Embracing heterogeneity: the spatial autoregressive mixture model
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DOI: 10.1016/j.regsciurbeco.2017.03.004
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Cited by:
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- Tamás Krisztin & Philipp Piribauer, 2021. "A Bayesian Spatial Autoregressive Logit Model With An Empirical Application to European Regional FDI Flows," WIFO Working Papers 586, WIFO.
- Alberto Gude & Inmaculada Álvarez & Luis Orea, 2018.
"Heterogeneous spillovers among Spanish provinces: a generalized spatial stochastic frontier model,"
Journal of Productivity Analysis, Springer, vol. 50(3), pages 155-173, December.
- Gude, Alberto & Álvarez, Inmaculada C. & Orea, Luis, 2017. "Heterogeneous spillovers among Spanish provinces: A generalized spatial stochastic frontier model," Efficiency Series Papers 2017/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
- Nikolas Kuschnig, 2021.
"Bayesian Spatial Econometrics and the Need for Software,"
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wuwp318, Vienna University of Economics and Business, Department of Economics.
- Kuschnig, Nikolas, 2021. "Bayesian Spatial Econometrics and the Need for Software," Department of Economics Working Paper Series 318, WU Vienna University of Economics and Business.
- Niko Hauzenberger & Michael Pfarrhofer, 2021.
"Bayesian State‐Space Modeling for Analyzing Heterogeneous Network Effects of US Monetary Policy,"
Scandinavian Journal of Economics, Wiley Blackwell, vol. 123(4), pages 1261-1291, October.
- Niko Hauzenberger & Michael Pfarrhofer, 2019. "Bayesian state-space modeling for analyzing heterogeneous network effects of US monetary policy," Papers 1911.06206, arXiv.org, revised Sep 2020.
- Pfarrhofer, Michael & Niko , Hauzenberger, 2019. "Bayesian state-space modeling for analyzing heterogeneous network effects of US monetary policy," Working Papers in Economics 2019-6, University of Salzburg.
- Nikolas Kuschnig, 2022. "Bayesian spatial econometrics: a software architecture," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-25, December.
- Michael Alexeev & Yao-Yu Chih, 2017. "Oil Price Shocks and Economic Growth in the Us," CAEPR Working Papers 2017-011, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
- Michael Pfarrhofer & Philipp Piribauer, 2018. "Flexible shrinkage in high-dimensional Bayesian spatial autoregressive models," Papers 1805.10822, arXiv.org.
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More about this item
Keywords
Mixture distributions; Spatial heterogeneity; Spatial models;All these keywords.
JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
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