Industrial Location Modeling: Extending the Random Utility Framework

By Paulo Guimarães, Octávio Figueiredo, Douglas P. Woodward. 2004

207 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing

View Paper: https://www.semanticscholar.org/paper/c0abb26a39b2958e0c11d5d98b4223717dae3c05

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

In Marketing

Citations in the corpus

A two-step estimator for a spatial lag model of counts: Theory, small sample performance and an application☆ (2010, methodology): “Guimarães et al. (2003, 2004) provided the theoretical foundations behind firm site selection in the context of a random profit maximization model.”
Economic institutions and FDI location choice: Evidence from US multinationals in China (2008, methodology): “Recent study by Guimarães et al. (2004) shows that conditional logit model can be estimated by Poisson regression as a way of controlling more effectively for the potential IIA violation in FDI location decisions.”
State Taxation and the Reallocation of Business Activity: Evidence from Establishment-Level Data (2019, unknown): “Gupta and Mills (2002) find suggestive evidence that firms optimize reported sales locations in 14This is sometimes referred to as a “double-weighted”sales apportionment factor.”
Location determinants of high-growth firms (2015, background): “As Guimarães, Figueirdo, and Woodward (2003), Guimaraes, Figueiredo, and Woodward (2004) note, if expected profit for firm j locating in county or region c (πcj) is a random variable representing a linear combination of elements that are both stochastic and deterministic, a conditional logit model…”
Assessing the effects of local taxation using microgeographic data (2011, unknown): “More recent work (e.g., Guimaraes, Figueiredo, and Woodward, 2004) has started to move towards smaller spatial units such as US counties with similar results.”
Empirical Studies in Industrial Location: An Assessment of Their Methods and Results (2009, methodology): “More specifically, inferences from both DCM and CDM can be interpreted as reduced-form results derived from a structural model of firm/plant location decision (Becker and Henderson 2000, Guimarães et al. 2004).”