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Model Autoregresif Panel (Panel AR)×Penganggar GMM Arellano-Bond×
BidangEkonometrikEkonometrik
KeluargaRegression modelRegression model
Tahun asal1980s-2000s1991
PengasasHsiao, C.; Arellano, M.Manuel Arellano and Stephen Bond
JenisAutoregressive time-series model for panel dataGMM estimator for dynamic panel data
Sumber perintisHsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717Arellano, 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 ↗
Aliaspanel autoregressive model, PAR model, AR model for panel data, panel AR(p)AB-GMM, Difference GMM, first-difference GMM, Arellano-Bond estimator
Berkaitan55
RingkasanThe Panel AR model extends the classical univariate autoregressive model to panel data, capturing how each unit's own past values predict its current value while controlling for unobserved individual heterogeneity through fixed or random effects. It is foundational for modelling dynamic persistence in micro or macro panel datasets.The Arellano-Bond GMM estimator is the standard approach for dynamic panel data models in which the lagged dependent variable appears as a regressor. By first-differencing to remove fixed effects and using deeper lags as instruments, it yields consistent estimates even when the error is serially correlated and regressors are endogenous.
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