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구조적 단절 차분 GMM×동적 패널 데이터 모형×
분야계량경제학계량경제학
계열Regression modelRegression model
기원 연도1991 / 19981988–1991
창시자Arellano & Bond (Difference GMM); Bai & Perron (structural break testing)Arellano & Bond (1991); Holtz-Eakin, Newey & Rosen (1988)
유형Dynamic panel estimator with structural breaksDynamic regression / GMM estimation
원전Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2), 277–297. DOI ↗Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58(2), 277–297. DOI ↗
별칭Difference GMM with structural breaks, break-augmented Arellano-Bond GMM, dynamic panel GMM with regime shifts, structural change Difference GMMdynamic panel model, panel data model with lagged dependent variable, DPD model, Arellano-Bond model
관련65
요약Structural Break Difference GMM extends the Arellano-Bond first-difference GMM estimator to dynamic panel settings where the data-generating process shifts at one or more unknown breakpoints. By explicitly incorporating break indicators or allowing regime-specific parameters, the estimator avoids the biased coefficient and invalid moment conditions that arise when a structural change is ignored in a standard Difference GMM fit.The dynamic panel data model extends standard panel regression by including a lagged value of the outcome variable as a regressor, capturing persistence and adjustment dynamics. Because the lagged dependent variable is correlated with the unit-specific fixed effect, ordinary OLS or within estimators are biased; GMM-based methods using internal instruments are the standard remedy.
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