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A Spatial Dynamic Panel Model with Random Effects Applied to Commuting Times

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Cited by:

  1. Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2019. "A time-space dynamic panel data model with spatial moving average errors," Regional Science and Urban Economics, Elsevier, vol. 76(C), pages 13-31.
  2. repec:rri:wpaper:201303 is not listed on IDEAS
  3. Iris Wanzenböck & Philipp Piribauer, 2018. "R&D networks and regional knowledge production in Europe: Evidence from a space‐time model," Papers in Regional Science, Wiley Blackwell, vol. 97(S1), pages 1-24, March.
  4. Ciccarelli, Carlo & Elhorst, J.Paul, 2018. "A dynamic spatial econometric diffusion model with common factors: The rise and spread of cigarette consumption in Italy," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 131-142.
  5. Manfred M. Fischer & James P. LeSage, 2015. "A Bayesian space-time approach to identifying and interpreting regional convergence clubs in Europe," Papers in Regional Science, Wiley Blackwell, vol. 94(4), pages 677-702, November.
  6. Wang, Yongpei & Yan, Qing & Yang, Jieru & Komonpipat, Supak & Zhang, Qian, 2024. "Can inter-provincial transmission reduce regional carbon emissions? Evidence from China," Energy Policy, Elsevier, vol. 184(C).
  7. LeSage, James P. & Chih, Yao-Yu & Vance, Colin, 2019. "Markov Chain Monte Carlo estimation of spatial dynamic panel models for large samples," Computational Statistics & Data Analysis, Elsevier, vol. 138(C), pages 107-125.
  8. Agnese Vitali & Arnstein Aassve & Trude Lappegård, 2015. "Diffusion of Childbearing Within Cohabitation," Demography, Springer;Population Association of America (PAA), vol. 52(2), pages 355-377, April.
  9. Yu, Binbin & Zhou, Xinru, 2023. "Urban administrative hierarchy and urban land use efficiency: Evidence from Chinese cities," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 178-195.
  10. Kripfganz, Sebastian, 2014. "Unconditional Transformed Likelihood Estimation of Time-Space Dynamic Panel Data Models," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100604, Verein für Socialpolitik / German Economic Association.
  11. Parent, Olivier & LeSage, James P., 2011. "A space-time filter for panel data models containing random effects," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 475-490, January.
  12. Harry H. Kelejian & Gianfranco Piras, 2013. "A J-Test for Panel Models with Fixed Effects, Spatial and Time," Working Papers Working Paper 2013-03, Regional Research Institute, West Virginia University.
  13. Valter Di Giacinto, 2013. "The dynamics of knowledge production in European regions," ERSA conference papers ersa13p543, European Regional Science Association.
  14. Borzou Rostami & Guy Desaulniers & Fausto Errico & Andrea Lodi, 2021. "Branch-Price-and-Cut Algorithms for the Vehicle Routing Problem with Stochastic and Correlated Travel Times," Operations Research, INFORMS, vol. 69(2), pages 436-455, March.
  15. J. Paul Elhorst, 2014. "Dynamic Spatial Panels: Models, Methods and Inferences," SpringerBriefs in Regional Science, in: Spatial Econometrics, edition 127, chapter 0, pages 95-119, Springer.
  16. Hans Dewachter & Romain Houssa & Priscilla Toffano, 2012. "Spatial propagation of macroeconomic shocks in Europe," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 148(2), pages 377-402, June.
  17. Parent, Olivier & LeSage, James P., 2012. "Spatial dynamic panel data models with random effects," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 727-738.
  18. Sotirios Thanos & Maria Kamargianni & Andreas Schäfer, 2018. "Car Travel Demand: Spillovers and Asymmetric Price Effects in a Spatial Setting," Transportation Science, INFORMS, vol. 52(3), pages 621-636, June.
  19. Schmidt, Christoph & Mitze, Timo & Breidenbach, Philipp, 2016. "EU Structural Funds and Regional Income Convergence – A Sobering Experience," CEPR Discussion Papers 11210, C.E.P.R. Discussion Papers.
  20. James LeSage & Yuxue Sheng, 2014. "A spatial econometric panel data examination of endogenous versus exogenous interaction in Chinese province-level patenting," Journal of Geographical Systems, Springer, vol. 16(3), pages 233-262, July.
  21. Edoardo Baldoni & Roberto Esposti, 2018. "Agricultural Productivity in Space - An econometric assessment on Italian farm-level data," Working Papers 428, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  22. Carlo Ciccarelli & Jean Paul Elhorst, 2016. "A Spatial Diffusion Model with Common Factors and an Application to Cigarette Consumption," CEIS Research Paper 381, Tor Vergata University, CEIS, revised 31 May 2016.
  23. Fingleton, Bernard & Szumilo, Nikodem, 2019. "Simulating the impact of transport infrastructure investment on wages: A dynamic spatial panel model approach," Regional Science and Urban Economics, Elsevier, vol. 75(C), pages 148-164.
  24. Katharina Pijnenburg & Konstantin A. Kholodilin, 2014. "Do Regions with Entrepreneurial Neighbours Perform Better? A Spatial Econometric Approach for German Regions," Regional Studies, Taylor & Francis Journals, vol. 48(5), pages 866-882, May.
  25. Bardaka, Eleni & Delgado, Michael S. & Florax, Raymond J.G.M., 2019. "A spatial multiple treatment/multiple outcome difference-in-differences model with an application to urban rail infrastructure and gentrification," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 325-345.
  26. Dubé, Jean & Legros, Diègo & Thériault, Marius & Des Rosiers, François, 2014. "A spatial Difference-in-Differences estimator to evaluate the effect of change in public mass transit systems on house prices," Transportation Research Part B: Methodological, Elsevier, vol. 64(C), pages 24-40.
  27. Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2022. "Robust Dynamic Space-Time Panel Data Models Using ?-Contamination: An Application to Crop Yields and Climate Change," IZA Discussion Papers 15815, Institute of Labor Economics (IZA).
  28. Taşpınar, Süleyman & Doğan, Osman & Bera, Anil K., 2017. "GMM gradient tests for spatial dynamic panel data models," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 65-88.
  29. J. Paul Elhorst, 2014. "Matlab Software for Spatial Panels," International Regional Science Review, , vol. 37(3), pages 389-405, July.
  30. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2023. "Robust dynamic space–time panel data models using $$\varepsilon $$ ε -contamination: an application to crop yields and climate change," Empirical Economics, Springer, vol. 64(6), pages 2475-2509, June.
  31. Manfred M. Fischer & James P. LeSage, 2012. "A Bayesian approach to identifying and interpreting regional convergence clubs in Europe," ERSA conference papers ersa12p217, European Regional Science Association.
  32. Harry H. Kelejian & Gianfranco Piras, 2016. "A J test for dynamic panel model with fixed effects, and nonparametric spatial and time dependence," Empirical Economics, Springer, vol. 51(4), pages 1581-1605, December.
  33. Jean Dubé & Diègo Legros, 2013. "Dealing with spatial data pooled over time in statistical models," Letters in Spatial and Resource Sciences, Springer, vol. 6(1), pages 1-18, March.
  34. LeSage, James P., 2011. "Discussion: Applications and Innovations in Spatial Econometrics," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 43(3), pages 1-5, August.
  35. Giménez-Nadal, J. Ignacio & Molina, José Alberto, 2019. "Green commuting and gasoline taxes in the United States," Energy Policy, Elsevier, vol. 132(C), pages 324-331.
  36. Harry Kelejian, 2014. "Omitted factors and spatial lags in the dependent variable," Letters in Spatial and Resource Sciences, Springer, vol. 7(1), pages 23-33, March.
  37. Cristiana Fiorelli & Alfredo Cartone & Matteo Foglia, 2021. "Shadow rates and spillovers across the Eurozone: a spatial dynamic panel model," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(1), pages 223-245, February.
  38. Yingxia Pu & Xinyi Zhao & Guangqing Chi & Jin Zhao & Fanhua Kong, 2019. "A spatial dynamic panel approach to modelling the space-time dynamics of interprovincial migration flows in China," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(31), pages 913-948.
  39. Cho, Seong-Hoon & Lee, Daegoon & Lambert, Dayton M. & Roberts, Roland K., 2016. "Impacts of Highway Infrastructure Investment Under the American Recovery and Reinvestment Act," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 55(2), August.
  40. Breidenbach, Philipp & Mitze, Timo & Schmidt, Christoph M., 2016. "EU structural funds and regional income convergence: A sobering experience," Ruhr Economic Papers 608, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  41. Solmaria Halleck Vega & J. Paul Elhorst, 2014. "Modelling regional labour market dynamics in space and time," Papers in Regional Science, Wiley Blackwell, vol. 93(4), pages 819-841, November.
  42. Jiang, Shangwei & Jin, Xiu, 2021. "Effects of investor sentiment on stock return volatility: A spatio-temporal dynamic panel model," Economic Modelling, Elsevier, vol. 97(C), pages 298-306.
  43. Álvarez, Inmaculada C. & Gude, Alberto & Orea, Luis, 2019. "Effects of inter-industry and spatial spillovers on regional productivity: Evidence from Spanish panel data," Efficiency Series Papers 2019/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
  44. Gianfranco Piras, 2013. "Efficient GMM Estimation of a Cliff and Ord Panel Data Model with Random Effects," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(3), pages 370-388, September.
  45. Elhorst, J. Paul & Lacombe, Donald J. & Piras, Gianfranco, 2012. "On model specification and parameter space definitions in higher order spatial econometric models," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 211-220.
  46. repec:elg:eechap:14395_1 is not listed on IDEAS
  47. James LeSage & Matthew Dominguez, 2012. "The importance of modeling spatial spillovers in public choice analysis," Public Choice, Springer, vol. 150(3), pages 525-545, March.
  48. Ye Yang & Osman Doğan & Süleyman Taşpınar, 2023. "Observed-data DIC for spatial panel data models," Empirical Economics, Springer, vol. 64(3), pages 1281-1314, March.
  49. Viego, Valentina N. & Temporelli , Karina L., 2011. "Sobrepeso y obesidad en Argentina. Un análisis basado en técnicas de econometría espacial/Overweigh and Obesity in Argentina. A Spatial Approach," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 29, pages 915(26á)-91, Diciembre.
  50. J. Paul Elhorst, 2022. "The dynamic general nesting spatial econometric model for spatial panels with common factors: Further raising the bar," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 42(3), pages 249-267, December.
  51. Baylis, Katherine R. & Paulson, Nicholas D. & Piras, Gianfranco, 2011. "Spatial Approaches to Panel Data in Agricultural Economics: A Climate Change Application," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 43(3), pages 1-14, August.
  52. Viego, Valentina & Temporelli, Karina, 2010. "Econometría espacial: una aplicación a los problemas de sobrepeso y obesidad en las provincias de Argentina [Spatial econometrics: an application to obesity indicators in Argentinian provinces]," MPRA Paper 26878, University Library of Munich, Germany.
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