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Estimation of higher‐order spatial autoregressive cross‐section models with heteroscedastic disturbances

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  • Harald Badinger
  • Peter Egger

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  • Harald Badinger & Peter Egger, 2011. "Estimation of higher‐order spatial autoregressive cross‐section models with heteroscedastic disturbances," Papers in Regional Science, Wiley Blackwell, vol. 90(1), pages 213-235, March.
  • Handle: RePEc:bla:presci:v:90:y:2011:i:1:p:213-235
    DOI: j.1435-5957.2010.00323.x
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    File URL: http://hdl.handle.net/10.1111/j.1435-5957.2010.00323.x
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    Citations

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    Cited by:

    1. Badinger, Harald & Egger, Peter, 2013. "Spacey Parents and Spacey Hosts in FDI," Department of Economics Working Paper Series 3924, WU Vienna University of Economics and Business.
    2. Glass, Anthony J. & Kenjegalieva, Karligash & Sickles, Robin C. & Weyman-Jones, Thomas, 2016. "The Spatial Efficiency Multiplier and Random Effects in Spatial Stochastic Frontier Models," Working Papers 16-002, Rice University, Department of Economics.
    3. Doğan, Osman & Taşpınar, Süleyman, 2014. "Spatial autoregressive models with unknown heteroskedasticity: A comparison of Bayesian and robust GMM approach," Regional Science and Urban Economics, Elsevier, vol. 45(C), pages 1-21.
    4. Harald Badinger & Peter Egger, 2009. "Estimation of Higher-Order Spatial Autoregressive Panel Data Error Component Models," CESifo Working Paper Series 2556, CESifo Group Munich.
    5. repec:eee:econom:v:202:y:2018:i:1:p:92-107 is not listed on IDEAS
    6. Liu, Shew Fan & Yang, Zhenlin, 2015. "Modified QML estimation of spatial autoregressive models with unknown heteroskedasticity and nonnormality," Regional Science and Urban Economics, Elsevier, vol. 52(C), pages 50-70.
    7. repec:bla:econom:v:84:y:2017:i:335:p:480-497 is not listed on IDEAS
    8. repec:eee:regeco:v:69:y:2018:i:c:p:48-68 is not listed on IDEAS
    9. Elhorst, J. Paul & Lacombe, Donald J. & Piras, Gianfranco, 2012. "On model specification and parameter space definitions in higher order spatial econometric models," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 211-220.
    10. Gong, Pu & Weng, Yingliang, 2016. "Value-at-Risk forecasts by a spatiotemporal model in Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 173-191.
    11. Gupta, Abhimanyu & Robinson, Peter M., 2018. "Pseudo maximum likelihood estimation of spatial autoregressive models with increasing dimension," Journal of Econometrics, Elsevier, vol. 202(1), pages 92-107.
    12. López-Hernández, Fernando A., 2013. "Second-order polynomial spatial error model. Global and local spatial dependence in unemployment in Andalusia," Economic Modelling, Elsevier, vol. 33(C), pages 270-279.
    13. repec:taf:rjbsxx:v:31:y:2016:i:4:p:441-461 is not listed on IDEAS
    14. Matthias Arnold & Sebastian Stahlberg & Dominik Wied, 2013. "Modeling different kinds of spatial dependence in stock returns," Empirical Economics, Springer, vol. 44(2), pages 761-774, April.
    15. Amjad Naveed & Nisar Ahmad, 2016. "Technology Spillovers and International Borders: A Spatial Econometric Analysis," Journal of Borderlands Studies, Taylor & Francis Journals, vol. 31(4), pages 441-461, October.

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