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Spatial models with spatially lagged dependent variables and incomplete data

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  • Harry Kelejian
  • Ingmar Prucha

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  • Harry Kelejian & Ingmar Prucha, 2010. "Spatial models with spatially lagged dependent variables and incomplete data," Journal of Geographical Systems, Springer, vol. 12(3), pages 241-257, September.
    • Handle: RePEc:kap:jgeosy:v:12:y:2010:i:3:p:241-257
    DOI: 10.1007/s10109-010-0109-5
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    References listed on IDEAS

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    1. James P. LeSage & R. Kelley Pace, 2004. "Models for Spatially Dependent Missing Data," The Journal of Real Estate Finance and Economics, Springer, vol. 29(2), pages 233-254, September.
    2. Kelejian, Harry H. & Murrell, Peter & Shepotylo, Oleksandr, 2013. "Spatial spillovers in the development of institutions," Journal of Development Economics, Elsevier, vol. 101(C), pages 297-315.
    3. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
    4. Kelejian, Harry H. & Prucha, Ingmar R., 2004. "Estimation of simultaneous systems of spatially interrelated cross sectional equations," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 27-50.
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    Citations

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    Cited by:

    1. Lee, Lung-fei & Yu, Jihai, 2015. "Estimation of fixed effects panel regression models with separable and nonseparable space–time filters," Journal of Econometrics, Elsevier, vol. 184(1), pages 174-192.
    2. Giuseppe Arbia & Giuseppe Espa & Diego Giuliani, 2016. "Dirty spatial econometrics," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 177-189, January.
    3. Simon Loretz & Padraig Moore, 2013. "Corporate tax competition between firms," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 20(5), pages 725-752, October.
    4. Firgo, Matthias & Pennerstorfer, Dieter & Weiss, Christoph R., 2015. "Centrality and pricing in spatially differentiated markets: The case of gasoline," International Journal of Industrial Organization, Elsevier, vol. 40(C), pages 81-90.
    5. Oleksandr Shepotylo, 2012. "Spatial complementarity of FDI: the example of transition countries," Post-Communist Economies, Taylor & Francis Journals, vol. 24(3), pages 327-349, October.
    6. Cathrine Ulla Jensen & Toke Emil Panduro & Thomas Hedemark Lundhede, 2013. "The Vindication of Don Quijote: The impact of noise and visual pollution from wind turbines on local residents in Denmark," IFRO Working Paper 2013/13, University of Copenhagen, Department of Food and Resource Economics.
    7. Glass, Anthony J. & Kenjegalieva, Karligash & Sickles, Robin C. & Weyman-Jones, Thomas, 2018. "The Spatial Efficiency Multiplier and Common Correlated Effects in a Spatial Autoregressive Stochastic Frontier Model," Working Papers 18-003, Rice University, Department of Economics.
    8. Kelejian, Harry H. & Murrell, Peter & Shepotylo, Oleksandr, 2013. "Spatial spillovers in the development of institutions," Journal of Development Economics, Elsevier, vol. 101(C), pages 297-315.
    9. Eleonora Patacchini & Xiaodong Liu & Edoardo Rainone, 2013. "The Allocation of Time in Sleep: A Social Network Model with Sampled Data," Center for Policy Research Working Papers 162, Center for Policy Research, Maxwell School, Syracuse University.
    10. Takahisa Yokoi, 2018. "Spatial lag dependence in the presence of missing observations," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 25-40, January.
    11. Elhorst, J. Paul & Emili, Silvia, 2022. "A spatial econometric multivariate model of Okun's law," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    12. Michael Pfaffermayr, 2013. "The Cliff and Ord Test for Spatial Correlation of the Disturbances in Unbalanced Panel Models," International Regional Science Review, , vol. 36(4), pages 492-506, October.
    13. Cathrine Ulla Jensen & Toke Emil Panduro & Thomas Hedemark Lundhede, 2014. "The Vindication of Don Quixote: The Impact of Noise and Visual Pollution from Wind Turbines," Land Economics, University of Wisconsin Press, vol. 90(4), pages 668-682.
    14. Borsky, Stefan & Kalkschmied, Katja, 2019. "Corruption in space: A closer look at the world's subnations," European Journal of Political Economy, Elsevier, vol. 59(C), pages 400-422.
    15. Wang, Wei & Lee, Lung-fei, 2013. "Estimation of spatial panel data models with randomly missing data in the dependent variable," Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 521-538.
    16. Izaguirre, Alejandro & Di Capua, Laura, 2020. "Exploring peer effects in education in Latin America and the Caribbean," Research in Economics, Elsevier, vol. 74(1), pages 73-86.
    17. Luo, Guowang & Wu, Mixia & Xu, Liwen, 2021. "IPW-based robust estimation of the SAR model with missing data," Statistics & Probability Letters, Elsevier, vol. 172(C).

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    More about this item

    Keywords

    Spatial models; Missing data; Instrumental variable estimation; C21; C31;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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