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The spatial econometrics of the coronavirus pandemic. (2020). Piribauer, Philipp ; Krisztin, Tamás ; Wogerer, Michael.
In: Letters in Spatial and Resource Sciences.
RePEc:spr:lsprsc:v:13:y:2020:i:3:d:10.1007_s12076-020-00254-1.

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  1. The role of spillovers when evaluating regional development interventions: evidence from administrative upgrading in China. (2024). Gibson, John ; Li, Chao ; Zhang, Xiaoxuan.
    In: Letters in Spatial and Resource Sciences.
    RePEc:spr:lsprsc:v:17:y:2024:i:1:d:10.1007_s12076-024-00371-1.

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  2. Using machine learning to estimate health spillover effects. (2024). Wichmann, Bruno.
    In: The European Journal of Health Economics.
    RePEc:spr:eujhec:v:25:y:2024:i:4:d:10.1007_s10198-023-01621-7.

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  3. People inflows as a pandemic trigger: Evidence from a quasi-experimental study. (2024). Meleddu, Marta ; Delogu, Marco ; Caria, Andrea ; Sotgiu, Giovanni.
    In: Economics & Human Biology.
    RePEc:eee:ehbiol:v:52:y:2024:i:c:s1570677x23001223.

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  4. Local and regional factors of spatial differentiation of the excess mortality related to the COVID-19 pandemic in Romania. (2023). Muntele, Ionel ; Bnic, Alexandru.
    In: Letters in Spatial and Resource Sciences.
    RePEc:spr:lsprsc:v:16:y:2023:i:1:d:10.1007_s12076-023-00340-0.

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  5. Spatio-temporal variations and contextual factors of the supply of Airbnb in Rome. An initial investigation. (2022). Crisci, Massimiliano ; Rabiei-Dastjerdi, Hamidreza ; McArdle, Gavin ; Benassi, Federico.
    In: Letters in Spatial and Resource Sciences.
    RePEc:spr:lsprsc:v:15:y:2022:i:2:d:10.1007_s12076-022-00302-y.

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  6. Wave after wave: determining the temporal lag in Covid-19 infections and deaths using spatial panel data from Germany. (2022). Fritz, Manuela.
    In: Journal of Spatial Econometrics.
    RePEc:spr:jospat:v:3:y:2022:i:1:d:10.1007_s43071-022-00027-6.

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  7. Population Flow and Epidemic Spread: Direct Impact and Spatial Spillover Effect. (2022). Zhao, YI ; Chen, SI ; Wang, Chunyang ; Zhang, Chao.
    In: SAGE Open.
    RePEc:sae:sagope:v:12:y:2022:i:1:p:21582440211071086.

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  8. The propagation effect of commuting to work in the spatial transmission of COVID-19. (2022). Mitze, Timo ; Kosfeld, Reinhold.
    In: Journal of Geographical Systems.
    RePEc:kap:jgeosy:v:24:y:2022:i:1:d:10.1007_s10109-021-00349-3.

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  9. Urbanization and COVID‐19 incidence: A cross‐country investigation. (2022). González-Val, Rafael ; Gonzalezval, Rafael ; Gracia, Fernando Sanz.
    In: Papers in Regional Science.
    RePEc:bla:presci:v:101:y:2022:i:2:p:399-415.

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  10. Estimating the impact of COVID-19 on the Spanish economy with input-output analysis. (2021). Paton, Fernando Bermejo ; Paos, Eladio Febrero .
    In: Revista Galega de Economía.
    RePEc:sdo:regaec:v:30:y:2021:i:1_5.

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  11. Explaining COVID-19 contagion in Portuguese municipalities using spatial autocorrelation models. (2021). Mourão, Paulo ; Bento, Ricardo ; Mourao, Paulo.
    In: Revista Galega de Economía.
    RePEc:sdo:regaec:v:30:y:2021:i:1_4.

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  12. Mosquitoes, birth rates and regional spillovers: Evidence from the Zika epidemic in Brazil. (2021). Triaca, Lívia ; Ribeiro, Felipe ; Oviedo, Cesar Augusto.
    In: Papers in Regional Science.
    RePEc:bla:presci:v:100:y:2021:i:3:p:795-813.

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  13. The socio-economic catalysers of COVID-19 pandemic. (2020). Hrvoje, Joi.
    In: Croatian Review of Economic, Business and Social Statistics.
    RePEc:vrs:crebss:v:6:y:2020:i:2:p:12-26:n:3.

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  14. Suggestions for a Covid-19 Post-Pandemic Research Agenda in Environmental Economics. (2020). Withagen, Cees ; Schumacher, Ingmar ; Elliott, Robert.
    In: Environmental & Resource Economics.
    RePEc:kap:enreec:v:76:y:2020:i:4:d:10.1007_s10640-020-00478-1.

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  15. Suggestions for a Covid-19 Post-Pandemic Research Agenda in Environmental Economics. (2020). Withagen, Cees ; Schumacher, Ingmar ; Elliott, Robert.
    In: Working Papers.
    RePEc:ipg:wpaper:2020-003.

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  16. The interaction of ethnicity and deprivation on COVID-19 mortality risk: A retrospective ecological study. (2020). Chaudhuri, Kausik ; Bandyopadhyay, Siddhartha ; Lima, Jose Martin ; Chandan, Joht Singh ; Chakrabarti, Anindita.
    In: Discussion Papers.
    RePEc:bir:birmec:20-22.

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  17. Suggestions for a Covid-19 post-pandemic research agenda in environmental economics. (2020). Withagen, Cees ; Schumacher, Ingmar ; Elliott, Robert.
    In: Discussion Papers.
    RePEc:bir:birmec:20-15.

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References

References cited by this document

  1. Anselin, L.: Spatial Econometrics: Methods and Models, vol. 4. Springer, Berlin (2013).
    Paper not yet in RePEc: Add citation now
  2. Bivand, R.S., Gómez-Rubio, V., Rue, H.: Approximate Bayesian inference for spatial econometrics models. Spat. Stat. 9, 146–165 (2014).
    Paper not yet in RePEc: Add citation now
  3. Bivand, R.S., Gómez-Rubio, V., Rue, H.: Spatial data analysis with R-INLA with some extensions. J. Stat. Softw. 063(i20), 1–31 (2015).

  4. Blangiardo, M., Cameletti, M.: Spatial and Spatio-Temporal Bayesian Models with R-INLA. Wiley, Hoboken (2015).
    Paper not yet in RePEc: Add citation now
  5. Chagas, A.L., Carlos, R.A., Almeida, A.: A spatial difference-in-differences analysis of the impact of sugarcane production on respiratory diseases. Reg. Sci. Urban Econ. 59, 24–36 (2016).

  6. Dong, E., Du, H., Gardner, L.: An interactive web-based dashboard to track COVID-19 in real time. Lancet Infect. Dis. 20(5), 533–534 (2020).
    Paper not yet in RePEc: Add citation now
  7. Emch, M., Root, E.D., Giebultowicz, S., Ali, M., Perez-Heydrich, C., Yunus, M.: Integration of spatial and social network analysis in disease transmission studies. Ann. Assoc. Am. Geogr. 102(5), 1004–1015 (2012).
    Paper not yet in RePEc: Add citation now
  8. Fischer, M.M., LeSage, J.P.: A Bayesian space-time approach to identifying and interpreting regional convergence clubs in Europe. Pap. Reg. Sci. 94(4), 677–702 (2015).

  9. Fischer, M.M., Scherngell, T., Jansenberger, E.: The geography of knowledge spillovers between high-technology firms in Europe: evidence from a spatial interaction modelling perspective. Geogr. Anal. 38(3), 288–309 (2006).
    Paper not yet in RePEc: Add citation now
  10. Frühwirth-Schnatter, S., Frühwirth, R., Held, L., Rue, H.: Improved auxiliary mixture sampling for hierarchical models of non-Gaussian data. Stat. Comput. 19(4), 479–492 (2009).
    Paper not yet in RePEc: Add citation now
  11. Gelman, A.: Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper). Bayesian Anal. 1(3), 515–534 (2006).
    Paper not yet in RePEc: Add citation now
  12. Geweke, J.: Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments. In: Bernardo, J.M., Berger, J.O., Dawid, A.P., Smith, A.F.M. (eds.) Bayesian Statistics, 4th edn, pp. 167–193. Oxford University Press, Oxford (1992).
    Paper not yet in RePEc: Add citation now
  13. Gómez-Rubio, V., Bivand, R.S., Rue, H.: Spatial models using Laplace approximation methods. In: Fischer, M.M., Nijkamp, P. (eds.) Handbook of Regional Science, pp. 1401–1417. Springer, Berlin, Heidelberg (2014).

  14. Jagodnik, K., Ray, F., Giorgi, F.M., Lachmann, A.: Correcting under-reported COVID-19 case numbers: estimating the true scale of the pandemic. Preprint medRvix (2020).
    Paper not yet in RePEc: Add citation now
  15. Jaya, I.G.N.M., Folmer, H.: Bayesian spatiotemporal mapping of relative dengue disease risk in Bandung, Indonesia. J. Geogr. Syst. 22(1), 105–142 (2020).

  16. Krantz, S.G., Rao, A.S.R.S.: Level of underreporting including underdiagnosis before the first peak of COVID-19 in various countries: preliminary retrospective results based on wavelets and deterministic modeling. Infect. Control Hosp. Epidemiol. 41(7), 857–861 (2020).
    Paper not yet in RePEc: Add citation now
  17. Krisztin, T., Fischer, M.M.: The gravity model for international trade: specification and estimation issues. Spat. Econ. Anal. 10(4), 451–470 (2015).

  18. LeSage, J.P., Chih, Y.Y.: A matrix exponential spatial panel model with heterogeneous coefficients. Geogr. Anal. 50(4), 422–453 (2018).

  19. LeSage, J.P., Fischer, M.M., Scherngell, T.: Knowledge spillovers across Europe: evidence from a Poisson spatial interaction model with spatial effects. Pap. Reg. Sci. 86(3), 393–421 (2007).

  20. LeSage, J.P., Pace, R.K.: Introduction to Spatial Econometrics. CRC Press, Boca Raton (2009).
    Paper not yet in RePEc: Add citation now
  21. O’Hara, R., Kotze, J.: Do not log-transform count data. Methods Ecol. Evol. 1(2), 118–122 (2010).
    Paper not yet in RePEc: Add citation now
  22. Piribauer, P., Crespo Cuaresma, J.: Bayesian variable selection in spatial autoregressive models. Spat. Econ. Anal. 11(4), 457–479 (2016).

  23. Simpson, D., Rue, H., Riebler, A., Martins, T.G., Sørbye, S.H.: Penalising model component complexity: a principled, practical approach to constructing priors. Stat. Sci. 32(1), 1–28 (2017).
    Paper not yet in RePEc: Add citation now
  24. Wang, H., Du, Z., Wang, X., Liu, Y., Yuan, Z., Liu, Y., Xue, F.: Detecting the association between meteorological factors and hand, foot, and mouth disease using spatial panel data models. Int. J. Infect. Dis. 34, 66–70 (2015).
    Paper not yet in RePEc: Add citation now
  25. Zoller, H.G.: Spatial Econometrics and Spatial Statistics. Palgrave Macmillan, London (2004).
    Paper not yet in RePEc: Add citation now

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  3. A joint Bayesian spatiotemporal risk prediction model of COVID-19 incidence, IC admission, and death with application to Sweden. (2024). Lundberg, Johan ; Folmer, Henk ; Nyoman, Gede I.
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