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Dinamiskās instrumentālās mainīgās (Dinamiskais panelis IV / Arellano-Bond)×Diferenču starpībām (Diff-in-Diff)×
NozareCēloņsakarību secināšanaEkonometrija
SaimeRegression modelRegression model
Izcelsmes gads19911994
AutorsArellano & Bond (1991); extended by Blundell & Bond (1998)Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
TipsDynamic panel causal estimationCausal inference / panel regression
PirmavotsArellano, 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 ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
Citi nosaukumiDynamic IV, Dynamic Panel IV, Arellano-Bond GMM, System GMMdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Saistītās55
KopsavilkumsDynamic 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.Difference-in-Differences is a causal-inference method that estimates the effect of an intervention by comparing how a treatment group and a control group change over time. Made famous by Card and Krueger's 1994 minimum-wage study and developed in Angrist and Pischke's Mostly Harmless Econometrics, it isolates the treatment effect as the difference between the two groups' before-after changes.
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ScholarGateSalīdzināt metodes: Dynamic Instrumental Variables · Difference-in-Differences. Izgūts 2026-06-15 no https://scholargate.app/lv/compare