Spatial Econometrics by Badi H Baltagi
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.-
Econometrics of Climate, Energy, and Green Transition
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Regression Discontinuity Designs
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Essays in Honor of Jerry Hausman
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The Econometrics of Complex Survey Data
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30th Anniversary Edition
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DSGE Models in Macroeconomics
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Var Models in Macroeconomics - New Developments and Applications
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Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling
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Essays in Honor of Cheng Hsiao
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Nonstationary Panels, Panel Cointegration, and Dynamic Panels
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Bayesian Econometrics
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Econometrics and Risk Management
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Spatial and Spatiotemporal Econometrics
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Maximum Likelihood Estimation of Misspecified Models
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Applying Maximum Entropy to Econometric Problems
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Messy Data
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Applications of Artificial Intelligence in Finance and Economics
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The Econometrics of Networks
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Econometric Models in Marketing
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Econometric Analysis of Financial and Economic Time Series
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Modelling and Evaluating Treatment Effects in Econometrics
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Essays in Honour of Fabio Canova
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Maximum Simulated Likelihood Methods and Applications
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Essays in Honor of Aman Ullah
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Structural Econometric Models
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Measurement Error
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Dynamic Factor Models
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Nonparametric Econometric Methods
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Bayesian Model Comparison
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Essays in Honor of M. Hashem Pesaran
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Essays in Honor of Joon Y. Park
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Essays in Honor of Subal Kumbhakar
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Essays in Honor of Peter C. B. Phillips
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 methodsA 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 ©2017 * (protoview.com) *
Badi H. Baltagi, Syracuse University, Syracuse, NY, USA James P. Lesage, Texas State University, San Marcos, TX, USA R. Kelley Pace, Louisiana State University, Baton Rouge, LA, USA
| SKU | Unavailable |
| ISBN 13 | 9781785609862 |
| ISBN 10 | 1785609866 |
| Title | Spatial Econometrics |
| Author | Badi H Baltagi |
| Series | Advances In Econometrics |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Emerald Publishing Limited |
| Year published | 2016-12-08 |
| Number of pages | 408 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |