Methoden vergelijken

	Structurele Breuk Random Effect Model	Zivot-Andrews Structuurdoorbraaktest
Vakgebied	Econometrie	Econometrie
Familie	Regression model	Regression model
Jaar van ontstaan	1998–2000s	1992
Grondlegger	Bai & Perron (break detection); Baltagi (panel RE framework)	Eric Zivot and Donald W. K. Andrews
Type	Panel regression with regime shifts	Unit root test with endogenous structural break
Oorspronkelijke bron	Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47–78.	Zivot, E., & Andrews, D. W. K. (1992). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics, 10(3), 251–270.
Aliassen	RE model with structural breaks, break-adjusted random effects, random effects break model, panel RE with regime shifts	ZA test, Zivot-Andrews unit root test, endogenous structural break unit root test, ZA structural break test
Verwant	5	6
Samenvatting	The structural break random effects model extends standard panel RE estimation by allowing one or more breakpoints at which slope coefficients or error variances shift across time. It combines structural change detection (e.g., Bai-Perron) with the GLS-based random effects estimator, producing regime-specific parameter estimates while retaining the efficiency gains of pooling individual-level variation as random draws from a common distribution.	The Zivot-Andrews (ZA) test is a unit root test that endogenously identifies the most likely location of a single structural break in a time series. Unlike the standard ADF test, it does not require the researcher to pre-specify when the break occurred, making it robust to data-driven regime shifts such as policy changes, financial crises, or major economic events.