Abstract
Recent debates in economic-statistical research concern the relationship between firms’ performance and their capabilities to develop new technologies and products. Several studies argue that economic performance and geographical proximity strongly affect firms’ level of technology. The aim of the paper is twofold. Firstly, we propose to generalize this approach and to develop a model to identify the relationship between the firm’s technology level and some firm’s characteristics. Secondly, we use an outlier detection method to identify units that affect the analysis results and the estimates stability. This analysis is implemented using a generalized regression model with a diagnostic robust approach based on forward search. The method we use reveals how the fitted regression model depends on individual observations and the results show how the firms’ technology level is influenced by their geographical proximity.
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Acknowledgments
We are grateful to Luigi Biggeri and Marco Riani for their comments and suggestions that strongly improved this work.
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Bini, M., Velucchi, M. (2011). Italian Firms’ Geographical Location in High-tech Industries: A Robust Analysis. In: Fichet, B., Piccolo, D., Verde, R., Vichi, M. (eds) Classification and Multivariate Analysis for Complex Data Structures. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13312-1_18
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DOI: https://doi.org/10.1007/978-3-642-13312-1_18
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