Employment growth in Italian local labour systems: issues of model specification and sectoral aggregation
Employment growth in Italian local labour systems: issues of model specification and sectoral aggregation
In this paper we construct a model to estimate local employment growth in Italian local labour markets for the period 1991-2001. The model is constructed in a similar manner to the original models of Glaeser et al. (1992), Henderson et al. (1995) and Combes (2000). Our objective is to identify the extent to which the results estimated by these types of models are themselves sensitive to the model specification. In order to do this we extend the basic models by successively incorporating new explanatory variables into the model framework. In addition, and for the first time, we also estimate these same models at two different levels of sectoral aggregation, for the same spatial structure. Our results indicate that these models are highly sensitive to sectoral aggregation and classification and our results therefore strongly support the use of highly disaggregated data.
343-359
Mameli, Francesca
dd7d2284-20ec-47e1-a17a-0a2d5867d642
Faggian, Alessandra
e970c6b0-82d6-4ae9-8ef5-db7b718bcd65
McCann, Philip
f0dd8037-995e-4ff9-b339-13dee3d67be6
November 2008
Mameli, Francesca
dd7d2284-20ec-47e1-a17a-0a2d5867d642
Faggian, Alessandra
e970c6b0-82d6-4ae9-8ef5-db7b718bcd65
McCann, Philip
f0dd8037-995e-4ff9-b339-13dee3d67be6
Mameli, Francesca, Faggian, Alessandra and McCann, Philip
(2008)
Employment growth in Italian local labour systems: issues of model specification and sectoral aggregation.
Spatial Economic Analysis, 3 (3), .
(doi:10.1080/17421770802353030).
Abstract
In this paper we construct a model to estimate local employment growth in Italian local labour markets for the period 1991-2001. The model is constructed in a similar manner to the original models of Glaeser et al. (1992), Henderson et al. (1995) and Combes (2000). Our objective is to identify the extent to which the results estimated by these types of models are themselves sensitive to the model specification. In order to do this we extend the basic models by successively incorporating new explanatory variables into the model framework. In addition, and for the first time, we also estimate these same models at two different levels of sectoral aggregation, for the same spatial structure. Our results indicate that these models are highly sensitive to sectoral aggregation and classification and our results therefore strongly support the use of highly disaggregated data.
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Published date: November 2008
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Local EPrints ID: 65089
URI: http://eprints.soton.ac.uk/id/eprint/65089
ISSN: 1742-1772
PURE UUID: ae2dfb07-8042-4c47-b65b-b1ec616d685a
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Date deposited: 02 Feb 2009
Last modified: 15 Mar 2024 12:06
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Author:
Francesca Mameli
Author:
Alessandra Faggian
Author:
Philip McCann
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