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On instrumental variable estimation of semiparametric dynamic panel data models

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Cited by:

  1. Roberto Martino & Phu Nguyen-Van, 2016. "Environmental Kuznets curve and environmental convergence: A unified empirical framework for CO2 emissions," Working Papers of BETA 2016-18, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
  2. Ricardo Martin & Alex Segura-Ubiergo, 2005. "Fiscal Discipline and Social Spending in IMF-supported Programs," Public Economics 0504012, University Library of Munich, Germany.
  3. Ai, Chunrong & Chen, Xiaohong, 2007. "Estimation of possibly misspecified semiparametric conditional moment restriction models with different conditioning variables," Journal of Econometrics, Elsevier, vol. 141(1), pages 5-43, November.
  4. Cohen, Jeffrey P. & Danko, Joseph J. & Yang, Ke, 2019. "Proximity to a water supply reservoir and dams: Is there spatial heterogeneity in the effects on housing prices?," Journal of Housing Economics, Elsevier, vol. 43(C), pages 14-22.
  5. Kien Tran & Efthymios Tsionas, 2010. "Local GMM Estimation of Semiparametric Panel Data with Smooth Coefficient Models," Econometric Reviews, Taylor & Francis Journals, vol. 29(1), pages 39-61.
  6. LAWSON, Laté A. & MARTINO, Roberto & NGUYEN-VAN, Phu, 2020. "Environmental convergence and environmental Kuznets curve: A unified empirical framework," Ecological Modelling, Elsevier, vol. 437(C).
  7. Konrad Lyncker & Rasmus Thoennessen, 2017. "Regional club convergence in the EU: evidence from a panel data analysis," Empirical Economics, Springer, vol. 52(2), pages 525-553, March.
  8. Zongwu Cai & Ying Fang & Henong Li, 2012. "Weak Instrumental Variables Models for Longitudinal Data," Econometric Reviews, Taylor & Francis Journals, vol. 31(4), pages 361-389.
  9. Feng Yao & Junsen Zhang, 2015. "Efficient kernel-based semiparametric IV estimation with an application to resolving a puzzle on the estimates of the return to schooling," Empirical Economics, Springer, vol. 48(1), pages 253-281, February.
  10. Ricardo Martin & Alex Segura-Ubiergo, 2005. "Social Spending in IMF-supported Programs," Public Economics 0504011, University Library of Munich, Germany.
  11. Cavallaro, Eleonora & Villani, Ilaria, 2021. "Real income convergence and the patterns of financial integration in the EU," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
  12. Angelo Castaldo & Anna Rita Germani & Alessia Marrocco & Marco Forti & Andrea Salustri, 2024. "Drivers and frictions of workplace accidents: an empirical investigation of cross-country European heterogeneity," Applied Economics, Taylor & Francis Journals, vol. 56(24), pages 2931-2946, May.
  13. 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.
  14. Cavallaro, Eleonora & Villani, Ilaria, 2022. "Beyond financial deepening: Rethinking the finance-growth relationship in an uneven world," Economic Modelling, Elsevier, vol. 116(C).
  15. Su, Liangjun & Lu, Xun, 2013. "Nonparametric dynamic panel data models: Kernel estimation and specification testing," Journal of Econometrics, Elsevier, vol. 176(2), pages 112-133.
  16. Badi H. Baltagi & Georges Bresson & Jean-Michel Etienne, 2020. "Growth Empirics: a Bayesian Semiparametric Model With Random Coefficients for a Panel of OECD Countries," Advances in Econometrics, in: Essays in Honor of Cheng Hsiao, volume 41, pages 217-253, Emerald Group Publishing Limited.
  17. Man Jin & Shunan Zhao & Subal C. Kumbhakar, 2020. "Information asymmetry and leverage adjustments: a semiparametric varying‐coefficient approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(2), pages 581-605, February.
  18. Sasaki, Yuya & Xin, Yi, 2017. "Unequal spacing in dynamic panel data: Identification and estimation," Journal of Econometrics, Elsevier, vol. 196(2), pages 320-330.
  19. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
  20. repec:wvu:wpaper:10-11 is not listed on IDEAS
  21. Cai, Zongwu & Li, Qi, 2008. "Nonparametric Estimation Of Varying Coefficient Dynamic Panel Data Models," Econometric Theory, Cambridge University Press, vol. 24(5), pages 1321-1342, October.
  22. Polemis, Michael L. & Tsionas, Mike G., 2016. "An alternative semiparametric approach to the modelling of asymmetric gasoline price adjustment," Energy Economics, Elsevier, vol. 56(C), pages 384-388.
  23. Francesco Bravo, 2016. "Local Information Theoretic Methods for smooth Coefficients Dynamic Panel Data Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(5), pages 690-708, September.
  24. Tarverdi, Yashar & Saha, Shrabani & Campbell, Neil, 2019. "Governance, democracy and development," Economic Analysis and Policy, Elsevier, vol. 63(C), pages 220-233.
  25. Zongwu Cai & Linna Chen & Ying Fang, 2015. "Semiparametric Estimation of Partially Varying-Coefficient Dynamic Panel Data Models," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 695-719, December.
  26. Cohen, Jeffrey P. & Osleeb, Jeffrey P. & Yang, Ke, 2014. "Semi-parametric regression models and economies of scale in the presence of an endogenous variable," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 252-261.
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