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Forecasting with Panel Data Author info | Abstract | Publisher info | Download info | Related research | Statistics Badi H. Baltagi () (Center for Policy Research, Maxwell School, Syracuse University, Syracuse, NY 13244-1020 )
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This paper gives a brief survey of forecastiang with panel data. Starting with a simple error component regression model and surveying best linear unbiased prediction under various assumptions of the disturbance term. This includes various ARMA models as well as spatial autoregressive models. The paper also surveys how these forecasts have been used in panel data applications, running horse races between heterogeneous and homogeneous panel data models using out of sample forecasts.
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Paper provided by Center for Policy Research, Maxwell School, Syracuse University in its series Center for Policy Research Working Papers with number
91.
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Length: 37 pages
Date of creation: Feb 2007Date of revision:
Handle: RePEc:max:cprwps:91Contact details of provider: Postal: 426 Eggers Hall, Syracuse, New York USA 13244-1020 Phone: (315) 443-3114 Fax: (315) 443-1081 Email: Web page: http://www-cpr.maxwell.syr.edu More information through EDIRC
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Keywords: forecasting ; BLUP ; panel data ; spatial dependence ; serial correlation ; heterogeneous panels. ; Other versions of this item:
Find related papers by JEL classification: C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data
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