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Jihai Yu

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Zhenlin Yang & Jihai Yu & Shew Fan Liu, 2015. "Bias correction for fixed effects spatial panel data models," Working Papers 04-2015, Singapore Management University, School of Economics.

    Cited by:

    1. 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.
    2. Ayden Higgins & Federico Martellosio, 2019. "Shrinkage Estimation of Network Spillovers with Factor Structured Errors," Papers 1909.02823, arXiv.org, revised Nov 2021.
    3. Sarafidis, Vasilis, 2016. "Neighbourhood GMM estimation of dynamic panel data models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 526-544.
    4. Li, Liyao & Yang, Zhenlin, 2018. "Spatial Dynamic Panel Data Models with Correlated Random Effects," Economics and Statistics Working Papers 15-2018, Singapore Management University, School of Economics.
    5. Kwok, Hon Ho, 2019. "Identification and estimation of linear social interaction models," Journal of Econometrics, Elsevier, vol. 210(2), pages 434-458.
    6. Qu, Xi & Lee, Lung-fei & Yu, Jihai, 2017. "QML estimation of spatial dynamic panel data models with endogenous time varying spatial weights matrices," Journal of Econometrics, Elsevier, vol. 197(2), pages 173-201.
    7. Yang, Zhenlin & Yu, Jihai & Liu, Shew Fan, 2016. "Bias correction and refined inferences for fixed effects spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 52-72.

Articles

  1. Lung-fei Lee & Jihai Yu, 2020. "Initial conditions of dynamic panel data models: on within and between equations [Efficient estimation of models for dynamic panel data]," The Econometrics Journal, Royal Economic Society, vol. 23(1), pages 115-136.

    Cited by:

    1. Anna Gloria Billé & Marco Rogna, 2022. "The effect of weather conditions on fertilizer applications: A spatial dynamic panel data analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 3-36, January.
    2. Sung, Bongsuk & Soh, Jin Young & Park, Chun Gun, 2022. "Comparing government support, firm heterogeneity, and inter-firm spillovers for productivity enhancement: Evidence from the Korean solar energy technology industry," Energy, Elsevier, vol. 246(C).
    3. Maria Elena Bontempi & Jan Ditzen, 2023. "GMM-lev estimation and individual heterogeneity: Monte Carlo evidence and empirical applications," Papers 2312.00399, arXiv.org, revised Dec 2023.

  2. Jin, Fei & Lee, Lung-fei & Yu, Jihai, 2020. "First difference estimation of spatial dynamic panel data models with fixed effects," Economics Letters, Elsevier, vol. 189(C).

    Cited by:

    1. Sung, Bongsuk & Soh, Jin Young & Park, Chun Gun, 2022. "Comparing government support, firm heterogeneity, and inter-firm spillovers for productivity enhancement: Evidence from the Korean solar energy technology industry," Energy, Elsevier, vol. 246(C).
    2. Mengqi Zhang & Boping Tian, 2023. "Estimation of the Non-Parametric Spatial Dynamic Panel Data Model with Fixed Effects," Mathematics, MDPI, vol. 11(13), pages 1-23, June.

  3. Zhang, Xinyu & Yu, Jihai, 2018. "Spatial weights matrix selection and model averaging for spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 203(1), pages 1-18.

    Cited by:

    1. Yong Bao & Xiaotian Liu & Lihong Yang, 2020. "Indirect Inference Estimation of Spatial Autoregressions," Econometrics, MDPI, vol. 8(3), pages 1-26, September.
    2. Jun Zhang & Shenghao Zhao & Chaonan Peng & Xianming Gong, 2022. "Spatial Heterogeneity of the Recovery of Road Traffic Volume from the Impact of COVID-19: Evidence from China," Sustainability, MDPI, vol. 14(21), pages 1-20, November.
    3. Michele Costola & Matteo Iacopini & Casper Wichers, 2023. "Bayesian SAR model with stochastic volatility and multiple time-varying weights," Papers 2310.17473, arXiv.org.
    4. Xi Wu & Adam Blake, 2023. "Does the combination of models with different explanatory variables improve tourism demand forecasting performance?," Tourism Economics, , vol. 29(8), pages 2032-2056, December.
    5. Maria Lucia Parrella & Giuseppina Albano & Cira Perna & Michele La Rocca, 2021. "Bootstrap joint prediction regions for sequences of missing values in spatio-temporal datasets," Computational Statistics, Springer, vol. 36(4), pages 2917-2938, December.
    6. Ryan Greenaway-McGrevy & Kade Sorensen, 2021. "A spatial model averaging approach to measuring house prices," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-32, December.
    7. Hongjie Bao & Ling Shan & Yufei Wang & Yuehua Jiang & Cheonjae Lee & Xufeng Cui, 2021. "How Does Local Real Estate Investment Influence Neighborhood PM 2.5 Concentrations? A Spatial Econometric Analysis," Land, MDPI, vol. 10(5), pages 1-21, May.
    8. Ayden Higgins & Federico Martellosio, 2019. "Shrinkage Estimation of Network Spillovers with Factor Structured Errors," Papers 1909.02823, arXiv.org, revised Nov 2021.
    9. Julián Ramajo & Alejandro Ricci-Risquete & Lourdes Jerez & Geoffrey J. D. Hewings, 2020. "Impacts of Neighbors on Local Tax Rates: A Space–Time Dynamic Panel Data Analysis," International Regional Science Review, , vol. 43(1-2), pages 105-127, January.
    10. Qin, Chang-Xiong & Liu, Zhao, 2022. "Reference price effect of partially similar online products in the consideration stage," Journal of Business Research, Elsevier, vol. 152(C), pages 70-81.
    11. Liao, Jun & Wan, Alan T.K. & He, Shuyuan & Zou, Guohua, 2022. "Optimal model averaging for multivariate regression models," Journal of Multivariate Analysis, Elsevier, vol. 189(C).
    12. Christian Glocker & Matteo Iacopini & Tam'as Krisztin & Philipp Piribauer, 2023. "A Bayesian Markov-switching SAR model for time-varying cross-price spillovers," Papers 2310.19557, arXiv.org.
    13. Wei Qian & Craig A. Rolling & Gang Cheng & Yuhong Yang, 2019. "On the Forecast Combination Puzzle," Econometrics, MDPI, vol. 7(3), pages 1-26, September.
    14. Christos Agiakloglou & Apostolos Tsimpanos, 2023. "Evaluating the performance of AIC and BIC for selecting spatial econometric models," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-35, December.
    15. Qian, Wei & Rolling, Craig A. & Cheng, Gang & Yang, Yuhong, 2022. "Combining forecasts for universally optimal performance," International Journal of Forecasting, Elsevier, vol. 38(1), pages 193-208.
    16. Song, Yunquan & Liang, Xijun & Zhu, Yanji & Lin, Lu, 2021. "Robust variable selection with exponential squared loss for the spatial autoregressive model," Computational Statistics & Data Analysis, Elsevier, vol. 155(C).
    17. Kassoum Ayouba, 2023. "Spatial dependence in production frontier models," Journal of Productivity Analysis, Springer, vol. 60(1), pages 21-36, August.
    18. Greenaway-McGrevy, Ryan, 2022. "Forecast combination for VARs in large N and T panels," International Journal of Forecasting, Elsevier, vol. 38(1), pages 142-164.
    19. Haiyan Lu & Yanqiang Wei & Suchang Yang & Yunwei Liu, 2020. "Regional spatial patterns and influencing factors of environmental auditing for sustainable development: summaries and illuminations from international experiences," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(4), pages 3577-3597, April.
    20. Higgins, Ayden & Martellosio, Federico, 2023. "Shrinkage estimation of network spillovers with factor structured errors," Journal of Econometrics, Elsevier, vol. 233(1), pages 66-87.
    21. Elżbieta Antczak & Karolina Lewandowska-Gwarda, 2019. "How Fast Is Europe Getting Old? Analysis of Dynamics Applying the Spatial Shift–Share Approach," Sustainability, MDPI, vol. 11(20), pages 1-21, October.
    22. Hanno Reuvers & Etienne Wijler, 2021. "Sparse Generalized Yule-Walker Estimation for Large Spatio-temporal Autoregressions with an Application to NO2 Satellite Data," Papers 2108.02864, arXiv.org, revised Dec 2021.

  4. Ho, Chun-Yu & Wang, Wei & Yu, Jihai, 2018. "International knowledge spillover through trade: A time-varying spatial panel data approach," Economics Letters, Elsevier, vol. 162(C), pages 30-33.

    Cited by:

    1. Uwe Cantner & Martin Kalthaus & Matthias Menter & Pierre Mohnen, 2023. "Global knowledge flows: characteristics, determinants, and impacts," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 32(5), pages 1063-1076.
    2. Emediegwu, Lotanna E. & Wossink, Ada & Hall, Alastair, 2022. "The impacts of climate change on agriculture in sub-Saharan Africa: A spatial panel data approach," World Development, Elsevier, vol. 158(C).
    3. Haoqiang Li & Jihong Chen & Zheng Wan & Huaxin Zhang & Maoxin Wang & Yun Bai, 2020. "Spatial evaluation of knowledge spillover benefits in China’s free trade zone provinces and cities," Growth and Change, Wiley Blackwell, vol. 51(3), pages 1158-1181, September.
    4. Mahyudin Ahmad & Stephen G. Hall, 2023. "The growth effects of economic and political institutions: new evidence from spatial econometrics analysis using historical-based institutional matrix," Economic Change and Restructuring, Springer, vol. 56(2), pages 749-780, April.
    5. Yuanyuan Mao & Lingli Hou & Zhengdong Zhang, 2021. "Spatial-Temporal Evolution and Relationship between Urbanization Level and Ecosystem Service from a Dual-Scale Perspective: A Case Study of the Pearl River Delta Urban Agglomeration," Sustainability, MDPI, vol. 13(15), pages 1-20, July.
    6. Yang, Lisha & Ni, Mengying, 2022. "Is financial development beneficial to improve the efficiency of green development? Evidence from the “Belt and Road” countries," Energy Economics, Elsevier, vol. 105(C).
    7. Valeria Costantini & Valerio Leone Sciabolazza & Elena Paglialunga, 2023. "Network-driven positive externalities in clean energy technology production: the case of energy efficiency in the EU residential sector," The Journal of Technology Transfer, Springer, vol. 48(2), pages 716-748, April.
    8. Yin, Zhonghua & Wang, Fang & Gan, Jianbang, 2020. "Spatial spillover effects of global forest product trade," Forest Policy and Economics, Elsevier, vol. 113(C).
    9. Liu, Weilin & Cheng, Qian & Sickles, Robin C., 2022. "Productivity Growth and Spillovers across European Industries: A Global Value Chain Perspective Based on EURO KLEMS," Working Papers 22-001, Rice University, Department of Economics.
    10. Alvina Sabah Idrees & Saima Sarwar, 2023. "Spatial convergence clubs and innovation persistence: a country-group comparison of international spatial spillover of innovation capabilities," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4121-4152, October.
    11. Shi, Qiaoling & Shan, Yuli & Zhong, Chao & Cao, Ye & Xue, Rui, 2022. "How would GVCs participation affect carbon intensity in the “Belt and Road Initiative” countries?," Energy Economics, Elsevier, vol. 111(C).
    12. Ahmad, Mahyudin & Siong Hook, Law, 2022. "Financial development, institutions, and economic growth nexus: A spatial econometrics analysis using geographical and institutional proximities," MPRA Paper 114471, University Library of Munich, Germany.
    13. Aidara, Khadidiatou & Fall, Founty A. & Seck, Abdoulaye, 2019. "Is Africa an Economic Space?," Conference papers 333021, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    14. Wang, Kunlun & Zheng, Leven J. & Zhang, Justin Zuopeng & Yao, Hongjiang, 2022. "The impact of promoting new energy vehicles on carbon intensity: Causal evidence from China," Energy Economics, Elsevier, vol. 114(C).
    15. Dai, Lu & Zhang, Jiajun & Luo, Shougui, 2022. "Effective R&D capital and total factor productivity: Evidence using spatial panel data models," Technological Forecasting and Social Change, Elsevier, vol. 183(C).

  5. Qu, Xi & Lee, Lung-fei & Yu, Jihai, 2017. "QML estimation of spatial dynamic panel data models with endogenous time varying spatial weights matrices," Journal of Econometrics, Elsevier, vol. 197(2), pages 173-201.

    Cited by:

    1. Jieun Lee, 2022. "Testing Endogeneity of Spatial Weights Matrices in Spatial Dynamic Panel Data Models," Papers 2209.05563, arXiv.org.
    2. Herrera Gómez, Marcos, 2017. "Fundamentos de Econometría Espacial Aplicada [Fundamentals of Applied Spatial Econometrics]," MPRA Paper 80871, University Library of Munich, Germany.
    3. Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.
    4. Bera, Anil K. & Doğan, Osman & Taşpınar, Süleyman, 2018. "Simple tests for endogeneity of spatial weights matrices," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 130-142.
    5. Bera Anil K. & Doğan Osman & Taşpınar Süleyman, 2019. "Testing Spatial Dependence in Spatial Models with Endogenous Weights Matrices," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-33, January.
    6. Jie Liu & Chao Bi, 2019. "Effects of Higher Education Levels on Total Factor Productivity Growth," Sustainability, MDPI, vol. 11(6), pages 1-12, March.
    7. Lee, Jiyon, 2018. "A spatial latent class model," Economics Letters, Elsevier, vol. 162(C), pages 62-68.
    8. Giuseppe Arbia & Anil K. Bera & Osman Doğan & Süleyman Taşpınar, 2020. "Testing Impact Measures in Spatial Autoregressive Models," International Regional Science Review, , vol. 43(1-2), pages 40-75, January.
    9. Li, Jianan & Han, Xiaoyi, 2019. "Bayesian Lassos for spatial durbin error model with smoothness prior: Application to detect spillovers of China's treaty ports," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 38-74.
    10. Monica Billio & Massimiliano Caporin & Lorenzo Frattarolo & Loriana Pelizzon, 2016. "Networks in risk spillovers: a multivariate GARCH perspective," Working Papers 2016:03, Department of Economics, University of Venice "Ca' Foscari".
    11. 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.
    12. Ma, Yingying & Guo, Shaojun & Wang, Hansheng, 2023. "Sparse spatio-temporal autoregressions by profiling and bagging," Journal of Econometrics, Elsevier, vol. 232(1), pages 132-147.
    13. Qu, Xi & Lee, Lung-fei & Yang, Chao, 2021. "Estimation of a SAR model with endogenous spatial weights constructed by bilateral variables," Journal of Econometrics, Elsevier, vol. 221(1), pages 180-197.
    14. Sophie Béreau & Nicolas Debarsy & Cyrille Dossougoin & Jean-Yves Gnabo, 2022. "Contagion in the Banking Industry: a Robust-to-Endogeneity Analysis," Working Papers halshs-03513049, HAL.
    15. Danqing Chen & Jianbao Chen & Shuangshuang Li, 2021. "Instrumental Variable Quantile Regression of Spatial Dynamic Durbin Panel Data Model with Fixed Effects," Mathematics, MDPI, vol. 9(24), pages 1-24, December.
    16. Xiaoling Wang & Hongling Yu & Peng Lv & Cheng Wang & Jun Zhang & Jia Yu, 2019. "Seepage Safety Assessment of Concrete Gravity Dam Based on Matter-Element Extension Model and FDA," Energies, MDPI, vol. 12(3), pages 1-21, February.
    17. Pouliot, Guillaume Allaire, 2023. "Spatial econometrics for misaligned data," Journal of Econometrics, Elsevier, vol. 232(1), pages 168-190.
    18. Jeong, Hanbat & Lee, Lung-fei, 2021. "Spatial dynamic game models for coevolution of intertemporal economic decision-making and spatial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    19. Kong, Wei & Yang, Kai, 2021. "Efficient GMM estimation of a spatial autoregressive model with an endogenous spatial weights matrix," Economics Letters, Elsevier, vol. 208(C).
    20. Huijuan Xiao & Sheng Bao & Jingzheng Ren & Zhenci Xu & Song Xue & Jianguo Liu, 2024. "Global transboundary synergies and trade-offs among Sustainable Development Goals from an integrated sustainability perspective," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    21. Guillaume Allaire Pouliot, 2022. "Spatial Econometrics for Misaligned Data," Papers 2207.04082, arXiv.org.
    22. Dai, Lu & Zhang, Jiajun & Luo, Shougui, 2022. "Effective R&D capital and total factor productivity: Evidence using spatial panel data models," Technological Forecasting and Social Change, Elsevier, vol. 183(C).

  6. Yu, Jihai & Zhou, Li-An & Zhu, Guozhong, 2016. "Strategic interaction in political competition: Evidence from spatial effects across Chinese cities," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 23-37.

    Cited by:

    1. Yang Shen & Jing Wu & Shuping Wu, 2022. "City‐chief turnover and place‐based policy change: Evidence from China," Journal of Regional Science, Wiley Blackwell, vol. 62(5), pages 1296-1328, November.
    2. Hanming Fang & Jing Wu & Rongjie Zhang & Li-An Zhou, 2022. "Anti-Corruption Campaign and the Resurgence of the SOEs in China:Evidence from the Real Estate Sector," PIER Working Paper Archive 22-020, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    3. Xintong Yang & Yu Zhang & Qi Li, 2021. "The role of price spillovers: what is different in China," Empirical Economics, Springer, vol. 60(1), pages 459-485, January.
    4. Danxia Zhang & Juanfeng Zhang & Rui Han & Dongsheng Zhan, 2022. "Two‐stage development, allocation strategies' effect, and industrial land policies' adjustment, China," Growth and Change, Wiley Blackwell, vol. 53(2), pages 890-909, June.
    5. Hanming Fang & Ming Li & Zenan Wu, 2022. "Tournament-Style Political Competition and Local Protectionism: Theory and Evidence from China," NBER Working Papers 30780, National Bureau of Economic Research, Inc.
    6. Kang, Jijun & Yu, Chenyang & Xue, Rui & Yang, Dong & Shan, Yuli, 2022. "Can regional integration narrow city-level energy efficiency gap in China?," Energy Policy, Elsevier, vol. 163(C).
    7. Wei Xiong, 2018. "The Mandarin Model of Growth," NBER Working Papers 25296, National Bureau of Economic Research, Inc.
    8. Huang, Hongyun & Wang, Fengrong & Song, Malin & Balezentis, Tomas & Streimikiene, Dalia, 2021. "Green innovations for sustainable development of China: Analysis based on the nested spatial panel models," Technology in Society, Elsevier, vol. 65(C).
    9. He, Zhenyu & Tang, Yuwei, 2023. "Local environmental constraints and firms’ export product quality: Evidence from China," Economic Modelling, Elsevier, vol. 124(C).
    10. Fu, Shihe & Viard, V. Brian, 2021. "A Mayor’s Perspective on Tackling Air Pollution," MPRA Paper 107434, University Library of Munich, Germany.
    11. Danqing Wang & Zhitao Zhu & Shuo Chen & Xiaowei Rose Luo, 2021. "Running out of steam? A political incentive perspective of FDI inflows in China," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(4), pages 692-717, June.
    12. Can Zhang & Tengfei Liu & Jixia Li & Mengzhi Xu & Xu Li & Huachun Wang, 2023. "Economic Growth Target, Government Expenditure Behavior, and Cities’ Ecological Efficiency—Evidence from 284 Cities in China," Land, MDPI, vol. 12(1), pages 1-30, January.
    13. Tinghui Wang & Qi Fu & Yue Wang & Mengfan Gao & Jinhua Chen, 2022. "The Interaction Mechanism of Fiscal Pressure, Local Government Behavioral Preferences and Environmental Governance Efficiency: Evidence from the Yangtze River Delta Region of China," IJERPH, MDPI, vol. 19(24), pages 1-22, December.
    14. Zhangsheng Liu & Binbin Lai & Shuangyin Wu & Xiaotian Liu & Qunhong Liu & Kun Ge, 2022. "Growth Targets Management, Regional Competition and Urban Land Green Use Efficiency According to Evidence from China," IJERPH, MDPI, vol. 19(10), pages 1-21, May.
    15. Yongze Yu & Zhe Wang & Dayong Liu & Liping Fu, 2021. "Changes in officials, total factor productivity fluctuation and government transformation: Evidence from Chinese prefecture cities," Pacific Economic Review, Wiley Blackwell, vol. 26(2), pages 283-299, May.
    16. Jiang, Yi & Calub, Renz Adrian & Zheng, Xiaoting, 2019. "Water Tariff Setting and Its Welfare Implications: Evidence from Cities in the People’s Republic of China," ADB Economics Working Paper Series 580, Asian Development Bank.
    17. Kate Hynes & Yongzheng Liu & Jie Ma & Ian Wooton, 2022. "Tax competition for FDI: China’s exceptional approach," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 29(3), pages 788-809, June.
    18. Mengkai Chen & Ting Chen & Debao Ruan & Xiaowei Wang, 2023. "Land Finance, Real Estate Market, and Local Government Debt Risk: Evidence from China," Land, MDPI, vol. 12(8), pages 1-18, August.
    19. Yutian Yang, 2022. "Does economic growth induce smoking?—Evidence from China," Empirical Economics, Springer, vol. 63(2), pages 821-845, August.
    20. Zhang, Cheng & Zhou, Bo & Tian, Xuan, 2022. "Political connections and green innovation: The role of a corporate entrepreneurship strategy in state-owned enterprises," Journal of Business Research, Elsevier, vol. 146(C), pages 375-384.
    21. Tang, Pengcheng & Yang, Shuwang & Shen, Jun & Fu, Shuke, 2018. "Does China's low-carbon pilot programme really take off? Evidence from land transfer of energy-intensive industry," Energy Policy, Elsevier, vol. 114(C), pages 482-491.
    22. Guo, Yuchen & Yuan, Yu, 2022. "Assessing the energy resources policy agenda: Evidence from China's green express policy," Resources Policy, Elsevier, vol. 79(C).
    23. Li, Jianan & Han, Xiaoyi, 2019. "Bayesian Lassos for spatial durbin error model with smoothness prior: Application to detect spillovers of China's treaty ports," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 38-74.
    24. Liang, Quanxi & Li, Qiumei & Lu, Meiting & Shan, Yaowen, 2021. "Industry and geographic peer effects on corporate tax avoidance: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    25. Liu, Yongzheng & Zhang, Xiaoge, 2023. "Environmental regulation, political incentives, and mortality in China," European Journal of Political Economy, Elsevier, vol. 78(C).
    26. Chen, Shuo & Qiao, Xue & Zhu, Zhitao, 2021. "Chasing or cheating? Theory and evidence on China's GDP manipulation," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 657-671.
    27. Jerome Segura III, 2017. "The effect of state and local taxes on economic growth: A spatial dynamic panel approach," Papers in Regional Science, Wiley Blackwell, vol. 96(3), pages 627-645, August.
    28. Jason Barr & Jingshu Luo, 2021. "Growing Skylines: The Economic Determinants of Skyscrapers in China," The Journal of Real Estate Finance and Economics, Springer, vol. 63(2), pages 210-248, August.
    29. Gao, Ya & Li, Bing & Sun, Weizeng, 2023. "Resource curse on innovation: A perspective on local mining industry monopolies in resource-based cities in China," China Economic Review, Elsevier, vol. 81(C).
    30. Zhang, Zhenbo & Wang, Jingwen, 2022. "Undermining or remodeling: Effects of leadership rotation on the effectiveness of authoritarian environmentalism in China," Energy Policy, Elsevier, vol. 161(C).
    31. Jelena Stankoviæ & Marija Džuniæ & Željko Džuniæ & Srðan Marinkoviæ, 2017. "A multi-criteria evaluation of the European cities’ smart performance: Economic, social and environmental aspects," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 35(2), pages 519-550.
    32. Li, Liyao & Yang, Zhenlin, 2018. "Spatial Dynamic Panel Data Models with Correlated Random Effects," Economics and Statistics Working Papers 15-2018, Singapore Management University, School of Economics.
    33. Lingyun He & Nini Chen, 2022. "Turnover of Local Government Officials and Local Air Quality," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(4), pages 100-121, July.
    34. Liangen Zeng, 2022. "The Driving Mechanism of Urban Land Green Use Efficiency in China Based on the EBM Model with Undesirable Outputs and the Spatial Dubin Model," IJERPH, MDPI, vol. 19(17), pages 1-20, August.
    35. Liu, Yuanyuan & Liu, Guanchun & Zhang, Chengsi, 2021. "Local land supply and fiscal incentives for R&D: Evidence from a quasi-natural experiment in China," China Economic Review, Elsevier, vol. 68(C).
    36. Zhou, Lin & Tian, Li & Gao, Yuan & Ling, Yingkai & Fan, Chenjing & Hou, Deyi & Shen, Tiyan & Zhou, Wentong, 2019. "How did industrial land supply respond to transitions in state strategy? An analysis of prefecture-level cities in China from 2007 to 2016," Land Use Policy, Elsevier, vol. 87(C).
    37. Huang, Hongyun & Mo, Renbian & Chen, Xingquan, 2021. "New patterns in China's regional green development: An interval Malmquist–Luenberger productivity analysis," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 161-173.
    38. Xuan Liang & Tao Zou, 2023. "Quasi-Score Matching Estimation for Spatial Autoregressive Model with Random Weights Matrix and Regressors," Papers 2305.19721, arXiv.org.
    39. Mao, Jie & Wang, Chunhua & Yin, Haitao, 2023. "Corporate responses to air quality regulation: Evidence from a regional environmental policy in China," Regional Science and Urban Economics, Elsevier, vol. 98(C).
    40. Yuan, Hang & Guan, Zhihua & Jiang, Changmin & Yang, Hangjun, 2023. "Peer effect in the construction of China’s high-speed rail stations: Empirical evidence from spatial econometric analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    41. Zhu, Yanli & Han, Xiaoyi & Chen, Ying, 2020. "Bayesian estimation and model selection of threshold spatial Durbin model," Economics Letters, Elsevier, vol. 188(C).
    42. Liu, Guanchun & Zhang, Chengsi & Zhu, Yueteng, 2020. "The interest group theory of banking sector expansion in China: Evidence from a quasi-natural experiment," Journal of International Money and Finance, Elsevier, vol. 107(C).
    43. Jiale Zhou & Xiaofen Yu & Xizan Jin & Nuannuan Mao, 2021. "Government Competition, Land Supply Structure and Semi-Urbanization in China," Land, MDPI, vol. 10(12), pages 1-29, December.
    44. Yu Bai & Yanjun Li, 2022. "Political tournaments and regional growth‐enhancing policies: Evidence from Chinese prefectures," Journal of Regional Science, Wiley Blackwell, vol. 62(5), pages 1358-1385, November.
    45. Tang, Pengcheng & Yang, Shuwang & Fu, Shuke, 2018. "Do political incentive affects China's land transfer in energy-intensive industries?," Energy, Elsevier, vol. 164(C), pages 550-559.
    46. Haichao Fan & Cui Hu & Faqin Lin & Huanhuan Wang, 2022. "Trade liberalization and decentralization of state‐owned enterprises: Evidence from China," Economic Inquiry, Western Economic Association International, vol. 60(1), pages 224-246, January.
    47. Xueping Wu & Ming Gao & Shihong Guo & Wei Li, 2019. "Effects of environmental regulation on air pollution control in China: a spatial Durbin econometric analysis," Journal of Regulatory Economics, Springer, vol. 55(3), pages 307-333, June.
    48. Jiang, Fei & Kong, Dongmin & Lu, Zhengfei & Ma, Yongqiang & Yi, Yang, 2023. "Geographic dispersion and corporate resilience during the COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 88(C).
    49. Yanan Li & Ravi Kanbur & Carl Lin, 2019. "Minimum Wage Competition between Local Governments in China," Journal of Development Studies, Taylor & Francis Journals, vol. 55(12), pages 2479-2494, December.
    50. Wang, Shoukun, 2016. "China's interregional capital mobility: A spatial econometric estimation," China Economic Review, Elsevier, vol. 41(C), pages 114-128.
    51. Chih, Yao-Yu & Demir, Firat & Hu, Chenghao & Liu, Junyi & Shen, Hewei, 2023. "A spatial analysis of local corruption on foreign direct investment: Evidence from Chinese cities," European Journal of Political Economy, Elsevier, vol. 79(C).
    52. Keqiang Wang & Jianglin Lu & Hongmei Liu, 2023. "How Does Spatial Injustice Affect Residents’ Policy Acceptance of the Economic–Social–Ecological Objectives of Construction Land Reduction?," IJERPH, MDPI, vol. 20(4), pages 1-19, February.
    53. Chengming Li & Han Shi & Liangen Zeng & Xiaomeng Dong, 2022. "How Strategic Interaction of Innovation Policies between China’s Regional Governments Affects Wind Energy Innovation," Sustainability, MDPI, vol. 14(5), pages 1-20, February.
    54. Bin Wu & Xuefei Xu & Zhenzhong Feng, 2018. "Investment Promotion, Fiscal Competition and Economic Growth Sustainability," Sustainability, MDPI, vol. 10(1), pages 1-12, January.
    55. Chuansheng Wu & Weixuan Fan & Lingling Qi & Levent Kutlu, 2023. "Study on the Effectiveness of Environmental Regulations and Its Spatial Spillover in China’s High-Quality Human Habitat Cities," Sustainability, MDPI, vol. 15(13), pages 1-23, July.
    56. Yujing Huang, 2022. "The Impact of Government Official Assessment on Ecological Poverty Alleviation: Evidence from Chinese Listed Companies," IJERPH, MDPI, vol. 19(6), pages 1-19, March.
    57. Guilhot, Laëtitia, 2022. "An analysis of China's energy policy from 1981 to 2020: Transitioning towards to a diversified and low-carbon energy system," Energy Policy, Elsevier, vol. 162(C).
    58. Liu, Dayong & Xu, Chunfa & Yu, Yongze & Rong, Kaijian & Zhang, Junyan, 2020. "Economic growth target, distortion of public expenditure and business cycle in China," China Economic Review, Elsevier, vol. 63(C).
    59. Qu, Xi & Xu, Zhiwei & Yu, Jinxiang & Zhu, Jun, 2023. "Understanding local government debt in China: A regional competition perspective," Regional Science and Urban Economics, Elsevier, vol. 98(C).
    60. Raju Mainali, 2021. "Spatial Fiscal Interactions in Colombian Municipalities: Evidence from Oil Price Shocks," JRFM, MDPI, vol. 14(6), pages 1-15, June.
    61. Hongji Xie & Cunzhi Tian & Fangying Pang, 2023. "Multi-Tasking Policy Coordination and Corporate Environmental Performance: Evidence from China," IJERPH, MDPI, vol. 20(2), pages 1-22, January.
    62. Wang, Jian & Wu, Qun & Yan, Siqi & Guo, Guancheng & Peng, Shangui, 2020. "China’s local governments breaking the land use planning quota: A strategic interaction perspective," Land Use Policy, Elsevier, vol. 92(C).
    63. Yin, Hongying & Jin, Xin & Quan, Xiaofeng & Yu, Junli, 2022. "Does social network improve corporate financing efficiency? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    64. Tang, Pengcheng & Jiang, Qisheng & Mi, Lili, 2021. "One-vote veto: The threshold effect of environmental pollution in China's economic promotion tournament," Ecological Economics, Elsevier, vol. 185(C).
    65. Cong Yu & Linke Hou & Yuxia Lyu & Qi Zhang, 2022. "Political competition, spatial interactions, and default risk of local government debts in China," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 717-743, June.
    66. Wang, Yuan & Hui, Eddie Chi-man, 2017. "Are local governments maximizing land revenue? Evidence from China," China Economic Review, Elsevier, vol. 43(C), pages 196-215.
    67. Han, Xiaoyi & Hsieh, Chih-Sheng & Lee, Lung-fei, 2017. "Estimation and model selection of higher-order spatial autoregressive model: An efficient Bayesian approach," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 97-120.
    68. Frank M. Fossen & Lukas Mergele & Nicolas Pardo, 2017. "Fueling fiscal interactions: commodity price shocks and local government spending in Colombia," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(4), pages 616-651, August.
    69. Lu, Jiaxuan, 2023. "The economics of China’s between-city height competition: A regression discontinuity approach," Regional Science and Urban Economics, Elsevier, vol. 100(C).
    70. Yu, Jixiang & Shen, Kunrong, 2022. "Incentive effects of tournament size optimization on local officials in China," Journal of Asian Economics, Elsevier, vol. 83(C).
    71. Shi, Xiangyu & Xi, Tianyang, 2018. "Race to safety: Political competition, neighborhood effects, and coal mine deaths in China," Journal of Development Economics, Elsevier, vol. 131(C), pages 79-95.
    72. Weiteng Shen & Qiuguang Hu & Xuan Yu & Bernadette Tadala Imwa, 2020. "Does Coastal Local Government Competition Increase Coastal Water Pollution? Evidence from China," IJERPH, MDPI, vol. 17(18), pages 1-18, September.
    73. Yanan Li & Chunbing Xing, 2020. "Structural transformation, inequality, and inclusive growth in China," WIDER Working Paper Series wp-2020-33, World Institute for Development Economic Research (UNU-WIDER).
    74. Xiulin Qi & Xin Wang & Xiao Jin & Zhenyu M. Wang & Beibei Zhang & Chuanhao Wen, 2021. "Will Policy Uncertainty Deteriorate Haze Pollution? A Spatial Spillover Perspective," IJERPH, MDPI, vol. 18(19), pages 1-16, September.
    75. Hao, Rubin & Liao, Guanmin & Ding, Wenhong & Guan, Wei, 2022. "The informativeness of regional GDP announcements: Evidence from China," Journal of Empirical Finance, Elsevier, vol. 67(C), pages 78-99.
    76. Shun‐ichiro Bessho & Yoko Ibuka, 2019. "Interdependency in vaccination policies among Japanese municipalities," Health Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 299-310, February.

  7. Yang, Zhenlin & Yu, Jihai & Liu, Shew Fan, 2016. "Bias correction and refined inferences for fixed effects spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 52-72.

    Cited by:

    1. Xu, Yuhong & Yang, Zhenlin, 2020. "Specification Tests for Temporal Heterogeneity in Spatial Panel Data Models with Fixed Effects," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    2. Christoph Strumann, 2019. "Hodges–Lehmann Estimation of Static Panel Models with Spatially Correlated Disturbances," Computational Economics, Springer;Society for Computational Economics, vol. 53(1), pages 141-168, January.
    3. Badi H. Baltagi & Alain Pirotte & Zhenlin Yang, 2021. "Diagnostic tests for homoskedasticity in spatial cross-sectional or panel models," Post-Print hal-04120461, HAL.

  8. P. Elhorst & M. Abreu & P. Amaral & A. Bhattacharjee & L. Corrado & B. Fingleton & F. Fuerst & H. Garretsen & D. Igliori & J. Le Gallo & P. McCann & V. Monastiriotis & G. Pryce & J. Yu, 2016. "Raising the bar (1)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(1), pages 1-6, March.

    Cited by:

    1. 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.

  9. Lung‐fei Lee & Jihai Yu, 2016. "Identification of Spatial Durbin Panel Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(1), pages 133-162, January.

    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. Zhenlin Yang, 2018. "Bootstrap LM tests for higher-order spatial effects in spatial linear regression models," Empirical Economics, Springer, vol. 55(1), pages 35-68, August.
    3. Miranda, Karen & Martínez Ibáñez, Oscar & Manjón Antolín, Miguel C., 2016. "Estimating individual effects and their spatial spillovers in linear panel data models: Public capital spillovers after all?," Working Papers 2072/321479, Universitat Rovira i Virgili, Department of Economics.
    4. Liqian Cai & Arnab Bhattacharjee & Roger Calantone & Taps Maiti, 2019. "Variable Selection with Spatially Autoregressive Errors: A Generalized Moments LASSO Estimator," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 81(1), pages 146-200, September.
    5. Miranda, Karen & Manjón Antolín, Miguel C. & Martínez Ibáñez, Oscar, 2018. "Growth, heterogeneous technological interdependence,and spatial externalities: Theory and Evidence," Working Papers 2072/307363, Universitat Rovira i Virgili, Department of Economics.
    6. Vatsa, Puneet & Pino, Gabriel, 2023. "Spatial spillovers and labor productivity convergence in Canada," Economics Letters, Elsevier, vol. 230(C).
    7. Camilla Mastromarco & Laura Serlenga & Yongcheol Shin, 2023. "Regional Productivity Network in the EU," CESifo Working Paper Series 10404, CESifo.
    8. Badi H. Baltagi & Alain Pirotte & Zhenlin Yang, 2021. "Diagnostic tests for homoskedasticity in spatial cross-sectional or panel models," Post-Print hal-04120461, HAL.
    9. J. Paul Elhorst & Marco Gross & Eugen Tereanu, 2021. "Cross‐Sectional Dependence And Spillovers In Space And Time: Where Spatial Econometrics And Global Var Models Meet," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 192-226, February.
    10. Anna Gloria Billé & Samantha Leorato, 2017. "Quasi-ML estimation, Marginal Effects and Asymptotics for Spatial Autoregressive Nonlinear Models," BEMPS - Bozen Economics & Management Paper Series BEMPS44, Faculty of Economics and Management at the Free University of Bozen.
    11. Yeycol Leiva & Gabriel Pino, 2020. "Analysis of the impact of school performance on income inequality in the long run: An application to Chilean municipalities," Growth and Change, Wiley Blackwell, vol. 51(3), pages 1045-1080, September.
    12. Federico Martellosio, 2020. "Non-Identifiability in Network Autoregressions," Papers 2011.11084, arXiv.org, revised Jun 2022.
    13. Paulo Reis Mourao & Mihaela Bronić & Branko Stanić, 2020. "Discussing the determinants of online budget transparency based on a spatial regression analysis of Croatian cities and municipalities: Do good neighbours make you better?," International Area Studies Review, Center for International Area Studies, Hankuk University of Foreign Studies, vol. 23(3), pages 268-287, September.
    14. 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.
    15. Ji Uk Kim, 2020. "Technology diffusion, absorptive capacity, and income convergence for Asian developing countries: a dynamic spatial panel approach," Empirical Economics, Springer, vol. 59(2), pages 569-598, August.
    16. Jasim Kada Benotmane & Jan Kueckelhaus & Paulina Will & Junyi Zhang & Vidhya M. Ravi & Kevin Joseph & Roman Sankowski & Jürgen Beck & Catalina Lee-Chang & Oliver Schnell & Dieter Henrik Heiland, 2023. "High-sensitive spatially resolved T cell receptor sequencing with SPTCR-seq," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    17. Li, Liyao & Yang, Zhenlin, 2020. "Estimation of fixed effects spatial dynamic panel data models with small T and unknown heteroskedasticity," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    18. Li, Liyao & Yang, Zhenlin, 2018. "Spatial Dynamic Panel Data Models with Correlated Random Effects," Economics and Statistics Working Papers 15-2018, Singapore Management University, School of Economics.
    19. Kwok, Hon Ho, 2019. "Identification and estimation of linear social interaction models," Journal of Econometrics, Elsevier, vol. 210(2), pages 434-458.
    20. Cynthia Fan Yang, 2021. "Common factors and spatial dependence: an application to US house prices," Econometric Reviews, Taylor & Francis Journals, vol. 40(1), pages 14-50, January.
    21. Silva, Cinthya & Pino, Gabriel, 2021. "Does direction of the transmission of bank risk matter? An application to the Chilean banking sector," Finance Research Letters, Elsevier, vol. 38(C).
    22. Arfat Ahmad Sofi & Subash Sasidharan & Mohammad Younus Bhat, 2023. "Economic growth and club convergence: Is there a neighbour's effect?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2475-2494, July.
    23. Wang, Wei & Lee, Lung-Fei & Bao, Yan, 2018. "GMM estimation of the spatial autoregressive model in a system of interrelated networks," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 167-198.
    24. Pino, Gabriel, 2022. "Did small or large US banks transmit more risk during the Subprime crisis?," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    25. Kun Duan & Tapas Mishra & Mamata Parhi & Simon Wolfe, 2019. "How Effective are Policy Interventions in a Spatially-Embedded International Real Estate Market?," The Journal of Real Estate Finance and Economics, Springer, vol. 58(4), pages 596-637, May.
    26. Yang, Zhenlin & Yu, Jihai & Liu, Shew Fan, 2016. "Bias correction and refined inferences for fixed effects spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 52-72.
    27. Miranda Gualdrón, Karen Alejandra & Manjón Antolín, M. & Martinez Ibañez, Oscar, 2019. "Growth with heterogenous interdependence," DES - Working Papers. Statistics and Econometrics. WS 29023, Universidad Carlos III de Madrid. Departamento de Estadística.
    28. Miranda, Karen & Martínez Ibáñez, Oscar & Manjón Antolín, Miguel C., 2018. "A correlated random effects spatial Durbin model," Working Papers 2072/313840, Universitat Rovira i Virgili, Department of Economics.
    29. Shi, Wei & Lee, Lung-fei, 2017. "Spatial dynamic panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 197(2), pages 323-347.
    30. Zhai, Xueqi & An, Yunfei, 2021. "The relationship between technological innovation and green transformation efficiency in China: An empirical analysis using spatial panel data," Technology in Society, Elsevier, vol. 64(C).
    31. Vitor Miguel Ribeiro & Lei Bao, 2021. "Impact of next‐generation access networks on the innovation efficiency of Portuguese municipalities: A spatial econometrics approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(5), pages 1615-1637, October.

  10. Lee, Lung-fei & Yu, Jihai, 2015. "Estimation of fixed effects panel regression models with separable and nonseparable space–time filters," Journal of Econometrics, Elsevier, vol. 184(1), pages 174-192.

    Cited by:

    1. Bogui Li & Jianbao Chen & Shuangshuang Li, 2023. "Estimation of Fixed Effects Partially Linear Varying Coefficient Panel Data Regression Model with Nonseparable Space-Time Filters," Mathematics, MDPI, vol. 11(6), pages 1-24, March.
    2. Oluyemi Adewole Okunlola & Yacouba Kassouri, 2023. "Empirical investigation of the agriculture–malnutrition nexus in Africa: Spatial clustering and spillover effects," Review of Development Economics, Wiley Blackwell, vol. 27(2), pages 685-709, May.
    3. 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.
    4. Taspinar, Suleyman & Dogan, Osman & Bera, Anil K., 2017. "GMM Gradient Tests for Spatial Dynamic Panel Data Models," MPRA Paper 82830, University Library of Munich, Germany.
    5. Li, Kunpeng, 2017. "Fixed-effects dynamic spatial panel data models and impulse response analysis," Journal of Econometrics, Elsevier, vol. 198(1), pages 102-121.
    6. Ting Fung Ma & Fangfang Wang & Jun Zhu & Anthony R. Ives & Katarzyna E. Lewińska, 2023. "Scalable Semiparametric Spatio-temporal Regression for Large Data Analysis," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 28(2), pages 279-298, June.
    7. Danqing Chen & Jianbao Chen & Shuangshuang Li, 2021. "Instrumental Variable Quantile Regression of Spatial Dynamic Durbin Panel Data Model with Fixed Effects," Mathematics, MDPI, vol. 9(24), pages 1-24, December.
    8. Jin, Fei & Lee, Lung-fei & Yu, Jihai, 2020. "First difference estimation of spatial dynamic panel data models with fixed effects," Economics Letters, Elsevier, vol. 189(C).
    9. Marius Amba & Julie Le Gallo, 2022. "Specification and estimation of a periodic spatial panel autoregressive model," Post-Print hal-03910243, HAL.
    10. Jiti Gao & Kai Xia, 2017. "Heterogeneous panel data models with cross-sectional dependence," Monash Econometrics and Business Statistics Working Papers 16/17, Monash University, Department of Econometrics and Business Statistics.
    11. Gao, Jiti & Xia, Kai & Zhu, Huanjun, 2020. "Heterogeneous panel data models with cross-sectional dependence," Journal of Econometrics, Elsevier, vol. 219(2), pages 329-353.
    12. Shi, Wei & Lee, Lung-fei, 2017. "Spatial dynamic panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 197(2), pages 323-347.
    13. Xiu Wu & Jinting Zhang & Daojun Zhang, 2021. "Explore Associations between Subjective Well-Being and Eco-Logical Footprints with Fixed Effects Panel Regressions," Land, MDPI, vol. 10(9), pages 1-15, September.
    14. 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.

  11. Wang, Wei & Yu, Jihai, 2015. "Estimation of spatial panel data models with time varying spatial weights matrices," Economics Letters, Elsevier, vol. 128(C), pages 95-99.

    Cited by:

    1. Jianglong Chen & Jinlong Gao & Feng Yuan & Yehua Dennis Wei, 2016. "Spatial Determinants of Urban Land Expansion in Globalizing Nanjing, China," Sustainability, MDPI, vol. 8(9), pages 1-25, August.
    2. Edoardo Baldoni & Roberto Esposti, 2021. "Agricultural Productivity in Space: an Econometric Assessment Based on Farm‐Level Data," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1525-1544, August.
    3. Anna Gloria Billé & Leopoldo Catania, 2018. "Dynamic Spatial Autoregressive Models with Time-varying Spatial Weighting Matrices," BEMPS - Bozen Economics & Management Paper Series BEMPS55, Faculty of Economics and Management at the Free University of Bozen.
    4. Ho, Chun-Yu & Wang, Wei & Yu, Jihai, 2018. "International knowledge spillover through trade: A time-varying spatial panel data approach," Economics Letters, Elsevier, vol. 162(C), pages 30-33.
    5. Haiyong Zhang & Xinyu Wang, 2017. "Combined asymmetric spatial weights matrix with application to housing prices," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(13), pages 2337-2353, October.
    6. Guo, Juncong & Qu, Xi, 2020. "Fixed effects spatial panel data models with time-varying spatial dependence," Economics Letters, Elsevier, vol. 196(C).
    7. Aidara, Khadidiatou & Fall, Founty A. & Seck, Abdoulaye, 2019. "Is Africa an Economic Space?," Conference papers 333021, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.

  12. Lee, Lung-fei & Yu, Jihai, 2014. "Efficient GMM estimation of spatial dynamic panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 180(2), pages 174-197.

    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. Cheng Hsiao & Qiankun Zhou, 2017. "JIVE for Panel Dynamic Simultaneous Equations Models," Departmental Working Papers 2017-10, Department of Economics, Louisiana State University.
    3. Raffaele Mattera & Philipp Otto, 2023. "Network log-ARCH models for forecasting stock market volatility," Papers 2303.11064, arXiv.org.
    4. Lee, Yoonseok & Phillips, Peter C.B., 2015. "Model selection in the presence of incidental parameters," Journal of Econometrics, Elsevier, vol. 188(2), pages 474-489.
    5. Yu Liu & Hongwei Xiao & Precious Zikhali & Yingkang Lv, 2014. "Carbon Emissions in China: A Spatial Econometric Analysis at the Regional Level," Sustainability, MDPI, vol. 6(9), pages 1-19, September.
    6. Lawrence Adu Asamoah & Francesco Figari & Andrea Vezzulli, 2021. "Spillover effects of innovation and entrepreneurial activity on income inequality in developing countries: A spatial panel approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(5), pages 1661-1686, October.
    7. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar, 2022. "Dynamic Spatiotemporal ARCH Models," Papers 2202.13856, arXiv.org.
    8. Cristian Incaltarau & Gabriela Carmen Pascariu & Adelaide Duarte & Peter Nijkamp, 2021. "Migration, regional growth and convergence: a spatial econometric study on Romania," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(3), pages 497-532, June.
    9. Zhao, Xin & Mahendru, Mandeep & Ma, Xiaowei & Rao, Amar & Shang, Yuping, 2022. "Impacts of environmental regulations on green economic growth in China: New guidelines regarding renewable energy and energy efficiency," Renewable Energy, Elsevier, vol. 187(C), pages 728-742.
    10. Nicolas Debarsy & Cyrille Dossougoin & Cem Ertur & Jean-Yves Gnabo, 2018. "Measuring sovereign risk spillovers and assessing the role of transmission channels: A spatial econometrics approach," Post-Print hal-01744629, HAL.
    11. Suhua Zhang & Yasmin Bani & Aslam Izah Selamat & Judhiana Abdul Ghani, 2022. "Impact of Industrial Agglomeration on China’s Residents’ Consumption," Sustainability, MDPI, vol. 14(7), pages 1-18, April.
    12. Chen, Xiaoguang & Ye, Jingjing, 2017. "When the Wind Blows: Spatial Spillover Effects of Urban Air Pollution," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258256, Agricultural and Applied Economics Association.
    13. Chang, Hsuan-Yu & Wang, Wei & Yu, Jihai, 2021. "Revisiting the environmental Kuznets curve in China: A spatial dynamic panel data approach," Energy Economics, Elsevier, vol. 104(C).
    14. Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.
    15. James Wolter, 2015. "Kernel Estimation Of Hazard Functions When Observations Have Dependent and Common Covariates," Economics Series Working Papers 761, University of Oxford, Department of Economics.
    16. 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.
    17. Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2020. "IV Estimation of Spatial Dynamic Panels with Interactive Effects: Large Sample Theory and an Application on Bank Attitude," Monash Econometrics and Business Statistics Working Papers 11/20, Monash University, Department of Econometrics and Business Statistics.
    18. M. Hashem Pesaran & Cynthia Fan Yang, 2019. "Estimation and inference in spatial models with dominant units," CESifo Working Paper Series 7563, CESifo.
    19. Faris Alshubiri, 2022. "The financial competition, concentration and structure of financial performance nexus in the financial sector of Oman," Economic Change and Restructuring, Springer, vol. 55(2), pages 681-714, May.
    20. Huang, Danyang & Hu, Wei & Jing, Bingyi & Zhang, Bo, 2023. "Grouped spatial autoregressive model," Computational Statistics & Data Analysis, Elsevier, vol. 178(C).
    21. Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers 34/15, Institute for Fiscal Studies.
    22. Zheng, Xinye & Song, Feng & Yu, Yihua & Song, Shunfeng, 2014. "In Search of Fiscal Interactions: A Spatial Analysis of Chinese Provincial Infrastructure Spending," MPRA Paper 61615, University Library of Munich, Germany.
    23. Jakub Olejnik & Alicja Olejnik, 2017. "Improved asymptotic analysis of Gaussian QML estimators in spatial models," Lodz Economics Working Papers 9/2017, University of Lodz, Faculty of Economics and Sociology.
    24. Julián Ramajo & Alejandro Ricci-Risquete & Lourdes Jerez & Geoffrey J. D. Hewings, 2020. "Impacts of Neighbors on Local Tax Rates: A Space–Time Dynamic Panel Data Analysis," International Regional Science Review, , vol. 43(1-2), pages 105-127, January.
    25. Xuan, Liang & Jiti, Gao & xiaodong, Gong, 2021. "Semiparametric Spatial Autoregressive Panel Data Model with Fixed Effects and Time-Varying Coefficients," MPRA Paper 108497, University Library of Munich, Germany, revised 30 May 2021.
    26. William C. Horrace & Hyunseok Jung & Shane Sanders, 2022. "Network Competition and Team Chemistry in the NBA," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 35-49, January.
    27. Hory, Marie-Pierre, 2018. "Delayed mimicking: the timing of fiscal interactions in Europe," European Journal of Political Economy, Elsevier, vol. 55(C), pages 97-118.
    28. Jerome Segura III, 2017. "The effect of state and local taxes on economic growth: A spatial dynamic panel approach," Papers in Regional Science, Wiley Blackwell, vol. 96(3), pages 627-645, August.
    29. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar, 2023. "Dynamic Spatiotemporal ARCH Models: Small and Large Sample Results," Papers 2312.05898, arXiv.org.
    30. Odolinski, Kristofer & Wheat, Phillip, 2016. "Dynamics in rail infrastructure provision: maintenance and renewal costs in Sweden," Working papers in Transport Economics 2016:23, CTS - Centre for Transport Studies Stockholm (KTH and VTI), revised 11 Dec 2017.
    31. 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.
    32. Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2023. "IV estimation of spatial dynamic panels with interactive effects: large sample theory and an application on bank attitude towards risk," The Econometrics Journal, Royal Economic Society, vol. 26(2), pages 124-146.
    33. Taspinar, Suleyman & Dogan, Osman & Bera, Anil K., 2017. "GMM Gradient Tests for Spatial Dynamic Panel Data Models," MPRA Paper 82830, University Library of Munich, Germany.
    34. Li, Liyao & Yang, Zhenlin, 2020. "Estimation of fixed effects spatial dynamic panel data models with small T and unknown heteroskedasticity," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    35. Li, Liyao & Yang, Zhenlin, 2018. "Spatial Dynamic Panel Data Models with Correlated Random Effects," Economics and Statistics Working Papers 15-2018, Singapore Management University, School of Economics.
    36. Badi H. Baltagi & Ying Deng & Jing Li & Zhenlin Yang, 2022. "Cities in a Pandemic: Evidence from China," Center for Policy Research Working Papers 251, Center for Policy Research, Maxwell School, Syracuse University.
    37. Li, Kunpeng, 2017. "Fixed-effects dynamic spatial panel data models and impulse response analysis," Journal of Econometrics, Elsevier, vol. 198(1), pages 102-121.
    38. Ma, Yingying & Guo, Shaojun & Wang, Hansheng, 2023. "Sparse spatio-temporal autoregressions by profiling and bagging," Journal of Econometrics, Elsevier, vol. 232(1), pages 132-147.
    39. Dennis Gaus & Heike Link, 2020. "Economic Effects of Transportation Infrastructure Quantity and Quality: A Study of German Counties," Discussion Papers of DIW Berlin 1848, DIW Berlin, German Institute for Economic Research.
    40. Anna Gloria Billé & Marco Rogna, 2022. "The effect of weather conditions on fertilizer applications: A spatial dynamic panel data analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 3-36, January.
    41. Achim Ahrens & Arnab Bhattacharjee, 2015. "Two-Step Lasso Estimation of the Spatial Weights Matrix," Econometrics, MDPI, vol. 3(1), pages 1-28, March.
    42. Goundan, Anatole & Tankari, Mahamadou Roufahi, 2016. "A dynamic spatial model of agricultural price transmission: Evidence from the Niger millet market:," IFPRI discussion papers 1536, International Food Policy Research Institute (IFPRI).
    43. Cynthia Fan Yang, 2021. "Common factors and spatial dependence: an application to US house prices," Econometric Reviews, Taylor & Francis Journals, vol. 40(1), pages 14-50, January.
    44. Wei Shi & Lung-fei Lee, 2018. "The effects of gun control on crimes: a spatial interactive fixed effects approach," Empirical Economics, Springer, vol. 55(1), pages 233-263, August.
    45. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar & Wolfgang Schmid & Anil K. Bera, 2023. "Spatial and Spatiotemporal Volatility Models: A Review," Papers 2308.13061, arXiv.org.
    46. 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.
    47. Matteo Deleidi & Mariana Mazzucato & Gregor Semieniuk, 2019. "Neither crowding in nor out: Public direct investment mobilising private investment into renewable electricity projects," Working Papers 226, Department of Economics, SOAS University of London, UK.
    48. Danqing Chen & Jianbao Chen & Shuangshuang Li, 2021. "Instrumental Variable Quantile Regression of Spatial Dynamic Durbin Panel Data Model with Fixed Effects," Mathematics, MDPI, vol. 9(24), pages 1-24, December.
    49. Gupta, Abhimanyu, 2019. "Estimation Of Spatial Autoregressions With Stochastic Weight Matrices," Econometric Theory, Cambridge University Press, vol. 35(2), pages 417-463, April.
    50. Li, Rui & Wan, Alan T.K. & You, Jinhong, 2016. "Semiparametric GMM estimation and variable selection in dynamic panel data models with fixed effects," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 401-423.
    51. Wolter, James Lewis, 2016. "Kernel estimation of hazard functions when observations have dependent and common covariates," Journal of Econometrics, Elsevier, vol. 193(1), pages 1-16.
    52. CHANG Pao-Li & MAKIOKA Ryo & NG Bo Lin & YANG Zhenlin, 2023. "Estimating Firm-level Production Functions with Spatial Dependence in Output, Input, and Productivity," Discussion papers 23016, Research Institute of Economy, Trade and Industry (RIETI).
    53. Bing Su & Fukang Zhu & Ke Zhu, 2023. "Statistical inference for the logarithmic spatial heteroskedasticity model with exogenous variables," Papers 2301.06658, arXiv.org.
    54. Harald Oberhofer & Christian Glocker & Werner Hölzl & Peter Huber & Serguei Kaniovski & Klaus Nowotny & Michael Pfaffermayr & Monique Ebell & Nikolaos Kontogiannis, 2016. "Single Market Transmission Mechanisms Before, During and After the 2008-09 Crisis. A Quantitative Assessment," WIFO Studies, WIFO, number 59156, April.
    55. Qu, Xi & Lee, Lung-fei & Yu, Jihai, 2017. "QML estimation of spatial dynamic panel data models with endogenous time varying spatial weights matrices," Journal of Econometrics, Elsevier, vol. 197(2), pages 173-201.
    56. Sun, Yiguo & Malikov, Emir, 2017. "Estimation and Inference in Functional-Coefficient Spatial Autoregressive Panel Data Models with Fixed Effects," MPRA Paper 83671, University Library of Munich, Germany.
    57. Zhichuan Zhu & Bo Liu & Zhuoxi Yu & Jianhong Cao, 2022. "Effects of the Digital Economy on Carbon Emissions: Evidence from China," IJERPH, MDPI, vol. 19(15), pages 1-21, August.
    58. Li, Yun & Nie, Dan & Zhao, Xingang & Li, Yanbin, 2017. "Market structure and performance: An empirical study of the Chinese solar cell industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 78-82.
    59. Marbuah, George & Gren, Ing-Marie & Tirkaso, Wondmagegn Tafesse, 2021. "Social capital, economic development and carbon emissions: Empirical evidence from counties in Sweden," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    60. Philipp Otto & Wolfgang Schmid, 2018. "Spatiotemporal analysis of German real-estate prices," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 41-72, January.
    61. Xuan Liang & Jiti Gao & Xiaodong Gong, 2019. "Time-Varying Coefficient Spatial Autoregressive Panel Data Model with Fixed Effects," Monash Econometrics and Business Statistics Working Papers 26/19, Monash University, Department of Econometrics and Business Statistics.
    62. Odolinski, Kristofer & Wheat, Phill, 2018. "Dynamics in rail infrastructure provision: Maintenance and renewal costs in Sweden," Economics of Transportation, Elsevier, vol. 14(C), pages 21-30.
    63. Eduardo A. Souza-Rodrigues, 2016. "Nonparametric Regression with Common Shocks," Econometrics, MDPI, vol. 4(3), pages 1-17, September.
    64. Han, Xiaoyi & Hsieh, Chih-Sheng & Lee, Lung-fei, 2017. "Estimation and model selection of higher-order spatial autoregressive model: An efficient Bayesian approach," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 97-120.
    65. Yu, Jihai & Zhou, Li-An & Zhu, Guozhong, 2016. "Strategic interaction in political competition: Evidence from spatial effects across Chinese cities," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 23-37.
    66. Jeong, Hanbat & Lee, Lung-fei, 2021. "Spatial dynamic game models for coevolution of intertemporal economic decision-making and spatial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    67. Fırat GÜNDEM, 2017. "Türkiye’de İBBS 2 Bölgeleri Arasında Gelir Yakınsaması Var mıdır? Mekânsal Ekonometrik Bir Katkı," Sosyoekonomi Journal, Sosyoekonomi Society, issue 25(34).
    68. Ran Yu & Zhangchi Wang & Yan Li & Zuhui Wen & Weijia Wang, 2023. "Does Population Aging Affect Carbon Emission Intensity by Regulating Labor Allocation?," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    69. Chen, Jia & Shin, Yongcheol & Zheng, Chaowen, 2022. "Estimation and inference in heterogeneous spatial panels with a multifactor error structure," Journal of Econometrics, Elsevier, vol. 229(1), pages 55-79.
    70. Hanno Reuvers & Etienne Wijler, 2021. "Sparse Generalized Yule-Walker Estimation for Large Spatio-temporal Autoregressions with an Application to NO2 Satellite Data," Papers 2108.02864, arXiv.org, revised Dec 2021.
    71. Jeong, Hanbat & Lee, Lung-fei, 2020. "Spatial dynamic models with intertemporal optimization: Specification and estimation," Journal of Econometrics, Elsevier, vol. 218(1), pages 82-104.
    72. Mendieta Ossio, Pablo, 2018. "A Regional Landscape of Bolivian Economic Growth," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 31, pages 78-99, May.

  13. B. Fingleton & M. Abreu & L. Corrado & F. Fuerst & H. Garretsen & D. Igliori & J. Le Gallo & P. McCann & J. McCombie & V. Monastiriotis & G. Pryce & J. Yu, 2013. "Editorial," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(4), pages 419-424, December.

    Cited by:

    1. Stiglitz, Joseph & Lin, Justin & Monga, Celestin & Patel, Ebrahim, 2013. "Industrial policy in the African context," Policy Research Working Paper Series 6633, The World Bank.

  14. B. Fingleton & M. Abreu & P. Cheshire & H. Garretsen & D. Igliori & J. Le Gallo & P. McCann & John McCombie & V. Monastiriotis & M. Roberts & J. Yu, 2013. "Editorial," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(2), pages 113-119, June.

    Cited by:

    1. Stiglitz, Joseph & Lin, Justin & Monga, Celestin & Patel, Ebrahim, 2013. "Industrial policy in the African context," Policy Research Working Paper Series 6633, The World Bank.

  15. Ho, Chun-Yu & Wang, Wei & Yu, Jihai, 2013. "Growth spillover through trade: A spatial dynamic panel data approach," Economics Letters, Elsevier, vol. 120(3), pages 450-453.

    Cited by:

    1. Miranda, Karen & Manjón Antolín, Miguel C. & Martínez Ibáñez, Oscar, 2018. "Growth, heterogeneous technological interdependence,and spatial externalities: Theory and Evidence," Working Papers 2072/307363, Universitat Rovira i Virgili, Department of Economics.
    2. M. Bannò & D. Giuliani & E. Zaninotto, 2015. "The nature of export spillovers on trade: an analysis at NUTS 3 level in Italy," Applied Economics Letters, Taylor & Francis Journals, vol. 22(10), pages 815-819, July.
    3. Jieun Lee, 2022. "Testing Endogeneity of Spatial Weights Matrices in Spatial Dynamic Panel Data Models," Papers 2209.05563, arXiv.org.
    4. Jan Ditzen, 2014. "Economic Growth and Migration," SEEC Discussion Papers 1406, Spatial Economics and Econometrics Centre, Heriot Watt University.
    5. Mariasole Bann√ö & Diego Giuliani & Enrico Zaninotto, 2014. "Going abroad on regional shoulders: The role of spillovers on the composition of regional exports," DEM Discussion Papers 2014/06, Department of Economics and Management.
    6. Carmelo Algeri & Antonio F. Forgione & Carlo Migliardo, 2022. "Do spatial dependence and market power matter in the diversification of cooperative banks?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 51(3), November.
    7. Sahar Amidi & Ali Fagheh Majidi & Bakhtiar Javaheri, 2020. "Growth spillover: a spatial dynamic panel data and spatial cross section data approaches in selected Asian countries," Future Business Journal, Springer, vol. 6(1), pages 1-14, December.
    8. Ho, Chun-Yu & Wang, Wei & Yu, Jihai, 2018. "International knowledge spillover through trade: A time-varying spatial panel data approach," Economics Letters, Elsevier, vol. 162(C), pages 30-33.
    9. Anjan K. Saha & Vinod Mishra, 2020. "Genetic Distance, Economic Growth and Top Income Shares: Evidence from OECD Countries," Monash Economics Working Papers 06-20, Monash University, Department of Economics.
    10. Li, Jianan & Han, Xiaoyi, 2019. "Bayesian Lassos for spatial durbin error model with smoothness prior: Application to detect spillovers of China's treaty ports," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 38-74.
    11. Merve Aksoylar Baysoy & Sumru Altug, 2021. "Growth Spillovers for the MENA Region: Geography, Institutions, or Trade?," The Developing Economies, Institute of Developing Economies, vol. 59(3), pages 275-305, September.
    12. Jieun Lee, 2022. "Evidence and Strategy on Economic Distance in Spatially Augmented Solow-Swan Growth Model," Papers 2209.05562, arXiv.org.
    13. Ji Uk Kim, 2020. "Technology diffusion, absorptive capacity, and income convergence for Asian developing countries: a dynamic spatial panel approach," Empirical Economics, Springer, vol. 59(2), pages 569-598, August.
    14. Yu Hao & Jingwen Huang & Yunxia Guo & Haitao Wu & Siyu Ren, 2022. "Does the legacy of state planning put pressure on ecological efficiency? Evidence from China," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3100-3121, November.
    15. Mahyudin Ahmad & Stephen G. Hall, 2023. "The growth effects of economic and political institutions: new evidence from spatial econometrics analysis using historical-based institutional matrix," Economic Change and Restructuring, Springer, vol. 56(2), pages 749-780, April.
    16. Crucitti, Francesca & Lazarou, Nicholas-Joseph & Monfort, Philippe & Salotti, Simone, 2023. "Where does the EU cohesion policy produce its benefits? A model analysis of the international spillovers generated by the policy," Economic Systems, Elsevier, vol. 47(3).
    17. Liangjun Su & Xi Qu, 2017. "Specification Test for Spatial Autoregressive Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(4), pages 572-584, October.
    18. Abhimanyu Gupta & Xi Qu, 2021. "Consistent specification testing under spatial dependence," Papers 2101.10255, arXiv.org, revised Aug 2022.
    19. Qu, Xi & Lee, Lung-fei & Yang, Chao, 2021. "Estimation of a SAR model with endogenous spatial weights constructed by bilateral variables," Journal of Econometrics, Elsevier, vol. 221(1), pages 180-197.
    20. 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.
    21. Zhaolong Wang & Yeqing Yang & Yu Wei, 2022. "Study on Relationship between Environmental Regulation and Green Total Factor Productivity from the Perspective of FDI—Evidence from China," Sustainability, MDPI, vol. 14(18), pages 1-16, September.
    22. Ahmad, Mahyudin, 2018. "Globalization, economic growth, and spillovers: A spatial analysis," MPRA Paper 86252, University Library of Munich, Germany.
    23. Servén, Luis & Abate, Girum Dagnachew, 2020. "Adding space to the international business cycle," Journal of Macroeconomics, Elsevier, vol. 65(C).
    24. Allah Morad Seif & Hossein Panahi & Davoud Hamidi Razi, 2017. "Regional Economic Growth and Spatial Spillover Effects in MENA Area," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 21(4), pages 765-787, Autumn.
    25. Ahmad, Mahyudin & Siong Hook, Law, 2022. "Financial development, institutions, and economic growth nexus: A spatial econometrics analysis using geographical and institutional proximities," MPRA Paper 114471, University Library of Munich, Germany.
    26. Miranda Gualdrón, Karen Alejandra & Manjón Antolín, M. & Martinez Ibañez, Oscar, 2019. "Growth with heterogenous interdependence," DES - Working Papers. Statistics and Econometrics. WS 29023, Universidad Carlos III de Madrid. Departamento de Estadística.
    27. Miranda, Karen & Martínez Ibáñez, Oscar & Manjón Antolín, Miguel C., 2018. "A correlated random effects spatial Durbin model," Working Papers 2072/313840, Universitat Rovira i Virgili, Department of Economics.
    28. Merve Aksoylar Baysoy & Sumru Altug, 2019. "Growth Spillovers in the MENA Region," Koç University-TUSIAD Economic Research Forum Working Papers 1909, Koc University-TUSIAD Economic Research Forum.
    29. Aidara, Khadidiatou & Fall, Founty A. & Seck, Abdoulaye, 2019. "Is Africa an Economic Space?," Conference papers 333021, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    30. Rezgar FEIZI & Sahar AMIDI & Thais NUNEZ-ROCHA & Isabelle RABAUD, 2022. "Carbon Tax and Emissions Transfer: a Spatial Analysis," LEO Working Papers / DR LEO 2965, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.

  16. Yu, Jihai & Zhu, Guozhong, 2013. "How uncertain is household income in China," Economics Letters, Elsevier, vol. 120(1), pages 74-78.

    Cited by:

    1. Ni, Xinwen, 2019. "The role of medical expenses in the saving decision of elderly: a life cycle model," IRTG 1792 Discussion Papers 2019-011, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    2. Raül Santaeulàlia-Llopis & Yu Zheng, 2018. "The Price of Growth: Consumption Insurance in China 1989–2009," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(4), pages 1-35, October.
    3. Chun Chang & Kaiji Chen & Daniel F. Waggoner & Tao Zha, 2015. "Trends and Cycles in China's Macroeconomy," NBER Working Papers 21244, National Bureau of Economic Research, Inc.
    4. Yongwei Chen & Dahai Fu, 2015. "Measuring income inequality using survey data: the case of China," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(2), pages 299-307, June.
    5. Ha Hong Nguyen & Trung Thanh Nguyen, 2019. "Factors Affecting the Income of Vietnamese Peasants: A Case in Tra Vinh Province," Research in World Economy, Research in World Economy, Sciedu Press, vol. 10(1), pages 54-59, June.
    6. Hyun Lee & Kai Zhao & Fei Zou, 2019. "Does the Early Retirement Policy Really Benefit Women?," Working papers 2019-12, University of Connecticut, Department of Economics.
    7. Yuanyuan Deng & Hanming Fang & Katja Hanewald & Shang Wu, 2021. "Delay the Pension Age or Adjust the Pension Bene?t? Implications for Labor Supply and Individual Welfare in China," PIER Working Paper Archive 21-014, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    8. Ayşe İmrohoroğlu & Kai Zhao, 2017. "The Chinese Saving Rate: Long-Term Care Risks, Family Insurance, and Demographics," Working papers 2017-17, University of Connecticut, Department of Economics.
    9. Russell Cooper & Guozhong Zhu, 2017. "Household Finance in China," NBER Working Papers 23741, National Bureau of Economic Research, Inc.
    10. Yabin Wang & Yuhan Xue, 2019. "Income Uncertainty, Consumer Durables Investments, And Home Production: Evidence From China," Contemporary Economic Policy, Western Economic Association International, vol. 37(2), pages 312-331, April.
    11. İmrohoroğlu, Ayşe & Zhao, Kai, 2018. "Intergenerational transfers and China’s social security reform," The Journal of the Economics of Ageing, Elsevier, vol. 11(C), pages 62-70.

  17. B. Fingleton & M. Abreu & P. Cheshire & H. Garretsen & D. Igliori & J. Le Gallo & P. McCann & John McCombie & V. Monastiriotis & M. Roberts & J. Yu, 2013. "Editorial," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(1), pages 1-8, March.

    Cited by:

    1. Stiglitz, Joseph & Lin, Justin & Monga, Celestin & Patel, Ebrahim, 2013. "Industrial policy in the African context," Policy Research Working Paper Series 6633, The World Bank.

  18. Lung-Fei Lee & Jihai Yu, 2013. "Near Unit Root in the Spatial Autoregressive Model," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(3), pages 314-351, September.

    Cited by:

    1. Rossi, Francesca & Lieberman, Offer, 2023. "Spatial autoregressions with an extended parameter space and similarity-based weights," Journal of Econometrics, Elsevier, vol. 235(2), pages 1770-1798.
    2. Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2014. "Spatial lag models with nested random effects: An instrumental variable procedure with an application to English house prices," Journal of Urban Economics, Elsevier, vol. 80(C), pages 76-86.
    3. Liu, Tuo & Xu, Xingbai & Lee, Lung-fei, 2022. "Consistency without compactness of the parameter space in spatial econometrics," Economics Letters, Elsevier, vol. 210(C).
    4. Abhimanyu Gupta, 2020. "Efficient closed-form estimation of large spatial autoregressions," Papers 2008.12395, arXiv.org, revised May 2021.
    5. Liu, Long, 2015. "A note on 2SLS estimation of the mixed regressive spatial autoregressive model," Economics Letters, Elsevier, vol. 134(C), pages 49-52.
    6. Gupta, Abhimanyu, 2019. "Estimation Of Spatial Autoregressions With Stochastic Weight Matrices," Econometric Theory, Cambridge University Press, vol. 35(2), pages 417-463, April.
    7. Yang, Kai & Lee, Lung-fei, 2017. "Identification and QML estimation of multivariate and simultaneous equations spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 196(1), pages 196-214.
    8. Dou, Baojun & Parrella, Maria Lucia & Yao, Qiwei, 2016. "Generalized Yule–Walker estimation for spatio-temporal models with unknown diagonal coefficients," Journal of Econometrics, Elsevier, vol. 194(2), pages 369-382.
    9. Dou, Baojun & Parrella, Maria Lucia & Yao, Qiwei, 2016. "Generalized Yule–Walker estimation for spatio-temporal models with unknown diagonal coefficients," LSE Research Online Documents on Economics 67151, London School of Economics and Political Science, LSE Library.

  19. Lung-fei Lee & Jihai Yu, 2012. "The C(α)-type gradient test for spatial dependence in spatial autoregressive models," Letters in Spatial and Resource Sciences, Springer, vol. 5(3), pages 119-135, October.

    Cited by:

    1. Rossi, Francesca & Robinson, Peter M., 2023. "Higher-order least squares inference for spatial autoregressions," Journal of Econometrics, Elsevier, vol. 232(1), pages 244-269.
    2. Jungyoon Lee & Peter C.B. Phillips & Francesca Rossi, 2020. "Consistent Misspecification Testing in Spatial Autoregressive Models," Cowles Foundation Discussion Papers 2256, Cowles Foundation for Research in Economics, Yale University.
    3. Robinson, Peter M. & Rossi, Francesca, 2015. "Refined Tests For Spatial Correlation," Econometric Theory, Cambridge University Press, vol. 31(6), pages 1249-1280, December.
    4. 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.
    5. Jin, Fei & Lee, Lung-fei, 2018. "Outer-product-of-gradients tests for spatial autoregressive models," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 35-57.
    6. Francesca Rossi & Peter M. Robinson, 2020. "Higher-Order Least Squares Inference for Spatial Autoregressions," Working Papers 04/2020, University of Verona, Department of Economics.

  20. Tao, Ji & Yu, Jihai, 2012. "The spatial time lag in panel data models," Economics Letters, Elsevier, vol. 117(3), pages 544-547.

    Cited by:

    1. 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.
    2. Luis Alfonso Dau & Elizabeth M Moore & William Newburry, 2020. "The grass is always greener: The impact of home and host country CSR reputation signaling on cross-country investments," Journal of International Business Policy, Palgrave Macmillan, vol. 3(2), pages 154-182, June.
    3. Duan, Kun & Mishra, Tapas & Parhi, Mamata, 2018. "Space matters: Understanding the real effects of macroeconomic variations in cross-country housing price movements," Economics Letters, Elsevier, vol. 163(C), pages 130-135.
    4. Carmelo Algeri & Antonio F. Forgione & Carlo Migliardo, 2022. "Do spatial dependence and market power matter in the diversification of cooperative banks?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 51(3), November.
    5. Ho, Chun-Yu & Wang, Wei & Yu, Jihai, 2013. "Growth spillover through trade: A spatial dynamic panel data approach," Economics Letters, Elsevier, vol. 120(3), pages 450-453.
    6. 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.
    7. Servén, Luis & Abate, Girum Dagnachew, 2020. "Adding space to the international business cycle," Journal of Macroeconomics, Elsevier, vol. 65(C).
    8. Glass, Anthony J. & Kenjegalieva, Karligash & Sickles, Robin C. & Weyman-Jones, Thomas, 2018. "The Spatial Efficiency Multiplier and Common Correlated Effects in a Spatial Autoregressive Stochastic Frontier Model," Working Papers 18-003, Rice University, Department of Economics.
    9. Kun Duan & Tapas Mishra & Mamata Parhi & Simon Wolfe, 2019. "How Effective are Policy Interventions in a Spatially-Embedded International Real Estate Market?," The Journal of Real Estate Finance and Economics, Springer, vol. 58(4), pages 596-637, May.
    10. Allah Morad Seif & Hossein Panahi & Davoud Hamidi Razi, 2017. "Regional Economic Growth and Spatial Spillover Effects in MENA Area," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 21(4), pages 765-787, Autumn.
    11. Han, Xiaoyi & Hsieh, Chih-Sheng & Lee, Lung-fei, 2017. "Estimation and model selection of higher-order spatial autoregressive model: An efficient Bayesian approach," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 97-120.
    12. Abrahms, Max & Dau, Luis Alfonso & Moore, Elizabeth M., 2023. "Should I stay or should I go now? Understanding terrorism as a driver of institutional escapism," International Business Review, Elsevier, vol. 32(4).
    13. Shi, Wei & Lee, Lung-fei, 2017. "Spatial dynamic panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 197(2), pages 323-347.
    14. Aidara, Khadidiatou & Fall, Founty A. & Seck, Abdoulaye, 2019. "Is Africa an Economic Space?," Conference papers 333021, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.

  21. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2012. "Estimation for spatial dynamic panel data with fixed effects: The case of spatial cointegration," Journal of Econometrics, Elsevier, vol. 167(1), pages 16-37.

    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. Lee, Lung-fei & Yu, Jihai, 2015. "Estimation of fixed effects panel regression models with separable and nonseparable space–time filters," Journal of Econometrics, Elsevier, vol. 184(1), pages 174-192.
    3. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2019. "Estimation and inference for spatial models with heterogeneous coefficients: an application to U.S. house prices," CESifo Working Paper Series 7542, CESifo.
    4. Luo, Guowang & Wu, Mixia & Pang, Zhen, 2022. "Estimation of spatial autoregressive models with covariate measurement errors," Journal of Multivariate Analysis, Elsevier, vol. 192(C).
    5. Xianghong Zhou & Weiwei Chen, 2021. "The Impact of Informatization on the Relationship between the Tourism Industry and Regional Economic Development," Sustainability, MDPI, vol. 13(16), pages 1-23, August.
    6. Herrera Gómez, Marcos, 2017. "Fundamentos de Econometría Espacial Aplicada [Fundamentals of Applied Spatial Econometrics]," MPRA Paper 80871, University Library of Munich, Germany.
    7. Júlia Gallego Ziero Uhr & André Luis Squarize Chagas, Daniel de Abreu Pereira Uhr, Renan Porn Peres, 2017. "A study on environmental infractions for Brazilian municipalities: a spatial dynamic panel approach," Working Papers, Department of Economics 2017_13, University of São Paulo (FEA-USP).
    8. Nicolas Debarsy & Cyrille Dossougoin & Cem Ertur & Jean-Yves Gnabo, 2018. "Measuring sovereign risk spillovers and assessing the role of transmission channels: A spatial econometrics approach," Post-Print hal-01744629, HAL.
    9. Francesc Amat & Pablo Beramendi & Miriam Hortas-Rico & Vicente Rios, 2020. "How inequality shapes political participation: The role of spatial patterns of political competition," Working Papers. Collection B: Regional and sectoral economics 2002, Universidade de Vigo, GEN - Governance and Economics research Network.
    10. J. Wesley Burnett & Xueting Zhao, 2014. "Forecasting U.S. State-Level Carbon Dioxide Emissions," The Review of Regional Studies, Southern Regional Science Association, vol. 44(3), pages 223-240, Winter.
    11. Gao, Zhaoxing & Ma, Yingying & Wang, Hansheng & Yao, Qiwei, 2019. "Banded spatio-temporal autoregressions," Journal of Econometrics, Elsevier, vol. 208(1), pages 211-230.
    12. Fei Jin & Lung-fei Lee, 2013. "Generalized Spatial Two Stage Least Squares Estimation of Spatial Autoregressive Models with Autoregressive Disturbances in the Presence of Endogenous Regressors and Many Instruments," Econometrics, MDPI, vol. 1(1), pages 1-44, May.
    13. Lung-fei Lee & Jihai Yu, 2012. "QML Estimation of Spatial Dynamic Panel Data Models with Time Varying Spatial Weights Matrices," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(1), pages 31-74, March.
    14. Hanen Ragoubi & Zouheir Mighri, 2021. "Spillover effects of trade openness on CO2 emissions in middle‐income countries: A spatial panel data approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(3), pages 835-877, June.
    15. Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.
    16. Michael McCullough & Joshua Berning & Jason L. Hanson, 2019. "Learning By Brewing: Homebrewing Legalization And The Brewing Industry," Contemporary Economic Policy, Western Economic Association International, vol. 37(1), pages 25-39, January.
    17. Federica Cappelli & Caterina Conigliani & Valeria Costantini & Keti Lelo & Anil Markandya & Elena Paglialunga & Giorgia Sforna, 2020. "Do spatial interactions fuel the climate-conflict vicious cycle? The case of the African continent," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-52, December.
    18. 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.
    19. LeSage, James P. & Chih, Yao-Yu & Vance, Colin, 2018. "Markov chain Monte Carlo estimation of spatial dynamic panel models for large samples," Ruhr Economic Papers 769, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    20. Sahar Amidi & Ali Fagheh Majidi & Bakhtiar Javaheri, 2020. "Growth spillover: a spatial dynamic panel data and spatial cross section data approaches in selected Asian countries," Future Business Journal, Springer, vol. 6(1), pages 1-14, December.
    21. Mengqi Zhang & Boping Tian, 2023. "Profile Maximum Likelihood Estimation of Single-Index Spatial Dynamic Panel Data Model," Mathematics, MDPI, vol. 11(13), pages 1-16, July.
    22. Niu, Honglei & Lekse, William, 2018. "Carbon emission effect of urbanization at regional level: Empirical evidence from China," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-31.
    23. James Wesley Burnett & Xueting Zhao, 2017. "Spatially Explicit Prediction of Wholesale Electricity Prices," International Regional Science Review, , vol. 40(2), pages 99-140, March.
    24. Rios, Vicente & Gianmoena, Lisa, 2018. "Convergence in CO2 emissions: A spatial economic analysis with cross-country interactions," Energy Economics, Elsevier, vol. 75(C), pages 222-238.
    25. Naoto Jinji & Xingyuan Zhang, 2015. "International Knowledge Flows and Productivity: Intra- vs. Inter-Industry Spillovers," International Economic Journal, Taylor & Francis Journals, vol. 29(3), pages 451-474, September.
    26. Yongfu Huang & M. G. Quibria, 2013. "Green Growth: Theory and Evidence," WIDER Working Paper Series wp-2013-056, World Institute for Development Economic Research (UNU-WIDER).
    27. Lung‐fei Lee & Jihai Yu, 2012. "Spatial Panels: Random Components Versus Fixed Effects," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(4), pages 1369-1412, November.
    28. Taspinar, Suleyman & Dogan, Osman & Bera, Anil K., 2017. "GMM Gradient Tests for Spatial Dynamic Panel Data Models," MPRA Paper 82830, University Library of Munich, Germany.
    29. Xueting Zhao & J. Burnett, 2014. "Forecasting province-level $${\text {CO}}_{2}$$ CO 2 emissions in China," Letters in Spatial and Resource Sciences, Springer, vol. 7(3), pages 171-183, October.
    30. Burridge, Peter & Iacone, Fabrizio & Lazarová, Štěpána, 2015. "Spatial effects in a common trend model of US city-level CPI," Regional Science and Urban Economics, Elsevier, vol. 54(C), pages 87-98.
    31. Ma, Yingying & Guo, Shaojun & Wang, Hansheng, 2023. "Sparse spatio-temporal autoregressions by profiling and bagging," Journal of Econometrics, Elsevier, vol. 232(1), pages 132-147.
    32. 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.
    33. Anna Gloria Billé & Marco Rogna, 2022. "The effect of weather conditions on fertilizer applications: A spatial dynamic panel data analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 3-36, January.
    34. Jin, Fei & Lee, Lung-fei & Yu, Jihai, 2020. "First difference estimation of spatial dynamic panel data models with fixed effects," Economics Letters, Elsevier, vol. 189(C).
    35. Salvatore Costantino & Maria Francesca Cracolici & J. Paul Elhorst, 2023. "A spatial origin‐destination approach for the analysis of local tourism demand in Italy," Papers in Regional Science, Wiley Blackwell, vol. 102(2), pages 393-419, April.
    36. Vicente Rios & Lisa Gianmoena, 2021. "On the link between temperature and regional COVID‐19 severity: Evidence from Italy," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(S1), pages 109-137, November.
    37. Triki, Mohamed Bilel, 2019. "The Italian wage curve revisited: A local and spatial cointegration," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 73-90.
    38. Xiaoyi Han & Lung-Fei Lee, 2016. "Bayesian Analysis of Spatial Panel Autoregressive Models With Time-Varying Endogenous Spatial Weight Matrices, Common Factors, and Random Coefficients," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 642-660, October.
    39. Zhu, Chen & Lee, Chien-Chiang, 2022. "The effects of low-carbon pilot policy on technological innovation: Evidence from prefecture-level data in China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    40. Lee, Lung-fei & Yu, Jihai, 2014. "Efficient GMM estimation of spatial dynamic panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 180(2), pages 174-197.
    41. Qu, Xi & Lee, Lung-fei & Yu, Jihai, 2017. "QML estimation of spatial dynamic panel data models with endogenous time varying spatial weights matrices," Journal of Econometrics, Elsevier, vol. 197(2), pages 173-201.
    42. Dou, Baojun & Parrella, Maria Lucia & Yao, Qiwei, 2016. "Generalized Yule–Walker estimation for spatio-temporal models with unknown diagonal coefficients," Journal of Econometrics, Elsevier, vol. 194(2), pages 369-382.
    43. Sun, Yiguo & Malikov, Emir, 2017. "Estimation and Inference in Functional-Coefficient Spatial Autoregressive Panel Data Models with Fixed Effects," MPRA Paper 83671, University Library of Munich, Germany.
    44. The Nguyen Huynh, 2022. "Dynamic spatial effects of determinants of foreign direct investment: A case of the southern key economic region of Vietnam," Australian Economic Papers, Wiley Blackwell, vol. 61(3), pages 436-454, September.
    45. Yang, Zhenlin & Yu, Jihai & Liu, Shew Fan, 2016. "Bias correction and refined inferences for fixed effects spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 52-72.
    46. Mengqi Zhang & Boping Tian, 2023. "Estimation of the Non-Parametric Spatial Dynamic Panel Data Model with Fixed Effects," Mathematics, MDPI, vol. 11(13), pages 1-23, June.
    47. Elhorst, J. Paul & Madre, Jean-Loup & Pirotte, Alain, 2020. "Car traffic, habit persistence, cross-sectional dependence, and spatial heterogeneity: New insights using French departmental data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 614-632.
    48. Debarsy, Nicolas & Yang, Zhenlin, 2018. "Editorial for the special issue entitled: New advances in spatial econometrics: Interactions matter," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 1-5.
    49. Yang, Kai & Lee, Lung-fei, 2021. "Estimation of dynamic panel spatial vector autoregression: Stability and spatial multivariate cointegration," Journal of Econometrics, Elsevier, vol. 221(2), pages 337-367.
    50. Song, Ge & Ren, Gaofeng, 2022. "Spatial response of cultivated land use efficiency to the maize structural adjustment policy in the "Sickle Bend" region of China: An empirical study from the cold area of northeast," Land Use Policy, Elsevier, vol. 123(C).
    51. Dou, Baojun & Parrella, Maria Lucia & Yao, Qiwei, 2016. "Generalized Yule–Walker estimation for spatio-temporal models with unknown diagonal coefficients," LSE Research Online Documents on Economics 67151, London School of Economics and Political Science, LSE Library.
    52. Kuersteiner, Guido M. & Prucha, Ingmar R., 2013. "Limit theory for panel data models with cross sectional dependence and sequential exogeneity," Journal of Econometrics, Elsevier, vol. 174(2), pages 107-126.
    53. Hanno Reuvers & Etienne Wijler, 2021. "Sparse Generalized Yule-Walker Estimation for Large Spatio-temporal Autoregressions with an Application to NO2 Satellite Data," Papers 2108.02864, arXiv.org, revised Dec 2021.

  22. Lung-fei Lee & Jihai Yu, 2012. "QML Estimation of Spatial Dynamic Panel Data Models with Time Varying Spatial Weights Matrices," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(1), pages 31-74, March.

    Cited by:

    1. Lee, Lung-fei & Yu, Jihai, 2015. "Estimation of fixed effects panel regression models with separable and nonseparable space–time filters," Journal of Econometrics, Elsevier, vol. 184(1), pages 174-192.
    2. Zhou, Yiwei & Wang, Xiaokun & Holguín-Veras, José, 2016. "Discrete choice with spatial correlation: A spatial autoregressive binary probit model with endogenous weight matrix (SARBP-EWM)," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 440-455.
    3. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2019. "Estimation and inference for spatial models with heterogeneous coefficients: an application to U.S. house prices," CESifo Working Paper Series 7542, CESifo.
    4. Luo, Guowang & Wu, Mixia & Pang, Zhen, 2022. "Estimation of spatial autoregressive models with covariate measurement errors," Journal of Multivariate Analysis, Elsevier, vol. 192(C).
    5. Jieun Lee, 2022. "Testing Endogeneity of Spatial Weights Matrices in Spatial Dynamic Panel Data Models," Papers 2209.05563, arXiv.org.
    6. Ana Angulo & Peter Burridge & Jesus Mur, 2017. "Testing for a structural break in the weight matrix of the spatial error or spatial lag model," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(2-3), pages 161-181, July.
    7. Michele Costola & Matteo Iacopini & Casper Wichers, 2023. "Bayesian SAR model with stochastic volatility and multiple time-varying weights," Papers 2310.17473, arXiv.org.
    8. Ana Angulo & Peter Burridge & Jes�s Mur, 2017. "Testing for breaks in the weighting matrix," Documentos de Trabajo dt2017-01, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    9. Herrera Gómez, Marcos, 2017. "Fundamentos de Econometría Espacial Aplicada [Fundamentals of Applied Spatial Econometrics]," MPRA Paper 80871, University Library of Munich, Germany.
    10. Júlia Gallego Ziero Uhr & André Luis Squarize Chagas, Daniel de Abreu Pereira Uhr, Renan Porn Peres, 2017. "A study on environmental infractions for Brazilian municipalities: a spatial dynamic panel approach," Working Papers, Department of Economics 2017_13, University of São Paulo (FEA-USP).
    11. Gao, Zhaoxing & Ma, Yingying & Wang, Hansheng & Yao, Qiwei, 2019. "Banded spatio-temporal autoregressions," Journal of Econometrics, Elsevier, vol. 208(1), pages 211-230.
    12. Clément Gorin, 2017. "Accessibility, absorptive capacity and innovation in European urban areas," Working Papers 1722, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    13. Hanen Ragoubi & Zouheir Mighri, 2021. "Spillover effects of trade openness on CO2 emissions in middle‐income countries: A spatial panel data approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(3), pages 835-877, June.
    14. Marcos Herrera & Jesus Mur & Manuel Ruiz-Marin, 2017. "A Comparison Study on Criteria to Select the Most Adequate Weighting Matrix," Working Papers 18, Instituto de Estudios Laborales y del Desarrollo Económico (IELDE) - Universidad Nacional de Salta - Facultad de Ciencias Económicas, Jurídicas y Sociales.
    15. Edoardo Baldoni & Roberto Esposti, 2021. "Agricultural Productivity in Space: an Econometric Assessment Based on Farm‐Level Data," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1525-1544, August.
    16. Anna Gloria Billé & Leopoldo Catania, 2018. "Dynamic Spatial Autoregressive Models with Time-varying Spatial Weighting Matrices," BEMPS - Bozen Economics & Management Paper Series BEMPS55, Faculty of Economics and Management at the Free University of Bozen.
    17. 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.
    18. LeSage, James P. & Chih, Yao-Yu & Vance, Colin, 2018. "Markov chain Monte Carlo estimation of spatial dynamic panel models for large samples," Ruhr Economic Papers 769, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    19. Manfred M. Fischer & James P. LeSage, 2020. "Network dependence in multi-indexed data on international trade flows," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-26, December.
    20. Sahar Amidi & Ali Fagheh Majidi & Bakhtiar Javaheri, 2020. "Growth spillover: a spatial dynamic panel data and spatial cross section data approaches in selected Asian countries," Future Business Journal, Springer, vol. 6(1), pages 1-14, December.
    21. Ho, Chun-Yu & Wang, Wei & Yu, Jihai, 2013. "Growth spillover through trade: A spatial dynamic panel data approach," Economics Letters, Elsevier, vol. 120(3), pages 450-453.
    22. Nicolas Debarsy & James Lesage, 2018. "Flexible dependence modeling using convex combinations of different types of connectivity structures," Post-Print halshs-03319303, HAL.
    23. Lee, Jiyon, 2018. "A spatial latent class model," Economics Letters, Elsevier, vol. 162(C), pages 62-68.
    24. Giuseppe Arbia & Anil K. Bera & Osman Doğan & Süleyman Taşpınar, 2020. "Testing Impact Measures in Spatial Autoregressive Models," International Regional Science Review, , vol. 43(1-2), pages 40-75, January.
    25. Haiyong Zhang & Xinyu Wang, 2017. "Combined asymmetric spatial weights matrix with application to housing prices," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(13), pages 2337-2353, October.
    26. Monica Billio & Massimiliano Caporin & Lorenzo Frattarolo & Loriana Pelizzon, 2016. "Networks in risk spillovers: a multivariate GARCH perspective," Working Papers 2016:03, Department of Economics, University of Venice "Ca' Foscari".
    27. Niu, Honglei & Lekse, William, 2018. "Carbon emission effect of urbanization at regional level: Empirical evidence from China," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-31.
    28. Shi, Wei & Lee, Lung-fei, 2018. "A spatial panel data model with time varying endogenous weights matrices and common factors," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 6-34.
    29. Guo, Juncong & Qu, Xi, 2020. "Fixed effects spatial panel data models with time-varying spatial dependence," Economics Letters, Elsevier, vol. 196(C).
    30. Taspinar, Suleyman & Dogan, Osman & Bera, Anil K., 2017. "GMM Gradient Tests for Spatial Dynamic Panel Data Models," MPRA Paper 82830, University Library of Munich, Germany.
    31. Burridge, Peter & Iacone, Fabrizio & Lazarová, Štěpána, 2015. "Spatial effects in a common trend model of US city-level CPI," Regional Science and Urban Economics, Elsevier, vol. 54(C), pages 87-98.
    32. Zhu, Chen & Xia, Yuqing & Liu, Qing & Hou, Bojun, 2023. "Deregulation and green innovation: Does cultural reform pilot project matter," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 84-105.
    33. Propper, Carol & Barrenho, Eliana & Gautier, Eric & Miraldo, Marisa & Rose, Christiern, 2020. "Innovation Diffusion and Physician Networks: Keyhole Surgery for Cancer in the English NHS," CEPR Discussion Papers 15515, C.E.P.R. Discussion Papers.
    34. Quintaba Pablo Aníbal & Herrera Gómez Marcos, 2023. "Spatial Weighting Matrix Estimation through Statistical Learning: Analyzing Argentinean Salary Dynamics under Structural Breaks," Asociación Argentina de Economía Política: Working Papers 4688, Asociación Argentina de Economía Política.
    35. Jin, Fei & Lee, Lung-fei & Yu, Jihai, 2020. "First difference estimation of spatial dynamic panel data models with fixed effects," Economics Letters, Elsevier, vol. 189(C).
    36. Vicente Rios & Lisa Gianmoena, 2021. "On the link between temperature and regional COVID‐19 severity: Evidence from Italy," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(S1), pages 109-137, November.
    37. Triki, Mohamed Bilel, 2019. "The Italian wage curve revisited: A local and spatial cointegration," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 73-90.
    38. Xiaoyi Han & Lung-Fei Lee, 2016. "Bayesian Analysis of Spatial Panel Autoregressive Models With Time-Varying Endogenous Spatial Weight Matrices, Common Factors, and Random Coefficients," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 642-660, October.
    39. Jaepil Han & Deockhyun Ryu & Robin Sickles, 2016. "How to Measure Spillover Effects of Public Capital Stock: A Spatial Autoregressive Stochastic Frontier Model," Advances in Econometrics, in: Spatial Econometrics: Qualitative and Limited Dependent Variables, volume 37, pages 259-294, Emerald Group Publishing Limited.
    40. Ou Bianling & Zhao Xin & Wang Mingxi, 2015. "Power of Moran’s I Test for Spatial Dependence in Panel Data Models with Time Varying Spatial Weights Matrices," Journal of Systems Science and Information, De Gruyter, vol. 3(5), pages 463-471, October.
    41. Zhu, Chen & Lee, Chien-Chiang, 2022. "The effects of low-carbon pilot policy on technological innovation: Evidence from prefecture-level data in China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    42. Badi H. Baltagi & Junjie Shu, 2024. "A Survey of Spatial Unit Roots," Mathematics, MDPI, vol. 12(7), pages 1-31, March.
    43. Qu, Xi & Lee, Lung-fei & Yu, Jihai, 2017. "QML estimation of spatial dynamic panel data models with endogenous time varying spatial weights matrices," Journal of Econometrics, Elsevier, vol. 197(2), pages 173-201.
    44. Dou, Baojun & Parrella, Maria Lucia & Yao, Qiwei, 2016. "Generalized Yule–Walker estimation for spatio-temporal models with unknown diagonal coefficients," Journal of Econometrics, Elsevier, vol. 194(2), pages 369-382.
    45. Sun, Yiguo & Malikov, Emir, 2017. "Estimation and Inference in Functional-Coefficient Spatial Autoregressive Panel Data Models with Fixed Effects," MPRA Paper 83671, University Library of Munich, Germany.
    46. The Nguyen Huynh, 2022. "Dynamic spatial effects of determinants of foreign direct investment: A case of the southern key economic region of Vietnam," Australian Economic Papers, Wiley Blackwell, vol. 61(3), pages 436-454, September.
    47. Wang, Wei & Yu, Jihai, 2015. "Estimation of spatial panel data models with time varying spatial weights matrices," Economics Letters, Elsevier, vol. 128(C), pages 95-99.
    48. Philipp Otto & Wolfgang Schmid, 2018. "Spatiotemporal analysis of German real-estate prices," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 41-72, January.
    49. Barrenho, E.; & Miraldo, M.; & Propper, C; & Rose, C.;, 2019. "Peer and network effects in medical innovation: the case of laparoscopic surgery in the English NHS," Health, Econometrics and Data Group (HEDG) Working Papers 19/10, HEDG, c/o Department of Economics, University of York.
    50. Song, Ge & Ren, Gaofeng, 2022. "Spatial response of cultivated land use efficiency to the maize structural adjustment policy in the "Sickle Bend" region of China: An empirical study from the cold area of northeast," Land Use Policy, Elsevier, vol. 123(C).
    51. Massimiliano Cerciello, 2021. "Spatial patterns in food waste at the local level. A preliminary analysis for Italian data," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(1), pages 83-101, February.
    52. Han, Xiaoyi & Hsieh, Chih-Sheng & Lee, Lung-fei, 2017. "Estimation and model selection of higher-order spatial autoregressive model: An efficient Bayesian approach," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 97-120.
    53. Wang, Jinsong & Gao, Dongdong & Shi, Wei & Du, Jiayan & Huang, Zhuo & Liu, Buyuan, 2023. "Spatio-temporal changes in ecosystem service value: Evidence from the economic development of urbanised regions," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    54. Dou, Baojun & Parrella, Maria Lucia & Yao, Qiwei, 2016. "Generalized Yule–Walker estimation for spatio-temporal models with unknown diagonal coefficients," LSE Research Online Documents on Economics 67151, London School of Economics and Political Science, LSE Library.
    55. Wang, Wei & Lee, Lung-fei, 2013. "Estimation of spatial panel data models with randomly missing data in the dependent variable," Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 521-538.
    56. Gong, Pu & Weng, Yingliang, 2016. "Value-at-Risk forecasts by a spatiotemporal model in Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 173-191.
    57. Su, Liangjun & Wang, Wuyi & Xu, Xingbai, 2023. "Identifying latent group structures in spatial dynamic panels," Journal of Econometrics, Elsevier, vol. 235(2), pages 1955-1980.
    58. Jeong, Hanbat & Lee, Lung-fei, 2020. "Spatial dynamic models with intertemporal optimization: Specification and estimation," Journal of Econometrics, Elsevier, vol. 218(1), pages 82-104.

  23. Jihai Yu & Lung-Fei Lee, 2012. "Convergence: A Spatial Dynamic Panel Data Approach," Global Journal of Economics (GJE), World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 1-36.

    Cited by:

    1. Hidalgo, Javier & Schafgans, Marcia, 2017. "Inference and testing breaks in large dynamic panels with strong cross sectional dependence," Journal of Econometrics, Elsevier, vol. 196(2), pages 259-274.
    2. Miranda, Karen & Manjón Antolín, Miguel C. & Martínez Ibáñez, Oscar, 2018. "Growth, heterogeneous technological interdependence,and spatial externalities: Theory and Evidence," Working Papers 2072/307363, Universitat Rovira i Virgili, Department of Economics.
    3. Zhao, Xueting & Burnett, J. Wesley & Lacombe, Donald J., 2014. "Province-level Convergence of China CO2 Emission Intensity," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169403, Agricultural and Applied Economics Association.
    4. Cristian Incaltarau & Gabriela Carmen Pascariu & Adelaide Duarte & Peter Nijkamp, 2021. "Migration, regional growth and convergence: a spatial econometric study on Romania," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(3), pages 497-532, June.
    5. Manfred M. Fischer & James P. LeSage, 2013. "A Bayesian space-time approach to identifying and interpreting regional convergence clubs in Europe," ERSA conference papers ersa13p39, European Regional Science Association.
    6. 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.
    7. Ho, Chun-Yu & Wang, Wei & Yu, Jihai, 2013. "Growth spillover through trade: A spatial dynamic panel data approach," Economics Letters, Elsevier, vol. 120(3), pages 450-453.
    8. Li, Hengyun & Chen, Jason Li & Li, Gang & Goh, Carey, 2016. "Tourism and regional income inequality: Evidence from China," Annals of Tourism Research, Elsevier, vol. 58(C), pages 81-99.
    9. Song, Yang & Liu, Dayu & Wang, Qiaoru, 2021. "Identifying characteristic changes in club convergence of China's urban pollution emission: A spatial-temporal feature analysis," Energy Economics, Elsevier, vol. 98(C).
    10. Vicente German-Soto & Gregory Brock, 2022. "Overall US and Census Region β-Convergence 1963–2015 Controlling for Spatial Effects," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 64(1), pages 44-67, March.
    11. Ji Uk Kim, 2020. "Technology diffusion, absorptive capacity, and income convergence for Asian developing countries: a dynamic spatial panel approach," Empirical Economics, Springer, vol. 59(2), pages 569-598, August.
    12. Rios, Vicente & Gianmoena, Lisa, 2018. "Convergence in CO2 emissions: A spatial economic analysis with cross-country interactions," Energy Economics, Elsevier, vol. 75(C), pages 222-238.
    13. 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.
    14. Gao, Kang & Yuan, Yijun, 2022. "Government intervention, spillover effect and urban innovation performance: Empirical evidence from national innovative city pilot policy in China," Technology in Society, Elsevier, vol. 70(C).
    15. Yan Zhu & Hongfeng Zhang & Xu He, 2023. "Impact of New and Old Driving Force Conversion on Air Quality: Empirical Analysis Based on RDD," Sustainability, MDPI, vol. 15(4), pages 1-12, February.
    16. Mihai Antonia & Zizi Goschin & Irina-Denisa Munteanu & Mihail-Dumitru Sacală, 2023. "The Effects of Schooling Level on Economic Convergence in Emerging Countries: Evidence from Romania," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 169(1), pages 125-142, September.
    17. Zhao, Xueting & Wesley Burnett, J. & Lacombe, Donald J., 2015. "Province-level convergence of China’s carbon dioxide emissions," Applied Energy, Elsevier, vol. 150(C), pages 286-295.
    18. Kubis, Alexander & Schneider, Lutz, 2012. "Human Capital Mobility and Convergence – A Spatial Dynamic Panel Model of the German Regions," IWH Discussion Papers 9/2012, Halle Institute for Economic Research (IWH).
    19. Olabode Philip Olofin & Oluwole Oladipo Aiyegbusi & Abayomi Ayinla Adebayo, 2019. "Analysis of Foreign Direct Investment and Economic Growth in Nigeria: Application of Spatial Econometrics and Fully Modified Ordinary Least Square (FMOLS)," Foreign Trade Review, , vol. 54(3), pages 159-176, August.
    20. Hidalgo, Javier & Schafgans, Marcia, 2017. "Inference and testing breaks in large dynamic panels with strong cross sectional dependence," LSE Research Online Documents on Economics 68839, London School of Economics and Political Science, LSE Library.
    21. Muhammad Hidayat & Nasri Bachtiar & Sjafrizal Sjafrizal & Elvina Primayesa, 2023. "The Influence of Investment, Energy Infrastructure, and Human Capital Towards Convergence of Regional Disparities in Sumatra Island, Indonesia; Using Oil and Gas Data and Without Oil and Gas," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 139-149, July.
    22. Miranda Gualdrón, Karen Alejandra & Manjón Antolín, M. & Martinez Ibañez, Oscar, 2019. "Growth with heterogenous interdependence," DES - Working Papers. Statistics and Econometrics. WS 29023, Universidad Carlos III de Madrid. Departamento de Estadística.
    23. Miranda, Karen & Martínez Ibáñez, Oscar & Manjón Antolín, Miguel C., 2018. "A correlated random effects spatial Durbin model," Working Papers 2072/313840, Universitat Rovira i Virgili, Department of Economics.
    24. Wenhao Qi & Changxing Song & Meng Sun & Liguo Wang & Youcheng Han, 2022. "Sustainable Growth Drivers: Unveiling the Role Played by Carbon Productivity," IJERPH, MDPI, vol. 19(3), pages 1-25, January.
    25. Meng Sun & Yue Zhang & Yaqi Hu & Jiayi Zhang, 2022. "Spatial Convergence of Carbon Productivity: Theoretical Analysis and Chinese Experience," IJERPH, MDPI, vol. 19(8), pages 1-19, April.
    26. Tao, Ji & Yu, Jihai, 2012. "The spatial time lag in panel data models," Economics Letters, Elsevier, vol. 117(3), pages 544-547.
    27. Muhammad Hidayat & Nasri Bachtiar & Sjafrizal Sjafrizal & Elvina Primayesa, 2022. "Does Investment and Energy Infrastructure Influence Convergence in Sumatra Island, Indonesia?," International Journal of Energy Economics and Policy, Econjournals, vol. 12(4), pages 274-281, July.

  24. Lung‐fei Lee & Jihai Yu, 2012. "Spatial Panels: Random Components Versus Fixed Effects," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(4), pages 1369-1412, November.

    Cited by:

    1. Nicolas Debarsy & Jean-Yves Gnabo & Malik Kerkour, 2017. "Sovereign Wealth Funds’ cross-border investments: assessing the role of country-level drivers and spatial competition," Post-Print hal-01251243, HAL.
    2. Lee, Lung-fei & Yu, Jihai, 2015. "Estimation of fixed effects panel regression models with separable and nonseparable space–time filters," Journal of Econometrics, Elsevier, vol. 184(1), pages 174-192.
    3. Millo, Giovanni, 2014. "Maximum likelihood estimation of spatially and serially correlated panels with random effects," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 914-933.
    4. Giovanni Millo, 2022. "The generalized spatial random effects model in R," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-18, December.
    5. Matt Ruther, 2014. "The effect of growth in foreign born population share on county homicide rates: A spatial panel approach," Papers in Regional Science, Wiley Blackwell, vol. 93, pages 1-23, November.
    6. Anil K. Bera & Osman Doğan & Süleyman Taşpınar & Monalisa Sen, 2020. "Specification tests for spatial panel data models," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-39, December.
    7. Bhattacharjee, Arnab & Jensen-Butler, Chris, 2011. "Estimation of the Spatial Weights Matrix under Structural Constraints," SIRE Discussion Papers 2011-48, Scottish Institute for Research in Economics (SIRE).
    8. Wu, Zhen & Woo, Su-Han & Lai, Po-Lin & Chen, Xiaoyi, 2022. "The economic impact of inland ports on regional development: Evidence from the Yangtze River region," Transport Policy, Elsevier, vol. 127(C), pages 80-91.
    9. Roger Bivand & Giovanni Millo & Gianfranco Piras, 2021. "A Review of Software for Spatial Econometrics in R," Mathematics, MDPI, vol. 9(11), pages 1-40, June.
    10. Maté-Sánchez-Val, Mariluz & López-Hernandez, Fernando & Mur-Lacambra, Jesús, 2017. "How do neighboring peer companies influence SMEs’ financial behavior?," Economic Modelling, Elsevier, vol. 63(C), pages 104-114.
    11. Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2022. "Bayesian Estimation of Multivariate Panel Probits with Higher-order Network Interdependence and an Application to Firms' Global Market Participation in Guangdong," Center for Policy Research Working Papers 247, Center for Policy Research, Maxwell School, Syracuse University.
    12. Puig, Francisco & Debón, Ana & Cantarero, Santiago & Marques, Helena, 2023. "Location, profitability, and international trade liberalization in European textile-clothing firms," Economic Modelling, Elsevier, vol. 129(C).
    13. Ng, Choy Peng & Law, Teik Hua & Jakarni, Fauzan Mohd & Kulanthayan, S., 2018. "Relative improvements in road mobility as compared to improvements in road accessibility and urban growth: A panel data analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 292-301.
    14. Xuhui Ding & Zhongyao Cai & Qianqian Xiao & Suhui Gao, 2019. "A Study on The Driving Factors and Spatial Spillover of Carbon Emission Intensity in The Yangtze River Economic Belt under Double Control Action," IJERPH, MDPI, vol. 16(22), pages 1-15, November.
    15. Christian M. Hafner, 2020. "The Spread of the Covid-19 Pandemic in Time and Space," IJERPH, MDPI, vol. 17(11), pages 1-13, May.
    16. Kwok, Hon Ho, 2019. "Identification and estimation of linear social interaction models," Journal of Econometrics, Elsevier, vol. 210(2), pages 434-458.
    17. Ming He & Kuan-Pin Lin, 2015. "Testing in a Random Effects Panel Data Model with Spatially Correlated Error Components and Spatially Lagged Dependent Variables," Econometrics, MDPI, vol. 3(4), pages 1-36, November.
    18. Li Yue & Dan Xue & Muhammad Umar Draz & Fayyaz Ahmad & Jiaojiao Li & Farrukh Shahzad & Shahid Ali, 2020. "The Double-Edged Sword of Urbanization and Its Nexus with Eco-Efficiency in China," IJERPH, MDPI, vol. 17(2), pages 1-20, January.
    19. Yannis PSYCHARIS & Antonis ROVOLIS & Vassilis TSELIOS & Panayotis PANTAZIS, 2014. "Economic Crisis And Regional Development In Greece," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 39, pages 67-85.
    20. Sun, Yiguo & Malikov, Emir, 2017. "Estimation and Inference in Functional-Coefficient Spatial Autoregressive Panel Data Models with Fixed Effects," MPRA Paper 83671, University Library of Munich, Germany.
    21. Qunxi Kong & Rongrong Li & Y. Ni & Dan Peng, 2022. "Does China’s green economic recovery generate a spatial convergence trend: an explanation using agglomeration effects and fiscal instruments," Economic Change and Restructuring, Springer, vol. 55(4), pages 2499-2526, November.
    22. Millo, Giovanni, 2017. "A simple randomization test for spatial correlation in the presence of common factors and serial correlation," Regional Science and Urban Economics, Elsevier, vol. 66(C), pages 28-38.
    23. Glass, Anthony J. & Kenjegalieva, Karligash & Douch, Mustapha, 2020. "Uncovering spatial productivity centers using asymmetric bidirectional spillovers," European Journal of Operational Research, Elsevier, vol. 285(2), pages 767-788.
    24. Ou Bianling & Long Zhihe & Li Wenqian, 2019. "Bootstrap LM Tests for Spatial Dependence in Panel Data Models with Fixed Effects," Journal of Systems Science and Information, De Gruyter, vol. 7(4), pages 330-343, August.
    25. 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.

  25. Lee, Lung-fei & Yu, Jihai, 2011. "Estimation of Spatial Panels," Foundations and Trends(R) in Econometrics, now publishers, vol. 4(1–2), pages 1-164, April.

    Cited by:

    1. Gençay, Ramazan & Signori, Daniele & Xue, Yi & Yu, Xiao & Zhang, Keyi, 2015. "Economic links and credit spreads," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 157-169.
    2. Atsushi Kawamoto, 2012. "An empirical analysis on intergovernmental strategic interaction in tax policy: Evidence from capital taxation in Japan," Discussion papers ron238, Policy Research Institute, Ministry of Finance Japan.
    3. Roberto Ganau, 2017. "Institutions and economic growth in Africa: a spatial econometric approach," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 34(3), pages 425-444, December.
    4. Anna Gloria Billé & Marco Rogna, 2022. "The effect of weather conditions on fertilizer applications: A spatial dynamic panel data analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 3-36, January.
    5. 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.
    6. Ou Bianling & Long Zhihe & Li Wenqian, 2019. "Bootstrap LM Tests for Spatial Dependence in Panel Data Models with Fixed Effects," Journal of Systems Science and Information, De Gruyter, vol. 7(4), pages 330-343, August.

  26. Lee, Lung-fei & Yu, Jihai, 2010. "A Spatial Dynamic Panel Data Model With Both Time And Individual Fixed Effects," Econometric Theory, Cambridge University Press, vol. 26(2), pages 564-597, April.

    Cited by:

    1. Nagayasu, Jun, 2014. "Regional inflation, spatial location and the Balassa-Samuelson effect," MPRA Paper 59220, University Library of Munich, Germany.
    2. Christopher L. Foote, 2007. "Space and time in macroeconomic panel data: young workers and state-level unemployment revisited," Working Papers 07-10, Federal Reserve Bank of Boston.
    3. Isabel Dinis, 2023. "Exploring the Drivers of Microregional Agricultural Labor Productivity: Empirical Insights from Portugal," Agriculture, MDPI, vol. 13(11), pages 1-19, November.
    4. Asgharian, Hossein & Hess, Wolfgang & Liu, Lu, 2013. "A spatial analysis of international stock market linkages," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4738-4754.
    5. Millo, Giovanni, 2014. "Maximum likelihood estimation of spatially and serially correlated panels with random effects," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 914-933.
    6. Álvarez-Gamboa, Javier & Cabrera-Barona, Pablo & Jácome-Estrella, Hugo, 2021. "Financial inclusion and multidimensional poverty in Ecuador: A spatial approach," World Development Perspectives, Elsevier, vol. 22(C).
    7. Roberto Basile & Aleksandra Parteka & Rosanna Pittiglio, 2016. "Export diversification and economic development: a dynamic spatial data analysis," Working Papers LuissLab 16127, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    8. Chenggang Li & Tao Lin & Zhenci Xu, 2021. "Impact of Hydropower on Air Pollution and Economic Growth in China," Energies, MDPI, vol. 14(10), pages 1-20, May.
    9. Xiangjing Zeng & Yong Ma & Jie Ren & Biao He, 2022. "Analysis of the Green Development Effects of High-Speed Railways Based on Eco-Efficiency: Evidence from Multisource Remote Sensing and Statistical Data of Urban Agglomerations in the Middle Reaches of," IJERPH, MDPI, vol. 19(24), pages 1-20, December.
    10. Jieun Lee, 2022. "Testing Endogeneity of Spatial Weights Matrices in Spatial Dynamic Panel Data Models," Papers 2209.05563, arXiv.org.
    11. Denbee, Edward & Julliard, Christian & Li, Ye & Yuan, Kathy, 2021. "Network risk and key players: A structural analysis of interbank liquidity," Journal of Financial Economics, Elsevier, vol. 141(3), pages 831-859.
    12. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar, 2022. "Dynamic Spatiotemporal ARCH Models," Papers 2202.13856, arXiv.org.
    13. Huang, Hongyun & Wang, Fengrong & Song, Malin & Balezentis, Tomas & Streimikiene, Dalia, 2021. "Green innovations for sustainable development of China: Analysis based on the nested spatial panel models," Technology in Society, Elsevier, vol. 65(C).
    14. Júlia Gallego Ziero Uhr & André Luis Squarize Chagas, Daniel de Abreu Pereira Uhr, Renan Porn Peres, 2017. "A study on environmental infractions for Brazilian municipalities: a spatial dynamic panel approach," Working Papers, Department of Economics 2017_13, University of São Paulo (FEA-USP).
    15. Luping Shi & Zhongyao Cai & Xuhui Ding & Rong Di & Qianqian Xiao, 2020. "What Factors Affect the Level of Green Urbanization in the Yellow River Basin in the Context of New-Type Urbanization?," Sustainability, MDPI, vol. 12(6), pages 1-15, March.
    16. Francesc Amat & Pablo Beramendi & Miriam Hortas-Rico & Vicente Rios, 2020. "How inequality shapes political participation: The role of spatial patterns of political competition," Working Papers. Collection B: Regional and sectoral economics 2002, Universidade de Vigo, GEN - Governance and Economics research Network.
    17. Borck, Rainald & Fossen, Frank M. & Freier, Ronny & Martin, Thorsten, 2015. "Race to the debt trap? — Spatial econometric evidence on debt in German municipalities," Regional Science and Urban Economics, Elsevier, vol. 53(C), pages 20-37.
    18. Roberto Basile & Alessandro Girardi & Marianna Mantuano & Giuseppe Russo, 2016. "Interregional Migration, Human Capital Externalities and Unemployment Dynamics: Evidence from Italian Provinces," CSEF Working Papers 460, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    19. Benjamin Montmartin & Marcos Herrera & Nadine Massard, 2018. "The impact of the French policy mix on business R&D: How geography matters," Post-Print hal-01847012, HAL.
    20. Lottmann, Franziska, 2012. "Spatial dependencies in German matching functions," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 27-41.
    21. Hanen Ragoubi & Zouheir Mighri, 2021. "Spillover effects of trade openness on CO2 emissions in middle‐income countries: A spatial panel data approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(3), pages 835-877, June.
    22. Duan, Kun & Mishra, Tapas & Parhi, Mamata, 2018. "Space matters: Understanding the real effects of macroeconomic variations in cross-country housing price movements," Economics Letters, Elsevier, vol. 163(C), pages 130-135.
    23. Niu, Honglei & Lekse, William, 2017. "Carbon emission effect of urbanization at regional level: Empirical evidence from China," Economics Discussion Papers 2017-62, Kiel Institute for the World Economy (IfW Kiel).
    24. Candelon, Bertrand & Carare, Alina & Miao, Keith, 2016. "Revisiting the new normal hypothesis," Journal of International Money and Finance, Elsevier, vol. 66(C), pages 5-31.
    25. Vincent, Rose Camille & Osei Kwadwo, Victor, 2022. "Spatial interdependence and spillovers of fiscal grants in Benin: Static and dynamic diffusions," World Development, Elsevier, vol. 158(C).
    26. Giulio Cainelli & Sandro Montresor & Giuseppi Vittucci Marzetti, 2013. "Spatial agglomeration and firm exit: a spatial dynamic analysis for Italian provinces," "Marco Fanno" Working Papers 0173, Dipartimento di Scienze Economiche "Marco Fanno".
    27. Federica Cappelli & Caterina Conigliani & Valeria Costantini & Keti Lelo & Anil Markandya & Elena Paglialunga & Giorgia Sforna, 2020. "Do spatial interactions fuel the climate-conflict vicious cycle? The case of the African continent," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-52, December.
    28. Carmelo Algeri & Antonio F. Forgione & Carlo Migliardo, 2022. "Do spatial dependence and market power matter in the diversification of cooperative banks?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 51(3), November.
    29. 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.
    30. LeSage, James P. & Chih, Yao-Yu & Vance, Colin, 2018. "Markov chain Monte Carlo estimation of spatial dynamic panel models for large samples," Ruhr Economic Papers 769, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    31. Bera, Anil K. & Doğan, Osman & Taşpınar, Süleyman, 2018. "Simple tests for endogeneity of spatial weights matrices," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 130-142.
    32. Atems, Bebonchu, 2015. "Another look at tax policy and state economic growth: The long-run and short-run of it," Economics Letters, Elsevier, vol. 127(C), pages 64-67.
    33. Roger Bivand & Giovanni Millo & Gianfranco Piras, 2021. "A Review of Software for Spatial Econometrics in R," Mathematics, MDPI, vol. 9(11), pages 1-40, June.
    34. Bera Anil K. & Doğan Osman & Taşpınar Süleyman, 2019. "Testing Spatial Dependence in Spatial Models with Endogenous Weights Matrices," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-33, January.
    35. J. Sebastian Leguizamon & Casto Martin Montero Kuscevic, 2019. "Party Cues, Political Trends, And Fiscal Interactions In The United States," Contemporary Economic Policy, Western Economic Association International, vol. 37(4), pages 600-620, October.
    36. Fossen, Frank M. & Martin, Thorsten, 2018. "Entrepreneurial dynamics over space and time," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 204-214.
    37. Sida Peng, 2019. "Heterogeneous Endogenous Effects in Networks," Papers 1908.00663, arXiv.org.
    38. Benjamin Verhelst & Dirk Van den Poel, 2014. "Deep habits in consumption: a spatial panel analysis using scanner data," Empirical Economics, Springer, vol. 47(3), pages 959-976, November.
    39. Mengqi Zhang & Boping Tian, 2023. "Profile Maximum Likelihood Estimation of Single-Index Spatial Dynamic Panel Data Model," Mathematics, MDPI, vol. 11(13), pages 1-16, July.
    40. Jakub Olejnik & Alicja Olejnik, 2017. "Improved asymptotic analysis of Gaussian QML estimators in spatial models," Lodz Economics Working Papers 9/2017, University of Lodz, Faculty of Economics and Sociology.
    41. Roxana Manea & Patrizio Piraino & Martina Viarengo, 2021. "Crime, Inequality and Subsidized Housing: Evidence from South Africa," CESifo Working Paper Series 8914, CESifo.
    42. Shahnazi, Rouhollah & Dehghan Shabani, Zahra, 2020. "Do renewable energy production spillovers matter in the EU?," Renewable Energy, Elsevier, vol. 150(C), pages 786-796.
    43. Lin, Xu & Zhang, Jihu & Jiang, Shanhe, 2022. "Spatial and temporal correlations of crime in Detroit: Evidence from spatial dynamic panel data models," International Review of Law and Economics, Elsevier, vol. 72(C).
    44. Julián Ramajo & Alejandro Ricci-Risquete & Lourdes Jerez & Geoffrey J. D. Hewings, 2020. "Impacts of Neighbors on Local Tax Rates: A Space–Time Dynamic Panel Data Analysis," International Regional Science Review, , vol. 43(1-2), pages 105-127, January.
    45. Deborah Gefang & Stephen G. Hall & George S. Tavlas, 2022. "Fast Two-Stage Variational Bayesian Approach to Estimating Panel Spatial Autoregressive Models with Unrestricted Spatial Weights Matrices," Papers 2205.15420, arXiv.org, revised Aug 2023.
    46. Niu, Honglei & Lekse, William, 2018. "Carbon emission effect of urbanization at regional level: Empirical evidence from China," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-31.
    47. Docquier, F. & Vasilakis, Ch. & Tamfutu Munsi, D., 2014. "International migration and the propagation of HIV in sub-Saharan Africa," Journal of Health Economics, Elsevier, vol. 35(C), pages 20-33.
    48. Xuhui Ding & Zhongyao Cai & Qianqian Xiao & Suhui Gao, 2019. "A Study on The Driving Factors and Spatial Spillover of Carbon Emission Intensity in The Yangtze River Economic Belt under Double Control Action," IJERPH, MDPI, vol. 16(22), pages 1-15, November.
    49. Hory, Marie-Pierre, 2018. "Delayed mimicking: the timing of fiscal interactions in Europe," European Journal of Political Economy, Elsevier, vol. 55(C), pages 97-118.
    50. Xu, Xiaoliang & Xu, Xuefen & Chen, Qian & Che, Ying, 2016. "The research on generalized regional “resource curse” in China's new normal stage," Resources Policy, Elsevier, vol. 49(C), pages 12-19.
    51. Rios, Vicente & Gianmoena, Lisa, 2018. "Convergence in CO2 emissions: A spatial economic analysis with cross-country interactions," Energy Economics, Elsevier, vol. 75(C), pages 222-238.
    52. Millo, Giovanni & Piras, Gianfranco, 2012. "splm: Spatial Panel Data Models in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 47(i01).
    53. Konstantinos Eleftheriou & Evangelos Sambracos, 2019. "Tourism–growth nexus and spatial spillovers: Evidence from Greece," Tourism Economics, , vol. 25(2), pages 297-302, March.
    54. Wang, Miao & Wong, M.C. Sunny & Granato, Jim, 2015. "International Comovement of Economic Fluctuations: A Spatial Analysis," World Development, Elsevier, vol. 67(C), pages 186-201.
    55. Zhao, Jing & Zhao, Ziru & Zhang, Huan, 2021. "The impact of growth, energy and financial development on environmental pollution in China: New evidence from a spatial econometric analysis," Energy Economics, Elsevier, vol. 93(C).
    56. Wu, Jianhong & Li, Guodong, 2014. "Moment-based tests for individual and time effects in panel data models," Journal of Econometrics, Elsevier, vol. 178(P3), pages 569-581.
    57. Konan Alain N'Ghauran & Corinne Autant-Bernard, 2020. "Effects of cluster policies on regional innovation networks: Evidence from France," Working Papers halshs-02482565, HAL.
    58. Guo, Juncong & Qu, Xi, 2020. "Fixed effects spatial panel data models with time-varying spatial dependence," Economics Letters, Elsevier, vol. 196(C).
    59. Dauth, Wolfgang, 2010. "The mysteries of the trade: employment effects of urban interindustry spillovers," IAB-Discussion Paper 201015, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    60. 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.
    61. Alexakis, Christos & Eleftheriou, Konstantinos & Patsoulis, Patroklos, 2021. "COVID-19 containment measures and stock market returns: An international spatial econometrics investigation," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    62. Eleftheriou, Konstantinos, 2019. "Spillovers of tax audits in Greek tourist destinations," Annals of Tourism Research, Elsevier, vol. 76(C), pages 334-337.
    63. Li, Liyao & Yang, Zhenlin, 2018. "Spatial Dynamic Panel Data Models with Correlated Random Effects," Economics and Statistics Working Papers 15-2018, Singapore Management University, School of Economics.
    64. Baylis, Kathy & Paulson, Nicholas D. & Piras, Gianfranco, 2011. "Spatial Approaches to Panel Data in Agricultural Economics: A Climate Change Application," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 43(3), pages 325-338, August.
    65. Lina Lu, 2017. "Simultaneous Spatial Panel Data Models with Common Shocks," Supervisory Research and Analysis Working Papers RPA 17-3, Federal Reserve Bank of Boston.
    66. Timo Mitze & Torben Schmidt, 2015. "Internal migration, regional labor markets and the role of agglomeration economies," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(1), pages 61-101, October.
    67. 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.
    68. Anna Gloria Billé & Marco Rogna, 2022. "The effect of weather conditions on fertilizer applications: A spatial dynamic panel data analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 3-36, January.
    69. bouayad-agha-Hamouche, salima & turpin, nadine & védrine, lionel, 2012. "Fostering the potential endogenous development of European regions: a spatial dynamic panel data analysis of the Cohesion Policy," MPRA Paper 65470, University Library of Munich, Germany.
    70. Huang, Hongyun & Mo, Renbian & Chen, Xingquan, 2021. "New patterns in China's regional green development: An interval Malmquist–Luenberger productivity analysis," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 161-173.
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    72. Manuela Fritz, 2022. "Wave after wave: determining the temporal lag in Covid-19 infections and deaths using spatial panel data from Germany," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-30, December.
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    74. Jing Zhao & Xiaoru Zuo & Chun-Ping Chang, 2023. "More economic growth with the better public health? Evidence from Western China," Economic Change and Restructuring, Springer, vol. 56(2), pages 1083-1112, April.
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    78. Danqing Chen & Jianbao Chen & Shuangshuang Li, 2021. "Instrumental Variable Quantile Regression of Spatial Dynamic Durbin Panel Data Model with Fixed Effects," Mathematics, MDPI, vol. 9(24), pages 1-24, December.
    79. Jin, Fei & Lee, Lung-fei & Yu, Jihai, 2020. "First difference estimation of spatial dynamic panel data models with fixed effects," Economics Letters, Elsevier, vol. 189(C).
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    81. Yuan, Shenguo & Wu, Zhouheng, 2021. "Financial openness and Chinese regional growth imbalance: New insight from spatial spillovers," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    82. Christophe Muller & Pierre Pecher, 2018. "Transborder Ethnic Kin and Local Prosperity: Evidence from Night-Time Light Intensity in Africa," Working Papers halshs-01801170, HAL.
    83. Michael Alexeev & Yao-Yu Chih, 2017. "Oil Price Shocks and Economic Growth in the Us," CAEPR Working Papers 2017-011, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    84. Eleftheriou, Konstantinos & Patsoulis, Patroklos, 2020. "COVID-19 Lockdown Intensity and Stock Market Returns: A Spatial Econometrics Approach," MPRA Paper 100662, University Library of Munich, Germany.
    85. Jaepil Han & Deockhyun Ryu & Robin Sickles, 2016. "How to Measure Spillover Effects of Public Capital Stock: A Spatial Autoregressive Stochastic Frontier Model," Advances in Econometrics, in: Spatial Econometrics: Qualitative and Limited Dependent Variables, volume 37, pages 259-294, Emerald Group Publishing Limited.
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    113. Solmaria Halleck Vega & J. Paul Elhorst, 2017. "Regional labour force participation across the European Union: a time–space recursive modelling approach with endogenous regressors," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(2-3), pages 138-160, July.
    114. Maza, Adolfo & Hierro, María & Villaverde, José, 2012. "Income distribution dynamics across European regions: Re-examining the role of space," Economic Modelling, Elsevier, vol. 29(6), pages 2632-2640.
    115. Dechun Liu & Xinye Zheng & Yihua Yu, 2022. "Public Debt Competition in Local China: Evidence and Mechanism of Spatial Interactions," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S2), pages 91-105, November.
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    117. B. Fingleton & C. Ertur, 2012. "Editorial," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(1), pages 1-8, March.
    118. Yang, Zhenlin & Yu, Jihai & Liu, Shew Fan, 2016. "Bias correction and refined inferences for fixed effects spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 52-72.
    119. Philipp Otto & Wolfgang Schmid, 2018. "Spatiotemporal analysis of German real-estate prices," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 41-72, January.
    120. Chakir, Raja & Le Gallo, Julie, 2013. "Predicting land use allocation in France: A spatial panel data analysis," Ecological Economics, Elsevier, vol. 92(C), pages 114-125.
    121. Marynia Kolak & Luc Anselin, 2020. "A Spatial Perspective on the Econometrics of Program Evaluation," International Regional Science Review, , vol. 43(1-2), pages 128-153, January.
    122. Pei Liu & Jiajun Xu & Xiaojun Yang, 2023. "Spatial Difference and Convergence of Ecological Common Prosperity: Evidence from the Yellow River Basin in China," IJERPH, MDPI, vol. 20(4), pages 1-22, February.
    123. Elhorst, J. Paul & Madre, Jean-Loup & Pirotte, Alain, 2020. "Car traffic, habit persistence, cross-sectional dependence, and spatial heterogeneity: New insights using French departmental data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 614-632.
    124. Michael Pfaffermayr, 2013. "The Cliff and Ord Test for Spatial Correlation of the Disturbances in Unbalanced Panel Models," International Regional Science Review, , vol. 36(4), pages 492-506, October.
    125. Celbis M.G. & Crombrugghe D.P.I. de, 2014. "Can internet infrastructure help reduce regional disparities? : evidence from Turkey," MERIT Working Papers 2014-078, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    126. Yan, Bin & Wang, Feng & Chen, Tian & Liu, Siyu & Bai, Xiaoxuan, 2023. "Digital finance, environmental regulation and emission reduction in manufacturing industry: New evidence incorporating dynamic spatial-temporal correlation and competition," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 750-763.
    127. Yang, Kai & Lee, Lung-fei, 2021. "Estimation of dynamic panel spatial vector autoregression: Stability and spatial multivariate cointegration," Journal of Econometrics, Elsevier, vol. 221(2), pages 337-367.
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    131. Han, Xiaoyi & Hsieh, Chih-Sheng & Lee, Lung-fei, 2017. "Estimation and model selection of higher-order spatial autoregressive model: An efficient Bayesian approach," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 97-120.
    132. Shi, Wei & Lee, Lung-fei, 2017. "Spatial dynamic panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 197(2), pages 323-347.
    133. Hiller, Norbert & Lerbs, Oliver W., 2016. "Aging and urban house prices," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 276-291.
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    135. Michaela Fuchs, 2016. "Unemployment decline in East Germany: the role of demography," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 36(2), pages 145-168, October.
    136. Xu, Xingbai & Lee, Lung-fei, 2015. "A spatial autoregressive model with a nonlinear transformation of the dependent variable," Journal of Econometrics, Elsevier, vol. 186(1), pages 1-18.
    137. Ryan R. Brady, 2021. "Direct Forecasting for Applied Regional Analysis," Departmental Working Papers 67, United States Naval Academy Department of Economics.
    138. Patacchini, Eleonora & Hsieh, Chih-Sheng & Lin, Xu, 2019. "Social Interaction Methods," CEPR Discussion Papers 14141, C.E.P.R. Discussion Papers.
    139. Fuchs, Michaela & Weyh, Antje, 2014. "Demography and unemployment in East Germany : how close are the ties?," IAB-Discussion Paper 201426, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    140. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2012. "Estimation for spatial dynamic panel data with fixed effects: The case of spatial cointegration," Journal of Econometrics, Elsevier, vol. 167(1), pages 16-37.
    141. Bernard Fingleton, 2023. "Estimating dynamic spatial panel data models with endogenous regressors using synthetic instruments," Journal of Geographical Systems, Springer, vol. 25(1), pages 121-152, January.
    142. Solmaria Halleck Vega & J. Paul Elhorst, 2015. "The Slx Model," Journal of Regional Science, Wiley Blackwell, vol. 55(3), pages 339-363, June.
    143. Alice Barreca, 2022. "Architectural Quality and the Housing Market: Values of the Late Twentieth Century Built Heritage," Sustainability, MDPI, vol. 14(5), pages 1-24, February.
    144. Moscone, Francesco & Tosetti, Elisa & Canepa, Alessandra, 2014. "Real estate market and financial stability in US metropolitan areas: A dynamic model with spatial effects," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 129-146.
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    146. Cuong Nguyen & Ilan Noy, 2018. "Measuring the Impact of Insurance on Urban Recovery with Light: The 2010-2011 New Zealand Earthquakes," CESifo Working Paper Series 7031, CESifo.
    147. Anna Gloria Billé & Massimiliano Caporin, 2022. "Impact of COVID-19 on financial returns: a spatial dynamic panel data model with random effects," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-21, December.

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    Cited by:

    1. Cizek, P. & Jacobs, J. & Ligthart, J.E. & Vrijburg, H., 2015. "GMM Estimation of Fixed Effects Dynamic Panel Data Models with Spatial Lag and Spatial Errors (Revised version of CentER DP 2011-134)," Discussion Paper 2015-003, Tilburg University, Center for Economic Research.
    2. Pesaran, M. Hashem & Tosetti, Elisa, 2007. "Large Panels with Common Factors and Spatial Correlations," IZA Discussion Papers 3032, Institute of Labor Economics (IZA).
    3. Badi H. Baltagi & Bernard Fingleton & Alain Pirotte, 2011. "Estimating and Forecasting with a Dynamic Spatial Panel Data Model," SERC Discussion Papers 0095, Centre for Economic Performance, LSE.
    4. Arbués, Ignacio & Ledo, Ramiro & Matilla-García, Mariano, 2016. "Automatic identification of general vector error correction models," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 10, pages 1-41.
    5. Nicolas Debarsy & Cyrille Dossougoin & Cem Ertur & Jean-Yves Gnabo, 2018. "Measuring sovereign risk spillovers and assessing the role of transmission channels: A spatial econometrics approach," Post-Print hal-01744629, HAL.
    6. Xiaowen Dai & Libin Jin, 2021. "Minimum distance quantile regression for spatial autoregressive panel data models with fixed effects," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-13, December.
    7. Carmelo Algeri & Antonio F. Forgione & Carlo Migliardo, 2022. "Do spatial dependence and market power matter in the diversification of cooperative banks?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 51(3), November.
    8. 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.
    9. Mengqi Zhang & Boping Tian, 2023. "Profile Maximum Likelihood Estimation of Single-Index Spatial Dynamic Panel Data Model," Mathematics, MDPI, vol. 11(13), pages 1-16, July.
    10. Hory, Marie-Pierre, 2018. "Delayed mimicking: the timing of fiscal interactions in Europe," European Journal of Political Economy, Elsevier, vol. 55(C), pages 97-118.
    11. Millo, Giovanni & Piras, Gianfranco, 2012. "splm: Spatial Panel Data Models in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 47(i01).
    12. Taspinar, Suleyman & Dogan, Osman & Bera, Anil K., 2017. "GMM Gradient Tests for Spatial Dynamic Panel Data Models," MPRA Paper 82830, University Library of Munich, Germany.
    13. Li, Liyao & Yang, Zhenlin, 2018. "Spatial Dynamic Panel Data Models with Correlated Random Effects," Economics and Statistics Working Papers 15-2018, Singapore Management University, School of Economics.
    14. Baylis, Kathy & Paulson, Nicholas D. & Piras, Gianfranco, 2011. "Spatial Approaches to Panel Data in Agricultural Economics: A Climate Change Application," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 43(3), pages 325-338, August.
    15. Lina Lu, 2017. "Simultaneous Spatial Panel Data Models with Common Shocks," Supervisory Research and Analysis Working Papers RPA 17-3, Federal Reserve Bank of Boston.
    16. Su, Liangjun & Yang, Zhenlin, 2015. "QML estimation of dynamic panel data models with spatial errors," Journal of Econometrics, Elsevier, vol. 185(1), pages 230-258.
    17. Cizek, P. & Jacobs, J.P.A.M. & Ligthart, J.E. & Vrijburg, H., 2011. "GMM Estimation of Fixed Effects Dynamic Panel Data Models with Spatial Lag and Spatial Errors (Replaced by CentER DP 2015-003)," Discussion Paper 2011-134, Tilburg University, Center for Economic Research.
    18. 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.
    19. Danqing Chen & Jianbao Chen & Shuangshuang Li, 2021. "Instrumental Variable Quantile Regression of Spatial Dynamic Durbin Panel Data Model with Fixed Effects," Mathematics, MDPI, vol. 9(24), pages 1-24, December.
    20. Jin, Fei & Lee, Lung-fei & Yu, Jihai, 2020. "First difference estimation of spatial dynamic panel data models with fixed effects," Economics Letters, Elsevier, vol. 189(C).
    21. 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.
    22. Glass, Anthony J. & Kenjegalieva, Karligash & Sickles, Robin C. & Weyman-Jones, Thomas, 2018. "The Spatial Efficiency Multiplier and Common Correlated Effects in a Spatial Autoregressive Stochastic Frontier Model," Working Papers 18-003, Rice University, Department of Economics.
    23. Lee, Lung-fei & Yu, Jihai, 2014. "Efficient GMM estimation of spatial dynamic panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 180(2), pages 174-197.
    24. Badi H. Baltagi & Junjie Shu, 2024. "A Survey of Spatial Unit Roots," Mathematics, MDPI, vol. 12(7), pages 1-31, March.
    25. Qu, Xi & Lee, Lung-fei & Yu, Jihai, 2017. "QML estimation of spatial dynamic panel data models with endogenous time varying spatial weights matrices," Journal of Econometrics, Elsevier, vol. 197(2), pages 173-201.
    26. Yang, Zhenlin & Yu, Jihai & Liu, Shew Fan, 2016. "Bias correction and refined inferences for fixed effects spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 52-72.
    27. 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.
    28. Jean Dubé & Diego Legros, 2013. "Dealing with spatial data pooled over time in statistical models," Post-Print halshs-01227128, HAL.
    29. Xiaowen Dai & Shidan Huang & Libin Jin & Maozai Tian, 2023. "Wild Bootstrap-Based Bias Correction for Spatial Quantile Panel Data Models with Varying Coefficients," Mathematics, MDPI, vol. 11(9), pages 1-16, April.
    30. Yang, Kai & Lee, Lung-fei, 2021. "Estimation of dynamic panel spatial vector autoregression: Stability and spatial multivariate cointegration," Journal of Econometrics, Elsevier, vol. 221(2), pages 337-367.
    31. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2012. "Estimation for spatial dynamic panel data with fixed effects: The case of spatial cointegration," Journal of Econometrics, Elsevier, vol. 167(1), pages 16-37.
    32. Lee, Lung-fei & Yu, Jihai, 2010. "Some recent developments in spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 255-271, September.

  29. Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.

    Cited by:

    1. Dasgupta, Susmita & Hossain, Md. Moqbul & Huq, Mainul & Wheeler, David, 2018. "Climate Change, Salinization and High-Yield Rice Production in Coastal Bangladesh," Agricultural and Resource Economics Review, Cambridge University Press, vol. 47(1), pages 66-89, April.
    2. Corinne Autant-Bernard, 2011. "Spatial econometrics of innovation : Recent contributions and research perspectives," Working Papers 1120, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    3. Chaonan Jiang & Davide La Vecchia & Elvezio Ronchetti & O. Scaillet, 2019. "Saddlepoint Approximations for Spatial Panel Data Models," Swiss Finance Institute Research Paper Series 19-18, Swiss Finance Institute, revised Mar 2019.
    4. Matthias Koch, 2011. "Parameter spaces for stationary DGPs in spatial econometric modelling," ERSA conference papers ersa11p1147, European Regional Science Association.
    5. Zhiheng Ji & Wei Yu, 2022. "Research on Spatial Difference, Distribution Dynamics and Influencing Factors of Urban Water-Use Efficiency in the Yellow River Basin," Sustainability, MDPI, vol. 15(1), pages 1-15, December.
    6. Nagayasu, Jun, 2014. "Regional inflation, spatial location and the Balassa-Samuelson effect," MPRA Paper 59220, University Library of Munich, Germany.
    7. Edo, Samson & Osadolor, Nneka Esther & Dading, Isuwa Festus, 2020. "Growing external debt and declining export: The concurrent impediments in economic growth of Sub-Saharan African countries," International Economics, Elsevier, vol. 161(C), pages 173-187.
    8. Liqian Cai & Arnab Bhattacharjee & Roger Calantone & Taps Maiti, 2019. "Variable Selection with Spatially Autoregressive Errors: A Generalized Moments LASSO Estimator," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 81(1), pages 146-200, September.
    9. Natalia Bailey & Sean Holly & M. Hashem Pesaran, 2016. "A Two‐Stage Approach to Spatio‐Temporal Analysis with Strong and Weak Cross‐Sectional Dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(1), pages 249-280, January.
    10. Grenestam, Erik & Nordin, Martin, 2018. "Estimating the impact of agri-environmental payments on nutrient runoff using a unique combination of data," Land Use Policy, Elsevier, vol. 75(C), pages 388-398.
    11. Ertur, C. & Musolesi, A., 2013. "Weak and strong cross-sectional dependence: a panel data analysis of international technology diffusion," Working Papers 2013-09, Grenoble Applied Economics Laboratory (GAEL).
    12. Nicolas Debarsy & Jean-Yves Gnabo & Malik Kerkour, 2017. "Sovereign Wealth Funds’ cross-border investments: assessing the role of country-level drivers and spatial competition," Post-Print hal-01251243, HAL.
    13. Lee, Lung-fei & Yu, Jihai, 2015. "Estimation of fixed effects panel regression models with separable and nonseparable space–time filters," Journal of Econometrics, Elsevier, vol. 184(1), pages 174-192.
    14. Yang, Zhenlin, 2015. "A general method for third-order bias and variance corrections on a nonlinear estimator," Journal of Econometrics, Elsevier, vol. 186(1), pages 178-200.
    15. Hidalgo, Javier & Schafgans, Marcia, 2017. "Inference and testing breaks in large dynamic panels with strong cross sectional dependence," Journal of Econometrics, Elsevier, vol. 196(2), pages 259-274.
    16. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2019. "Estimation and inference for spatial models with heterogeneous coefficients: an application to U.S. house prices," CESifo Working Paper Series 7542, CESifo.
    17. Millo, Giovanni, 2014. "Maximum likelihood estimation of spatially and serially correlated panels with random effects," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 914-933.
    18. Qian Zhang & Decai Tang & Brandon J. Bethel, 2021. "Impact of Urbanization on the Environmental Regulation Efficiency in the Yangtze River Basin Based on the Empirical Analysis of Spatial Econometrics," IJERPH, MDPI, vol. 18(17), pages 1-20, August.
    19. Souza, Helson Gomes de & Tabosa, Francisco José Silva & Araujo, Jair Andrade, 2019. "Income elasticities and inequality of poverty in urban and rural areas of the Brazilian states: a spatial approach," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    20. Aida, Takeshi, 2015. "Spatial vs. Social Network Effects in Risk Sharing," Working Papers 89, JICA Research Institute.
    21. Wozniak Marcin, 2020. "Forecasting the unemployment rate over districts with the use of distinct methods," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-20, April.
    22. Xu, Yuhong & Yang, Zhenlin, 2020. "Specification Tests for Temporal Heterogeneity in Spatial Panel Data Models with Fixed Effects," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    23. Shin, Su Hyun & Ji, Hyunjung, 2021. "Health risks of natural hazards and resilience resources: Evidence from a U.S. nationwide longitudinal study," Social Science & Medicine, Elsevier, vol. 281(C).
    24. Esposito, Piero & Patriarca, Fabrizio & Salvati, Luca, 2018. "Tertiarization and land use change: The case of Italy," Economic Modelling, Elsevier, vol. 71(C), pages 80-86.
    25. Liang, Jinwen & Härdle, Wolfgang Karl & Tian, Maozai, 2023. "Imputed quantile tensor regression for near-sited spatial-temporal data," Computational Statistics & Data Analysis, Elsevier, vol. 182(C).
    26. Adugna Lemi & Liyan Liu & Ian A. Wright, 2021. "Location choice determinants of Chinese and US firms in Africa: Does spatial interdependence play a role?," The World Economy, Wiley Blackwell, vol. 44(10), pages 2966-2997, October.
    27. Askarov, Zohid & Doucouliagos, Hristos, 2015. "Spatial aid spillovers during transition," European Journal of Political Economy, Elsevier, vol. 40(PA), pages 79-95.
    28. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2012. "A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model," Journal of Econometrics, Elsevier, vol. 170(1), pages 164-177.
    29. Atems, Bebonchu, 2013. "The spatial dynamics of growth and inequality: Evidence using U.S. county-level data," Economics Letters, Elsevier, vol. 118(1), pages 19-22.
    30. Hongwei Xiao & Zhongyu Ma & Peng Zhang & Ming Liu, 2019. "Study of the impact of energy consumption structure on carbon emission intensity in China from the perspective of spatial effects," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1365-1380, December.
    31. Masayoshi Hayashi & Wataru Yamamoto, 2017. "Information sharing, neighborhood demarcation, and yardstick competition: an empirical analysis of intergovernmental expenditure interaction in Japan," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(1), pages 134-163, February.
    32. Pesaran, M. Hashem & Tosetti, Elisa, 2007. "Large Panels with Common Factors and Spatial Correlations," IZA Discussion Papers 3032, Institute of Labor Economics (IZA).
    33. Yu Liu & Hongwei Xiao & Precious Zikhali & Yingkang Lv, 2014. "Carbon Emissions in China: A Spatial Econometric Analysis at the Regional Level," Sustainability, MDPI, vol. 6(9), pages 1-19, September.
    34. Cajas-Guijarro, John & Pérez-Almeida, Bryan, 2021. "Comercio, sobreexplotación laboral y ciclos en la periferia: una propuesta teórica y el caso ecuatoriano desde un modelo PVAR. || Trade, super-exploitation of labor power and cycles in the periphery: ," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 31(1), pages 161-197, June.
    35. Tong, Tingting & Yu, Tun-Hsiang Edward & Cho, Seong-Hoon & Jensen, Kimberly & De La Torre Ugarte, Daniel, 2013. "Evaluating the spatial spillover effects of transportation infrastructure on agricultural output across the United States," Journal of Transport Geography, Elsevier, vol. 30(C), pages 47-55.
    36. Badi H. Baltagi & Bernard Fingleton & Alain Pirotte, 2011. "Estimating and Forecasting with a Dynamic Spatial Panel Data Model," SERC Discussion Papers 0095, Centre for Economic Performance, LSE.
    37. Tan, Xiujie & Yan, Yaxue & Dong, Yuyang, 2022. "Peer effect in green credit induced green innovation: An empirical study from China's Green Credit Guidelines," Resources Policy, Elsevier, vol. 76(C).
    38. Víctor Hugo Torres-Preciado & Mayrén Polanco-Gaytán & Miguel A. Tinoco-Zermeño, 2017. "Crime and regional economic growth in Mexico: A spatial perspective," Papers in Regional Science, Wiley Blackwell, vol. 96(3), pages 477-494, August.
    39. Zhonghua Cheng & Xiaowen Hu, 2023. "The effects of urbanization and urban sprawl on CO2 emissions in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1792-1808, February.
    40. Vicente Rios Ibáñez & Roberto Ezcurra, 2013. "Volatility and regional growth in Europe: Does space matter?," ERSA conference papers ersa13p133, European Regional Science Association.
    41. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2015. "Quasi Maximum Likelihood Estimation of Spatial Models with Heterogeneous Coefficients," Working Papers 749, Queen Mary University of London, School of Economics and Finance.
    42. Chao Li & John Gibson & Geua Boe-Gibson, 2022. "Rising immigration and falling native-born home ownership: a spatial econometric analysis for New Zealand," New Zealand Economic Papers, Taylor & Francis Journals, vol. 56(3), pages 318-325, September.
    43. Javier Hidalgo & Marcia M Schafgans, 2015. "Inference and Testing Breaks in Large Dynamic Panels with Strong Cross Sectional Dependence," STICERD - Econometrics Paper Series /2015/583, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    44. Badi H. Baltagi & Alain Pirotte & Zhenlin Yang, 2021. "Diagnostic tests for homoskedasticity in spatial cross-sectional or panel models," Post-Print hal-04120461, HAL.
    45. Maria Lucia Parrella & Giuseppina Albano & Cira Perna & Michele La Rocca, 2021. "Bootstrap joint prediction regions for sequences of missing values in spatio-temporal datasets," Computational Statistics, Springer, vol. 36(4), pages 2917-2938, December.
    46. Takeshi Aida, 2020. "Revisiting suicide rate during wartime: Evidence from the Sri Lankan civil war," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-20, October.
    47. Hans DEWACHTER & Romain HOUSSA & Priscilla TOFFANO, 2010. "Spatial propagation of macroeconomic shocks in Europe," Working Papers of Department of Economics, Leuven ces10.12, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    48. Bottasso, Anna & Conti, Maurizio & Ferrari, Claudio & Tei, Alessio, 2014. "Ports and regional development: A spatial analysis on a panel of European regions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 65(C), pages 44-55.
    49. Michele Battisti & Ilpo Kauppinen & Britta Rude, 2022. "Twitter and Crime: The Effect of Social Movements on GenderBased Violence," ifo Working Paper Series 381, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    50. Özyurt, Selin & Mitze, Timo, 2012. "The Spatial Dimension of Trade- and FDI-driven Productivity Growth in Chinese Provinces – A Global Cointegration Approach," Ruhr Economic Papers 308, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    51. Herrera Gómez, Marcos, 2017. "Fundamentos de Econometría Espacial Aplicada [Fundamentals of Applied Spatial Econometrics]," MPRA Paper 80871, University Library of Munich, Germany.
    52. Arbués, Pelayo & Baños, José F. & Mayor, Matías, 2015. "The spatial productivity of transportation infrastructure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 166-177.
    53. Dolton, Peter & Bondibene, Chiara Rosazza & Stops, Michael, 2015. "Identifying the employment effect of invoking and changing the minimum wage: A spatial analysis of the UK," Labour Economics, Elsevier, vol. 37(C), pages 54-76.
    54. Brian Piper, 2014. "Factor-Specific Productivity," Working Papers 1401, Sam Houston State University, Department of Economics and International Business.
    55. Rita De Siano & Marcella D'Uva, 2013. "Does decentralization affect regional public spending in Italy?," Discussion Papers 1_2013, CRISEI, University of Naples "Parthenope", Italy.
    56. Antonio Mihi-Ramirez & Elias Melchor-Ferrer & Yolanda Garcia-Rodriguez, 2022. "Why Do Regions Differ in Growth? The Productivity of the Eurozone and Its Contribution to the Added Value of Its European Neighbors," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
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    319. Dasgupta, Susmita & Hossain, Md. Moqbul & Huq, Mainul & Wheeler, David, 2014. "Climate change, soil salinity, and the economics of high-yield rice production in coastal Bangladesh," Policy Research Working Paper Series 7140, The World Bank.
    320. Hülya Saygılı, 2020. "Sectoral inflationary dynamics: cross-country evidence on the open-economy New Keynesian Phillips Curve," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 156(1), pages 75-101, February.
    321. Frank M. Fossen & Lukas Mergele & Nicolas Pardo, 2017. "Fueling fiscal interactions: commodity price shocks and local government spending in Colombia," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(4), pages 616-651, August.
    322. Shi, Wei & Lee, Lung-fei, 2017. "Spatial dynamic panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 197(2), pages 323-347.
    323. Wang, Jinsong & Gao, Dongdong & Shi, Wei & Du, Jiayan & Huang, Zhuo & Liu, Buyuan, 2023. "Spatio-temporal changes in ecosystem service value: Evidence from the economic development of urbanised regions," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    324. Hiller, Norbert & Lerbs, Oliver W., 2016. "Aging and urban house prices," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 276-291.
    325. Bai, Jushan & Li, Kunpeng, 2013. "Spatial panel data models with common shocks," MPRA Paper 52786, University Library of Munich, Germany, revised 09 Mar 2014.
    326. Paula Puskarova & Philipp Piribauer, 2014. "The impact of knowledge spillovers on regional total factor productivity. New empirical evidence from selected European countries," ERSA conference papers ersa14p1813, European Regional Science Association.
    327. Iman Al‐Ayouty & Hoda Hassaballa, 2020. "Regional unemployment in Egypt: Spatial panel data analysis," African Development Review, African Development Bank, vol. 32(4), pages 565-577, December.
    328. Yan Gao & Xin Wang & Liyan Zhang, 2023. "Serial Dynamics, Spatial Spillover and Common Factors of Carbon Emission Intensity in China’s Bohai Economic Rim," Sustainability, MDPI, vol. 15(9), pages 1-17, April.
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    330. Ning, Lutao & Wang, Fan & Li, Jian, 2016. "Urban innovation, regional externalities of foreign direct investment and industrial agglomeration: Evidence from Chinese cities," Research Policy, Elsevier, vol. 45(4), pages 830-843.
    331. Fırat GÜNDEM, 2017. "Türkiye’de İBBS 2 Bölgeleri Arasında Gelir Yakınsaması Var mıdır? Mekânsal Ekonometrik Bir Katkı," Sosyoekonomi Journal, Sosyoekonomi Society, issue 25(34).
    332. Wang, Wei & Lee, Lung-fei, 2013. "Estimation of spatial panel data models with randomly missing data in the dependent variable," Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 521-538.
    333. Chongshi Gu & Xiao Fu & Chenfei Shao & Zhongwen Shi & Huaizhi Su, 2020. "Application of Spatiotemporal Hybrid Model of Deformation in Safety Monitoring of High Arch Dams: A Case Study," IJERPH, MDPI, vol. 17(1), pages 1-25, January.
    334. Shi, Xiangyu & Xi, Tianyang, 2018. "Race to safety: Political competition, neighborhood effects, and coal mine deaths in China," Journal of Development Economics, Elsevier, vol. 131(C), pages 79-95.
    335. Chi-Young Choi & Alexander Chudik, 2017. "Geographic Inequality of Economic Well-being among U.S. Cities: Evidence from Micro Panel Data," Globalization Institute Working Papers 330, Federal Reserve Bank of Dallas.
    336. Ou Bianling & Long Zhihe & Li Wenqian, 2019. "Bootstrap LM Tests for Spatial Dependence in Panel Data Models with Fixed Effects," Journal of Systems Science and Information, De Gruyter, vol. 7(4), pages 330-343, August.
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    338. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2012. "Estimation for spatial dynamic panel data with fixed effects: The case of spatial cointegration," Journal of Econometrics, Elsevier, vol. 167(1), pages 16-37.
    339. Xi, Haoning & Li, Qin & Hensher, David A. & Nelson, John D. & Ho, Chinh, 2023. "Quantifying the impact of COVID-19 on travel behavior in different socio-economic segments," Transport Policy, Elsevier, vol. 136(C), pages 98-112.
    340. Higgins, Ayden & Martellosio, Federico, 2023. "Shrinkage estimation of network spillovers with factor structured errors," Journal of Econometrics, Elsevier, vol. 233(1), pages 66-87.
    341. Steven Yamarik, 2011. "Human capital and state-level economic growth: what is the contribution of schooling?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(1), pages 195-211, August.
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    343. Yaqing Liu & Hongbing Ouyang & Xiaolu Wei, 2021. "A Spatial Panel Structural Vector Autoregressive Model with Interactive Effects and Its Simulation," Mathematics, MDPI, vol. 9(8), pages 1-8, April.
    344. Raja Chakir & Stéphane De Cara & Bruno Vermont, 2017. "Price-Induced Changes in Greenhouse Gas Emissions from Agriculture, Forestry, and Other Land Use: A Spatial Panel Econometric Analysis," Revue économique, Presses de Sciences-Po, vol. 68(3), pages 471-490.
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  30. Lung-Fei Lee & Jihai Yu, 2009. "Spatial Nonstationarity and Spurious Regression: the Case with a Row-normalized Spatial Weights Matrix," Spatial Economic Analysis, Taylor & Francis Journals, vol. 4(3), pages 301-327.

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    1. Insu Hong & Changsok Yoo, 2020. "Analyzing Spatial Variance of Airbnb Pricing Determinants Using Multiscale GWR Approach," Sustainability, MDPI, vol. 12(11), pages 1-18, June.
    2. Zhu, Xuening & Wang, Weining & Wang, Hansheng & Härdle, Wolfgang Karl, 2019. "Network quantile autoregression," Journal of Econometrics, Elsevier, vol. 212(1), pages 345-358.
    3. Baltagi, Badi H. & Liu, Long, 2010. "Spurious spatial regression with equal weights," Statistics & Probability Letters, Elsevier, vol. 80(21-22), pages 1640-1642, November.
    4. B. Fingleton & P. Cheshire & H. Garretsen & D. Igliori & J. Le Gallo & P. McCann & J. McCombie & V. Monastiriotis & B. Moore & M. Roberts, 2009. "Editorial," Spatial Economic Analysis, Taylor & Francis Journals, vol. 4(3), pages 243-248.
    5. Malabika Koley & Anil K. Bera, 2022. "Testing for spatial dependence in a spatial autoregressive (SAR) model in the presence of endogenous regressors," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-46, December.
    6. 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.
    7. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    8. Martellosio, Federico, 2011. "Efficiency of the OLS estimator in the vicinity of a spatial unit root," Statistics & Probability Letters, Elsevier, vol. 81(8), pages 1285-1291, August.
    9. Jean Dubé & Diego Legros, 2013. "Dealing with spatial data pooled over time in statistical models," Post-Print halshs-01227128, HAL.
    10. Anna Gloria Billé & Roberto Benedetti & Paolo Postiglione, 2017. "A two-step approach to account for unobserved spatial heterogeneity," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(4), pages 452-471, October.
    11. Chen, Elynn Y. & Fan, Jianqing & Zhu, Xuening, 2023. "Community network auto-regression for high-dimensional time series," Journal of Econometrics, Elsevier, vol. 235(2), pages 1239-1256.
    12. Zhu, Xuening & Chang, Xiangyu & Li, Runze & Wang, Hansheng, 2019. "Portal nodes screening for large scale social networks," Journal of Econometrics, Elsevier, vol. 209(2), pages 145-157.

  31. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2008. "Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large," Journal of Econometrics, Elsevier, vol. 146(1), pages 118-134, September.

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    1. Junyue Wu & Yasumasa Matsuda, 2021. "A threshold extension of spatial dynamic panel model with fixed effects," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-30, December.
    2. 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.
    3. Corinne Autant-Bernard, 2011. "Spatial econometrics of innovation : Recent contributions and research perspectives," Working Papers 1120, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    4. Cizek, P. & Jacobs, J. & Ligthart, J.E. & Vrijburg, H., 2015. "GMM Estimation of Fixed Effects Dynamic Panel Data Models with Spatial Lag and Spatial Errors (Revised version of CentER DP 2011-134)," Discussion Paper 2015-003, Tilburg University, Center for Economic Research.
    5. Edo, Samson & Osadolor, Nneka Esther & Dading, Isuwa Festus, 2020. "Growing external debt and declining export: The concurrent impediments in economic growth of Sub-Saharan African countries," International Economics, Elsevier, vol. 161(C), pages 173-187.
    6. Salima Bouayad-Agha & Nadine Turpin & Lionel Védrine, 2010. "Fostering the potential endogenous development of European regions: a spatial dynamic panel data analysis of the Cohesion Policy on regional convergence over the period 1980-2005," TEPP Working Paper 2010-17, TEPP.
    7. Liqian Cai & Arnab Bhattacharjee & Roger Calantone & Taps Maiti, 2019. "Variable Selection with Spatially Autoregressive Errors: A Generalized Moments LASSO Estimator," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 81(1), pages 146-200, September.
    8. 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.
    9. Natalia Bailey & Sean Holly & M. Hashem Pesaran, 2016. "A Two‐Stage Approach to Spatio‐Temporal Analysis with Strong and Weak Cross‐Sectional Dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(1), pages 249-280, January.
    10. Christopher L. Foote, 2007. "Space and time in macroeconomic panel data: young workers and state-level unemployment revisited," Working Papers 07-10, Federal Reserve Bank of Boston.
    11. Lee, Lung-fei & Yu, Jihai, 2015. "Estimation of fixed effects panel regression models with separable and nonseparable space–time filters," Journal of Econometrics, Elsevier, vol. 184(1), pages 174-192.
    12. Hidalgo, Javier & Schafgans, Marcia, 2017. "Inference and testing breaks in large dynamic panels with strong cross sectional dependence," Journal of Econometrics, Elsevier, vol. 196(2), pages 259-274.
    13. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2019. "Estimation and inference for spatial models with heterogeneous coefficients: an application to U.S. house prices," CESifo Working Paper Series 7542, CESifo.
    14. Liang, Jinwen & Härdle, Wolfgang Karl & Tian, Maozai, 2023. "Imputed quantile tensor regression for near-sited spatial-temporal data," Computational Statistics & Data Analysis, Elsevier, vol. 182(C).
    15. Jan P.A.M. Jacobs & Jenny E. Ligthart & Hendrik Vrijburg, 2009. "Dynamic Panel Data Models Featuring Endogenous Interaction and Spatially Correlated Errors," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper0915, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    16. Jieun Lee, 2022. "Testing Endogeneity of Spatial Weights Matrices in Spatial Dynamic Panel Data Models," Papers 2209.05563, arXiv.org.
    17. Atems, Bebonchu, 2013. "The spatial dynamics of growth and inequality: Evidence using U.S. county-level data," Economics Letters, Elsevier, vol. 118(1), pages 19-22.
    18. Agrawal, David R., 2014. "LOST in America: Evidence on local sales taxes from national panel data," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 147-163.
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    20. Pesaran, M. Hashem & Tosetti, Elisa, 2007. "Large Panels with Common Factors and Spatial Correlations," IZA Discussion Papers 3032, Institute of Labor Economics (IZA).
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    22. Raffaella Santolini, 2020. "Spatial effects on local government efficiency," Papers in Regional Science, Wiley Blackwell, vol. 99(1), pages 183-200, February.
    23. Yang, Yuan & Zhang, Junjie & Wang, Can, 2014. "Is China on Track to Comply with Its 2020 Copenhagen Carbon Intensity Commitment?," University of California at San Diego, Economics Working Paper Series qt1r5251g8, Department of Economics, UC San Diego.
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    25. Carsten Ochsen, 2021. "Age cohort effects on unemployment in the USA: Evidence from the regional level," Papers in Regional Science, Wiley Blackwell, vol. 100(4), pages 1025-1053, August.
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    27. Diego Firmino Costa da Silva & J. Paul Elhorst & Raul da Mota Silveira Neto, 2017. "Urban and rural population growth in a spatial panel of municipalities," Regional Studies, Taylor & Francis Journals, vol. 51(6), pages 894-908, June.
    28. Franziska Lottmann, 2012. "Explaining regional unemployment differences in Germany: a spatial panel data analysis," SFB 649 Discussion Papers SFB649DP2012-026, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    29. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2015. "Quasi Maximum Likelihood Estimation of Spatial Models with Heterogeneous Coefficients," Working Papers 749, Queen Mary University of London, School of Economics and Finance.
    30. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar, 2022. "Dynamic Spatiotemporal ARCH Models," Papers 2202.13856, arXiv.org.
    31. Javier Hidalgo & Marcia M Schafgans, 2015. "Inference and Testing Breaks in Large Dynamic Panels with Strong Cross Sectional Dependence," STICERD - Econometrics Paper Series /2015/583, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    32. Badi H. Baltagi & Alain Pirotte & Zhenlin Yang, 2021. "Diagnostic tests for homoskedasticity in spatial cross-sectional or panel models," Post-Print hal-04120461, HAL.
    33. Bottasso, Anna & Conti, Maurizio & Ferrari, Claudio & Tei, Alessio, 2014. "Ports and regional development: A spatial analysis on a panel of European regions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 65(C), pages 44-55.
    34. Herrera Gómez, Marcos, 2017. "Fundamentos de Econometría Espacial Aplicada [Fundamentals of Applied Spatial Econometrics]," MPRA Paper 80871, University Library of Munich, Germany.
    35. Júlia Gallego Ziero Uhr & André Luis Squarize Chagas, Daniel de Abreu Pereira Uhr, Renan Porn Peres, 2017. "A study on environmental infractions for Brazilian municipalities: a spatial dynamic panel approach," Working Papers, Department of Economics 2017_13, University of São Paulo (FEA-USP).
    36. Mao, Guangyu & Shen, Yan, 2019. "Bubbles or fundamentals? Modeling provincial house prices in China allowing for cross-sectional dependence," China Economic Review, Elsevier, vol. 53(C), pages 53-64.
    37. Jarko Fidrmuc & Moritz Degler, 2018. "Temporal and Spatial Dependence of Inter-Regional Risk Sharing: Evidence from Russia," Working Papers 373, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    38. Alice Milivinti, 2019. "A spatio-temporal analysis of migration," Empirical Economics, Springer, vol. 57(4), pages 1411-1442, October.
    39. Nicolas Debarsy & Cyrille Dossougoin & Cem Ertur & Jean-Yves Gnabo, 2018. "Measuring sovereign risk spillovers and assessing the role of transmission channels: A spatial econometrics approach," Post-Print hal-01744629, HAL.
    40. 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.
    41. Tsekeris, Theodore, 2017. "Domestic transport effects on regional export trade in Greece," Research in Transportation Economics, Elsevier, vol. 61(C), pages 2-14.
    42. Wang Lu & Hao Yu & Wei Yi-Ming, 2017. "How Do Regional Interactions in Space Affect China’s Mitigation Targets and Economic Development?," MITP: Mitigation, Innovation and Transformation Pathways 257876, Fondazione Eni Enrico Mattei (FEEM).
    43. Anil K. Bera & Osman Doğan & Süleyman Taşpınar & Monalisa Sen, 2020. "Specification tests for spatial panel data models," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-39, December.
    44. Keisuke Kondo, 2015. "Spatial Dependence in Regional Business Cycles: Evidence from Mexican States," Discussion Paper Series DP2015-27, Research Institute for Economics & Business Administration, Kobe University, revised Jun 2021.
    45. José-Antonio Monteiro & Madina Kukenova, 2009. "Spatial Dynamic Panel Model and System GMM: A Monte Carlo Investigation," IRENE Working Papers 09-01, IRENE Institute of Economic Research.
    46. Borck, Rainald & Fossen, Frank M. & Freier, Ronny & Martin, Thorsten, 2015. "Race to the debt trap? — Spatial econometric evidence on debt in German municipalities," Regional Science and Urban Economics, Elsevier, vol. 53(C), pages 20-37.
    47. 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.
    48. Frank M. Fossen & Thorsten Martin, 2016. "Entrepreneurial Spillovers over Space and Time," Discussion Papers of DIW Berlin 1618, DIW Berlin, German Institute for Economic Research.
    49. Gao, Zhaoxing & Ma, Yingying & Wang, Hansheng & Yao, Qiwei, 2019. "Banded spatio-temporal autoregressions," Journal of Econometrics, Elsevier, vol. 208(1), pages 211-230.
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    53. Chang, Hsuan-Yu & Wang, Wei & Yu, Jihai, 2021. "Revisiting the environmental Kuznets curve in China: A spatial dynamic panel data approach," Energy Economics, Elsevier, vol. 104(C).
    54. 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.
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