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STS555 Mohamed Salem Ahmed et al.
                  3.  Carroll, R. J., Fan, J., Gijbels, I., and Wand, M. P. (1997). Generalized
                      partially linear single-index models. Journal of the American Statistical
                      Association, 92(438):477–489.
                  4.  Conley, T. G. (1999). Gmm estimation with cross sectional dependence.
                      Journal of econometrics, 92(1):1–45.
                  5.  Cressie, N. A. (1993). Statistics for spatial data. Wiley.
                  6.  Fleming, M. M. (2004). Techniques for estimating spatially dependent
                      discrete choice models. In Advances in spatial econometrics, pages 145–
                      168. Springer.
                  7.  Garthoff, R. and Otto, P. (2017). Control charts for multivariate spatial
                      autoregressive models. AStA Adv. Stat. Anal., 101(1):67–94.
                  8.  Hastie, T. J. and Tibshirani, R. J. (1990). Generalized additive models,
                      volume 43. CRC Press.
                  9.  Kelejian, H. H. and Prucha, I. R. (1999). A generalized moments estimator
                      for the autoregressive parameter in a spatial model. Internat. Econom.
                      Rev., 40(2):509–533.
                  10. Lee, L.-F. (2004). Asymptotic distributions of quasi-maximum likelihood
                      estimators for spatial autore-gressive models. Econometrica, 72(6):1899–
                      1925.
                  11. Pinkse, J. and Slade, M. E. (1998). Contracting in space: An application of
                      spatial statistics to discrete-choice models. Journal of Econometrics,
                      85(1):125–154.
                  12. Poirier, D. J. and Ruud, P. A. (1988). Probit with dependent observations.
                      The Review of Economic Studies, 55(4):593–614.
                  13. Robinson, P. M. (2011). Asymptotic theory for nonparametric regression
                      with spatial data. Journal of Econometrics, 165(1):5–19.
                  14. Severini, T. A. and Staniswalis, J. G. (1994). Quasi-likelihood estimation in
                      semiparametric models. Journal of the American statistical Association,
                      89(426):501–511.
                  15. Severini, T. A. and Wong, W. H. (1992). Profile likelihood and conditionally
                      parametric models. The Annals of statistics, pages 1768–1802.
                  16. Smirnov, O. A. (2010). Modeling spatial discrete choice. Regional science
                      and urban economics, 40(5):292–298.
                  17. Su, L. (2012). Semiparametric gmm estimation of spatial autoregressive
                      models. Journal of Econometrics, 167(2):543–560.
                  18. Wang, H., Iglesias, E. M., and Wooldridge, J. M. (2013). Partial maximum
                      likelihood estimation of spatial probit models. Journal of Econometrics,
                      172(1):77–89.





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