A SPATIAL MULTIVARIATE COUNT MODEL FOR FIRM LOCATION DECISIONS

Chandra R. Bhat, Rajesh Paleti and Palvinder Singh

Journal of Regional Science, 2014, vol. 54, issue 3, 462-502

Abstract: type="main">

This paper proposes a new spatial multivariate model to predict the count of new businesses at a county level in the state of Texas. Several important factors including agglomeration economies/diseconomies, industrial specialization indices, human capital, fiscal conditions, transportation infrastructure, and land development characteristics are considered. The results highlight the need to use a multivariate modeling system for the analysis of business counts by sector type, while also accommodating spatial dependence effects in business counts.

Date: 2014
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