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Activity Number:
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38
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Type:
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Contributed
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Date/Time:
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Sunday, August 2, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Business and Economic Statistics Section
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| Abstract - #305201 |
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Title:
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Italian Firms' Location in Technological Industrial Districts: A Robust Analysis
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Author(s):
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Luigi Biggeri*+ and Matilde Bini and Margherita Velucchi
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Companies:
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Italian National Statistical Institute and University of Florence and Università di Firenze
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Address:
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Via Cesare Balbo, 16 , Rome, 00184, Italy
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Keywords:
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Firms' performance ; Forward search ; Glm ; Industrial districts ; Robust models
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Abstract:
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Recent debates in economic-statistical research concern the relationship between firms' performance and their capabilities to develop new technologies and products. Technological clusters literature argues that economic performance and firms' level of technological intensity strongly affect firms' geographical location. The paper aims at generalizing this approach and developing a model to identify the relationship between the firm's technology level and performance and firm's geographical location. We also use an outlier detection method to identify units that influence the estimates stability. This analysis is implemented using a regression model with a diagnostic robust approach based on forward search. The method we use reveals how fitted regression model depends on individual units and the results show how the firms' geographical agglomeration influenced by their technology level.
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