Daniela Gumprecht (Department of Statistics and Decision Support Systems, University of Vienna) Nicole Gumprecht (Department of Statistics and Decision Support Systems, University of Vienna) Werner G. Müller () (Department of Statistics; Vienna University of Economics & B.A.)
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Spillover phenomena are usually statistically estimated on the basis of regional and temporal panel data. In this paper we review and investigate exploratory and confirmatory statistical panel data techniques. We illustrate the methods by calculations in the stetting of the well known Research and Development Spillover study by Coe and Helpman (1995). It will be demonstrated that alternative estimation techniques that are well compatible with the data can lead to opposite conclusions.
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Paper provided by Vienna University of Economics and B.A. Research Group: Growth and Employment in Europe: Sustainability and Competitiveness in its series Working Papers with number
geewp30.
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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