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Testing for Common Cyclical Features in Nonstationary Panel Data Models Author info | Abstract | Publisher info | Download info | Related research | Statistics Hecq, Alain
Palm, Franz C.
Urbain, Jean-Pierre
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In this paper we extend the concept of serial correlation common features to panel data models. This analysis is motivated both by the need to develop a methodology to systematically stu dy and test for common structures and comovements in panel data with autocorrelation present and by an increase in efficiency coming from pooling procedures. We propose sequential testing procedures and study their properties in a small scale Monte Carlo analysis. Finally, we apply the framework to the well known permanent income hypothesis for 22 OECD countries, 1950-1992.
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Paper provided by CESifo Group Munich in its series CESifo Working Paper Series with number
CESifo Working Paper No. 248.
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Date of creation: 2000Date of revision:
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Keywords: Panel data ; serial correlation common features ; permanent income ; Other versions of this item:
Find related papers by JEL classification: C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Alain Hecq & Franz Palm & Jean-Pierre Urbain, 2002.
"Separation, Weak Exogeneity, And P-T Decomposition In Cointegrated Var Systems With Common Features ,"
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04-2006, Economics Section, The Graduate Institute of International Studies, revised Apr 2006.
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