Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/24577
Authors: 
Kaiser, Ulrich
Year of Publication: 
1999
Series/Report no.: 
ZEW Discussion Papers 99-62
Abstract: 
In this paper it is tested which of the various alternative approaches for constructing knowledge spillover pools suggested in existing literature measures the extent to which a firm can costlessly receive external knowlegde best. Since knowledge spillovers are unmeasurable, a 'goodness of fit' measure is constructed using innovation survey data. It turns out that measures of the uncentered correlation of firm characteristics seem to fit actual knowledge spillovers best. Direct measures constructed from innovation survey data appear to work reasonably well while measures of the Euclidean technological distance and of the geographical distance lead to counterintuitive results. Empirical evidence is provided for both the German service sector and the manufacturing sector.
Subjects: 
knowledge spillovers
technological distance
geographical distance
CIS-II data
Kernel density estimation
ordered probit estimation
JEL: 
C35
C12
O31
Document Type: 
Working Paper

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