Võrdle meetodeid

	Dünaamilised instrumentaalmuutujad (Dünaamiline paneel IV / Arellano-Bond)	Instrumentaalmuutujate (IV) meetod kausaalse järelduse tegemiseks
Valdkond	Põhjuslik järeldamine	Terviseökonoomika
Perekond	Regression model	Process / pipeline
Tekkeaasta	1991	1990s (modern applications)
Looja	Arellano & Bond (1991); extended by Blundell & Bond (1998)	Angrist & Pischke (applied econometrics); rooted in econometric theory
Tüüp	Dynamic panel causal estimation	Method
Algallikas	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.	Angrist, J. D., & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton: Princeton University Press.
Rööpnimetused	Dynamic IV, Dynamic Panel IV, Arellano-Bond GMM, System GMM	IV, two-stage least squares, TSLS, causal estimation
Seotud	5	3
Kokkuvõte	Dynamic Instrumental Variables estimation addresses endogeneity in panel models where the outcome depends on its own past values. By first-differencing to remove unit fixed effects and then using lagged levels as instruments for the differenced lagged outcome, it produces consistent causal estimates even when standard OLS or fixed-effects are biased by dynamic feedback.	Instrumental variables (IV) is an econometric method to estimate causal effects when treatment or exposure is not randomly assigned and confounding is severe or unmeasured. IV relies on a third variable (instrument) that influences treatment but does not directly affect the outcome, allowing researchers to isolate the causal effect from the noise of confounding. Developed extensively in econometrics (Angrist & Pischke, 1990s–2000s), IV methods are increasingly used in health economics and health services research to leverage natural experiments and policy changes.