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Analisis Data Panel Teguh×Analisis Data Panel×
BidangEkonometrikEkonometrik
KeluargaRegression modelRegression model
Tahun asal19871966–1978
PengasasArellano (1987); White (1980) heteroscedasticity-consistent frameworkBalestra & Nerlove (1966); Mundlak (1978); Hausman (1978)
JenisRobust estimation / inference correctionPanel regression framework
Sumber perintisArellano, M. (1987). Computing robust standard errors for within-groups estimators. Oxford Bulletin of Economics and Statistics, 49(4), 431–434. link ↗Baltagi, B. H. (2021). Econometric Analysis of Panel Data (6th ed.). Springer. ISBN: 978-3030539528
Aliasrobust panel regression, cluster-robust panel estimation, panel regression with robust standard errors, HC/CR panel estimatorlongitudinal data analysis, pooled cross-sectional time-series analysis, panel regression, data panel analysis
Berkaitan65
RingkasanRobust panel data analysis applies standard panel estimators — fixed effects, random effects, or pooled OLS — while replacing conventional standard errors with cluster-robust or heteroscedasticity-consistent (HC) variants. The point estimates remain unchanged; what changes is the variance-covariance matrix used for inference, making t-tests and F-tests valid even when errors are heteroscedastic or correlated within cross-sectional units over time.Panel data analysis models data that track multiple units — countries, firms, individuals — over time, enabling researchers to control for unobserved unit-level heterogeneity that would otherwise bias cross-sectional or time-series estimates. The two core specifications are fixed effects and random effects, selected via the Hausman test.
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ScholarGateBandingkan kaedah: Robust Panel Data Analysis · Panel Data Analysis. Dicapai 2026-06-15 daripada https://scholargate.app/ms/compare