Raising the bar (13)

REFERENCES

• Burger, M., Van Oort, F., & Linders, G.-J. (2009). On the specification of the gravity model of trade: Zeros, excess zeros and zero-inflated estimation. Spatial Economic Analysis, 4(2), 167–190.
   Web of Science ®Google Scholar
• Burridge, P., Elhorst, J. P., & Zigova, K. (2017). Group interaction in research and the use of general nesting spatial models. In K. Pace, J. P. LeSage, & B. Baltagi (Eds.), Advances in econometrics, volume 37, spatial and spatiotemporal econometrics (pp. 223–258). Amsterdam: Elsevier.
   Google Scholar
• Capasso, S., D’Uva, M., Fiorelli, C., & Napolitano, O. (2019). Spatial asymmetries in monetary policy effectiveness in Italian regions. Spatial Economic Analysis. doi: 10.1080/17421772.2020.1673899
   Web of Science ®Google Scholar
• Corrado, L., Distante, R., & Joxhe, M. (2019). Body mass index and social interactions from adolescence to adulthood. Spatial Economic Analysis, 1–21. doi: 10.1080/17421772.2019.1626020
   Web of Science ®Google Scholar
• Elhorst, P., Abreu, M., Amaral, P., Bhattacharjee, A., Corrado, L., Doran, J., … Yu, J. (2017). Raising the bar (5). Spatial Economic Analysis, 12(1), 1–7.
   Web of Science ®Google Scholar
• Faggian, A., & Franklin, R. S. (2014). Human capital redistribution in the USA: The migration of the college-bound. Spatial Economic Analysis, 9(4), 376–395.
   PubMed Web of Science ®Google Scholar
• Gibbons, S., Overman, H. G., & Patacchini, E. (2015). Spatial methods. In G. Duranton, J. Vernon Henderson, & W. C. Strange (Eds.), Handbook of regional and urban economics, volume 5 (pp. 115–168). Amsterdam: Elsevier.
   Google Scholar
• Gluschenko, K. (2018). Measuring regional inequality: To weight or not to weight? Spatial Economic Analysis, 13(1), 36–59.
   Web of Science ®Google Scholar
• Grana, J., & Eschelbach Hansen, M. (2019). New evidence of spillovers in personal bankruptcy using point-coded data. Spatial Economic Analysis, 1–19. doi: 10.1080/17421772.2019.1636128
   Google Scholar
• Gross, M. (2019). Estimating GVAR weight matrices. Spatial Economic Analysis, 14(2), 219–240.
   Web of Science ®Google Scholar
• Haapanen, M., & Böckerman, P. (2017). More educated, more mobile? Evidence from post-secondary education reform. Spatial Economic Analysis, 12(1), 8–26.
   Web of Science ®Google Scholar
• Kazakis, P. (2019). On the nexus between innovation, productivity and migration of US university graduates. Spatial Economic Analysis, 1–21. doi: 10.1080/17421772.2019.1636127
   Web of Science ®Google Scholar
• Krisztin, T., & Fischer, M. M. (2015). The gravity model for international trade: Specification and estimation issues. Spatial Economic Analysis, 10(4), 451–470.
   Web of Science ®Google Scholar
• Lankhuizen, M. B. M., De Graaff, T., & De Groot, H. L. F. (2015). Product heterogeneity, intangible barriers and distance decay: The effect of multiple dimensions of distance on trade across different product categories. Spatial Economic Analysis, 10(2), 137–159.
   Web of Science ®Google Scholar
• Lankhuizen, M., & Thissen, M. (2019). The implications of re-exports for gravity equation estimation, NAFTA and Brexit. Spatial Economic Analysis, 1–20. doi: 10.1080/17421772.2019.1623419
   Web of Science ®Google Scholar
• Lee, L. F., Liu, X., & Lin, X. (2010). Specification and estimation of social interaction models with network structures. Econometrics Journal, 13(2), 145–176.
   Web of Science ®Google Scholar
• Manski, C. F. (1993). Identification of endogenous social effects: The reflection problem. Review of Economic Studies, 60(3), 531–542.
   Web of Science ®Google Scholar
• Ramajo, J., Márquez, M. A., & Hewings, G. J. D. (2017). Spatiotemporal analysis of regional systems: A multiregional spatial vector autoregressive model for Spain. International Regional Science Review, 40(1), 75–96.
   Web of Science ®Google Scholar
• Santoalha, A. (2019). New indicators of related diversification applied to smart specialization in European regions. Spatial Economic Analysis, 1–21. doi: 10.1080/17421772.2019.1584328
   Web of Science ®Google Scholar
• Zhu, B. (2018). The multi-country transmission of sovereign and banking risk: A spatial vector autoregressive approach. Spatial Economic Analysis, 13(4), 422–441.
   Web of Science ®Google Scholar