A continuous spatio-temporal model for house prices in the USA
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DOI: 10.1007/s00168-016-0801-6
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- M. Hashem Pesaran, 2006.
"Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure,"
Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
- M. Hashem Pesaran, 2004. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," CESifo Working Paper Series 1331, CESifo.
- Holly, Sean & Pesaran, M. Hashem & Yamagata, Takashi, 2010.
"A spatio-temporal model of house prices in the USA,"
Journal of Econometrics, Elsevier, vol. 158(1), pages 160-173, September.
- Sean Holly & M. Hashem Pesaran & Takashi Yamagata, 2006. "A Spatio-Temporal Model of House Prices in the US," CESifo Working Paper Series 1826, CESifo.
- Holly, Sean & Pesaran, M. Hashem & Yamagata, Takashi, 2006. "A Spatio-Temporal Model of House Prices in the US," IZA Discussion Papers 2338, Institute of Labor Economics (IZA).
- Holly, S. & Pesaran, M.H. & Yamagata. T., 2006. "A Spatio-Temporal Model of House Prices in the US," Cambridge Working Papers in Economics 0654, Faculty of Economics, University of Cambridge.
- Michela Cameletti & Finn Lindgren & Daniel Simpson & Håvard Rue, 2013. "Spatio-temporal modeling of particulate matter concentration through the SPDE approach," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(2), pages 109-131, April.
- Robert J Shiller, 2008.
"Historic Turning Points in Real Estate,"
Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 34(1), pages 1-13, Winter.
- Robert J. Shiller, 2007. "Historic Turning Points in Real Estate," Cowles Foundation Discussion Papers 1610, Cowles Foundation for Research in Economics, Yale University.
- MÁrcio Poletti Laurini & Luiz Koodi Hotta, 2014.
"Forecasting the Term Structure of Interest Rates Using Integrated Nested Laplace Approximations,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(3), pages 214-230, April.
- Márcio Laurini & Luiz Koodi Hotta, 2011. "Forecasting the Term Structure of Interest Rates Using Integrated Nested Laplace Approximations," IBMEC RJ Economics Discussion Papers 2011-01, Economics Research Group, IBMEC Business School - Rio de Janeiro.
- Julian Besag & Jeremy York & Annie Mollié, 1991. "Bayesian image restoration, with two applications in spatial statistics," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 43(1), pages 1-20, March.
- Alexander Chudik & M. Hashem Pesaran & Elisa Tosetti, 2011.
"Weak and strong cross‐section dependence and estimation of large panels,"
Econometrics Journal, Royal Economic Society, vol. 14(1), pages 45-90, February.
- Alexander Chudik & M. Hashem Pesaran & Elisa Tosetti, 2011. "Weak and strong cross‐section dependence and estimation of large panels," Econometrics Journal, Royal Economic Society, vol. 14, pages 45-90, February.
- Chudik, Alexander & Pesaran, Hashem & Tosetti, Elisa, 2009. "Weak and strong cross section dependence and estimation of large panels," Working Paper Series 1100, European Central Bank.
- Chudik, A. & Pesaran, M.H. & Tosetti, E., 2009. "Weak and Strong Cross Section Dependence and Estimation of Large Panels," Cambridge Working Papers in Economics 0924, Faculty of Economics, University of Cambridge.
- Alexander Chudik & M. Hashem Pesaran & Elisa Tosetti, 2009. "Weak and Strong Cross Section Dependence and Estimation of Large Panels," CESifo Working Paper Series 2689, CESifo.
- Håvard Rue & Sara Martino & Nicolas Chopin, 2009. "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(2), pages 319-392, April.
- Natalia Bailey & Sean Holly & M. Hashem Pesaran, 2016.
"A Two‐Stage Approach to Spatio‐Temporal Analysis with Strong and Weak Cross‐Sectional Dependence,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(1), pages 249-280, January.
- Natalia Bailey & Sean Holly & N. Hashem Pesaran, 2013. "A Two Stage Approach to Spatiotemporal Analysis with Strong and weak cross Sectional Dependence," Cambridge Working Papers in Economics 1362, Faculty of Economics, University of Cambridge.
- Natalia Bailey & Sean Holly & M. Hashem Pesaran, 2014. "A Two Stage Approach to Spatiotemporal Analysis with Strong and Weak Cross-Sectional Dependence," CESifo Working Paper Series 4592, CESifo.
- Badi H. Baltagi & Jing Li, 2014. "Further Evidence On The Spatio‐Temporal Model Of House Prices In The United States," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 515-522, April.
- Lindgren, Finn & Rue, Håvard, 2015. "Bayesian Spatial Modelling with R-INLA," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i19).
- Finn Lindgren & Håvard Rue & Johan Lindström, 2011. "An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(4), pages 423-498, September.
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Cited by:
- S. R. Johnson & S. E. Heaps & K. J. Wilson & D. J. Wilkinson, 2023. "A Bayesian spatio‐temporal model for short‐term forecasting of precipitation fields," Environmetrics, John Wiley & Sons, Ltd., vol. 34(8), December.
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More about this item
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
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
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