Estimating cross-section common stochastic trends in nonstationary panel data
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Publication:2439092
DOI10.1016/j.jeconom.2003.10.022zbMath1282.91264OpenAlexW1989672512MaRDI QIDQ2439092
Publication date: 7 March 2014
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jeconom.2003.10.022
dynamic factorsprincipal componentsgeneralized dynamic factor modelscommon-stochastic trendsnonstationary panel data
Factor analysis and principal components; correspondence analysis (62H25) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Economic time series analysis (91B84)
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Cites Work
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- Asymptotic properties of general autoregressive models and strong consistency of least-squares estimates of their parameters
- Testing for a unit root in panels with dynamic factors
- Testing for Common Trends
- Estimating Regression Models of Finite but Unknown Order
- Let's Get Real: A Factor Analytical Approach to Disaggregated Business Cycle Dynamics
- Inferential Theory for Factor Models of Large Dimensions
- Determining the Number of Factors in Approximate Factor Models
- Asymptotic Theory for Principal Component Analysis
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