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Modeling spatial discrete choice

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Cited by:

  1. Smirnov, Oleg A. & Egan, Kevin J., 2012. "Spatial random utility model with an application to recreation demand," Economic Modelling, Elsevier, vol. 29(1), pages 72-78.
  2. Heijnen, P. & Samarina, A.. & Jacobs, J.P.A.M. & Elhorst, J.P., 2013. "State transfers at different moments in time," Research Report 13006-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
  3. Denis Anne, 2019. "Aides à la mobilité et insertion sociale," Erudite Ph.D Dissertations, Erudite, number ph19-03 edited by Yannick L'Horty, February.
  4. Jean-Sauveur Ay & Raja Chakir & Julie Le Gallo, 2014. "The effects of scale, space and time on the predictive accuracy of land use models," Working Papers 2014/02, INRA, Economie Publique.
  5. Bolun Li & Robin Sickles & Jenny Williams, 2020. "Estimating Peer Effects on Career Choice: A Spatial Multinomial Logit Approach," Advances in Econometrics, in: Essays in Honor of Cheng Hsiao, volume 41, pages 359-381, Emerald Group Publishing Limited.
  6. Sylvain Chareyron, 2016. "Le non-recours aux aides sociales sous conditions de ressources," Erudite Ph.D Dissertations, Erudite, number ph16-01 edited by Yannick L'Horty & François Legendre, February.
  7. Tamás Krisztin & Philipp Piribauer, 2021. "A Bayesian spatial autoregressive logit model with an empirical application to European regional FDI flows," Empirical Economics, Springer, vol. 61(1), pages 231-257, July.
  8. Qu, Xi & Lee, Lung-fei, 2012. "LM tests for spatial correlation in spatial models with limited dependent variables," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 430-445.
  9. Buczkowska, Sabina & de Lapparent, Matthieu, 2014. "Location choices of newly created establishments: Spatial patterns at the aggregate level," Regional Science and Urban Economics, Elsevier, vol. 48(C), pages 68-81.
  10. Haoying Wang & Guohui Wu, 2022. "Modeling discrete choices with large fine-scale spatial data: opportunities and challenges," Journal of Geographical Systems, Springer, vol. 24(3), pages 325-351, July.
  11. Troxler, David & Zabel, Astrid & Grêt-Regamey, Adrienne, 2023. "Identifying drivers of forest clearances in Switzerland," Forest Policy and Economics, Elsevier, vol. 150(C).
  12. Triboulet, Pierre & Peres, Stephanie, 2015. "La répartition spatiale des industries agroalimentaires dans le secteur coopératif français," Économie rurale, French Society of Rural Economics (SFER Société Française d'Economie Rurale), vol. 346(March-Apr).
  13. repec:dgr:rugsom:13006-eef is not listed on IDEAS
  14. Cristiano Franceschinis & Riccardo Scarpa & Mara Thiene & John Rose & Michele Moretto & Raffaele Cavalli, 2016. "Exploring the Spatial Heterogeneity of Individual Preferences for Ambient Heating Systems," Energies, MDPI, vol. 9(6), pages 1-19, May.
  15. Badi H. Baltagi & Ying Deng & Xiangjun Ma, 2018. "Network effects on labor contracts of internal migrants in China: a spatial autoregressive model," Empirical Economics, Springer, vol. 55(1), pages 265-296, August.
  16. Anna Gloria Billé, 2013. "Computational Issues in the Estimation of the Spatial Probit Model: A Comparison of Various Estimators," The Review of Regional Studies, Southern Regional Science Association, vol. 43(2,3), pages 131-154, Winter.
  17. Giuseppe Arbia, 2011. "A Lustrum of SEA: Recent Research Trends Following the Creation of the Spatial Econometrics Association (2007--2011)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 377-395, July.
  18. Klaus Glenk & Robert J. Johnston & Jürgen Meyerhoff & Julian Sagebiel, 2020. "Spatial Dimensions of Stated Preference Valuation in Environmental and Resource Economics: Methods, Trends and Challenges," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(2), pages 215-242, February.
  19. Baltagi, Badi H. & Egger, Peter H. & Kesina, Michaela, 2017. "Determinants of firm-level domestic sales and exports with spillovers: Evidence from China," Journal of Econometrics, Elsevier, vol. 199(2), pages 184-201.
  20. Lili Geng & Yongji Xue, 2023. "Promoting ICT adoption in rural entrepreneurship: more neighbourhood effect or more institutional incentives?—Empirical evidence from China," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(6), pages 1530-1548, August.
  21. Luo, Shali & Miller, J. Isaac, 2014. "On the spatial correlation of international conflict initiation and other binary and dyadic dependent variables," Regional Science and Urban Economics, Elsevier, vol. 44(C), pages 107-118.
  22. Mozharovskyi, Pavlo & Vogler, Jan, 2016. "Composite marginal likelihood estimation of spatial autoregressive probit models feasible in very large samples," Economics Letters, Elsevier, vol. 148(C), pages 87-90.
  23. Sandra Rousseau & Marieke Franck & Simon De Jaeger, 2020. "The Impact of Spatial Patterns in Road Traffic Externalities on Willingness-to-Pay Estimates," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(2), pages 271-295, February.
  24. J. Paul Elhorst & Pim Heijnen & Anna Samarina & Jan P. A. M. Jacobs, 2017. "Transitions at Different Moments in Time: A Spatial Probit Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 422-439, March.
  25. Bhat, Chandra R. & Pinjari, Abdul R. & Dubey, Subodh K. & Hamdi, Amin S., 2016. "On accommodating spatial interactions in a Generalized Heterogeneous Data Model (GHDM) of mixed types of dependent variables," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 240-263.
  26. Stefano Mainardi, 2021. "Preference heterogeneity, neighbourhood effects and basic services: logit kernel models for farmers’ climate adaptation in Ethiopia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 6869-6912, May.
  27. Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2018. "Generalized spatial autocorrelation in a panel-probit model with an application to exporting in China," Empirical Economics, Springer, vol. 55(1), pages 193-211, August.
  28. Wucherpfennig, Julian & Kachi, Aya & Bormann, Nils-Christian & Hunziker, Philipp, 2018. "Estimating Interdependence Across Space, Time and Outcomes in Binary Choice Models Using Pseudo Maximum Likelihood Estimators," Working papers 2018/11, Faculty of Business and Economics - University of Basel.
  29. Shen, Yu & de Abreu e Silva, João & Martínez, Luis Miguel, 2014. "Assessing High-Speed Rail’s impacts on land cover change in large urban areas based on spatial mixed logit methods: a case study of Madrid Atocha railway station from 1990 to 2006," Journal of Transport Geography, Elsevier, vol. 41(C), pages 184-196.
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