Spatial Econometrics

Qualitative and Limited Dependent Variables

By: Badi H. Baltagi (Editor), R. Kelley Pace (Editor), James P. LeSage (Editor)

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Hardcover | 8 December 2016

At a Glance

Hardcover
408 Pages

Dimensions(cm)
16.2 x 24 x 2.7

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$444.75

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Advances in Econometrics is a research annual whose editorial policy is to publish original research articles that contain enough details so that economists and econometricians who are not experts in the topics will find them accessible and useful in their research. Volume 37 exemplifies this focus by highlighting key research from new developments in econometrics.

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Seven of the eleven papers in this collection explain how to estimate discrete dependent variables with spatial dependence using maximum likelihood and how to estimate binary and count dependent variables using Bayesian methods. A generic algorithm for numerically accurate likelihood evaluates spatial models characterized by a high-dimensional latent Gaussian process and non-Gaussian response variables. The remaining four papers address continuous dependent variables for modeling group interaction in research, the spillover effects of public capital stock, government and industry impacts on innovation, and Boston housing data. -- Annotation (c)2017 * (protoview.com) *

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