Industrial location and interpretation of zero counts

Daniel Liviano () and Josep-Maria Arauzo-Carod

The Annals of Regional Science, 2013, vol. 50, issue 2, 515-534

Abstract: This paper intends to shed light on the treatment of zero counts in count data (CD) industrial location models. An excess of zeros and overdispersion has been dealt with by estimating mixture models such as negative binomial, zero-inflated and hurdle models. However, the existence of a considerable share of zero counts could also have an economic interpretation that is worth investigating. To do so, several CD models focussing specifically on zero-inflated and hurdle models have been fitted and compared to examine empirical data for Catalonia. Copyright Springer-Verlag 2013

Keywords: C21; L26; R12 (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1007/s00168-012-0502-8

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