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A Maximum Entropy Approach to the Indenitication of Productive Technology Spillovers

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  • Fernández Vázquez, Esteban
  • Los, Bart

Abstract

R&D activities by one industry often have positive effects on the productivity performance of other industries, as a consequence of technology spillovers. Econometric problems (such as multicollinearity), however, have prevented researchers from identifying the industries that have been responsible for the most important technology spillovers. This paper proposes an alternative estimation approach (Generalized Maximum Entropy econometrics), which can cope with datasets characterized by a high degree of multicollinearity. For a number of industries, rates of return to R&D expenditures by other industries are estimated on a bilateral basis. Furthermore, productivity effects of spillovers from the foreign counterparts of the industry are estimated. The analysis is done for eighteen industries in twelve OECD countries in the period 1976-1999.

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Paper provided by The Research Institute of the Finnish Economy in its series Discussion Papers with number 1106.

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Length: 21 pages
Date of creation: 2007
Date of revision:
Handle: RePEc:rif:dpaper:1106

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  16. Amos Golan & Enrico Moretti & Jeffrey M. Perloff, 1999. "An Information-Based Sample-Selection Estimation Model of Agricultural Workers' Choice between Piece-Rate and Hourly Work," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(3), pages 735-741.
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  18. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers 1488, Iowa State University, Department of Economics.
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