneous slope coefficients. The test is widely adopted in empirical economics, finance, and political economy as a prerequisite check before selecting appropriate estimators or unit-root tests for panel datasets.The Breusch-Godfrey test is a Lagrange-multiplier test for serial correlation in regression residuals, developed independently by Trevor Breusch (1978) and Leslie Godfrey (1978). Unlike the Durbin-Watson test, it detects autocorrelation up to any chosen order p, remains valid when the model includes lagged dependent variables, and produces a definite chi-square p-value rather than an inconclusive region — making it the modern standard for autocorrelation testing.
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