Nonstationary panel data analysis: an overview of some recent developments
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Publication:4512504
DOI10.1080/07474930008800473zbMath0953.62126OpenAlexW1965707663MaRDI QIDQ4512504
Peter C. B. Phillips, Hyungsik Roger Moon
Publication date: 5 November 2000
Published in: Econometric Reviews (Search for Journal in Brave)
Full work available at URL: https://cowles.yale.edu/sites/default/files/files/pub/d12/d1221.pdf
cointegrationlinear regressionmulti-index asymptoticsdynamic panel regressionnonstationary panel datalong-run average relationships
Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)
Related Items (18)
Unit root tests for panel data with AR(1) errors and small T ⋮ Identification of panel data models with endogenous censoring ⋮ Double unit root tests for cross-sectionally dependent panel data ⋮ ESTIMATION OF THE LONG-RUN AVERAGE RELATIONSHIP IN NONSTATIONARY PANEL TIME SERIES ⋮ On the asymptotic \(t\)-test for large nonstationary panel models ⋮ A multilevel model with autoregressive components for the analysis of tribal art prices ⋮ Efficient minimum distance estimator for quantile regression fixed effects panel data ⋮ PANEL COINTEGRATION: ASYMPTOTIC AND FINITE SAMPLE PROPERTIES OF POOLED TIME SERIES TESTS WITH AN APPLICATION TO THE PPP HYPOTHESIS ⋮ Unobserved heterogeneity in panel time series models ⋮ Taking a new contour: a novel approach to panel unit root tests ⋮ Testing for spurious regression in a panel data model with the individual number and time length growing ⋮ Residual based tests for cointegration in dependent panels ⋮ ESTIMATION AND INFERENCE IN SHORT PANEL VECTOR AUTOREGRESSIONS WITH UNIT ROOTS AND COINTEGRATION ⋮ SEPARATION, WEAK EXOGENEITY, AND P-T DECOMPOSITION IN COINTEGRATED VAR SYSTEMS WITH COMMON FEATURES ⋮ A new framework for distance and kernel-based metrics in high dimensions ⋮ Parameter estimation and inference with spatial lags and cointegration ⋮ Testing for shifts in a time trend panel data model with serially correlated error component disturbances ⋮ PETER C.B. PHILLIPS’S CONTRIBUTIONS TO PANEL DATA METHODS
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