ScholarGate
어시스턴트

방법 비교

선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.

강건 하우즈만 모형 적합성 검정 (Robust Hausman Specification Test)×순열 (무작위화) 검정×
분야통계학통계학
계열Regression modelRegression model
기원 연도19782005
창시자Hausman (1978); robust variant after Arellano (1993)Good (2005); Edgington & Onghena (2007); resampling tradition
유형Panel model specification testNonparametric resampling test
원전Hausman, J. A. (1978). Specification Tests in Econometrics. Econometrica, 46(6), 1251-1271. DOI ↗Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
별칭robust hausman specification test, cluster-robust hausman test, Robust Hausman Testirandomization test, exact permutation test, re-randomization test, Permütasyon Testi
관련55
요약The Robust Hausman Test is a heteroscedasticity- and autocorrelation-robust version of the Hausman specification test, used to choose between fixed-effects and random-effects estimators in panel-data models. It builds on Hausman's 1978 test and the robust treatment of correlated effects developed by Arellano (1993).The permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value.
ScholarGate데이터셋
  1. v1
  2. 2 출처
  3. PUBLISHED
  1. v1
  2. 2 출처
  3. PUBLISHED

검색으로 이동 슬라이드 다운로드

ScholarGate방법 비교: Robust Hausman Test · Permutation Test. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare