IDEAS home Printed from https://ideas.repec.org/r/eee/econom/v190y2016i1p197-208.html

Grouped effects estimators in fixed effects models

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Nibbering, D. & Paap, R., 2019. "Panel Forecasting with Asymmetric Grouping," Econometric Institute Research Papers EI-2019-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  2. Su, Liangjun & Ju, Gaosheng, 2018. "Identifying latent grouped patterns in panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 554-573.
  3. Arsham Reisinezhad, 2018. "Economic Growth and Income Inequality in Resource Countries: Theory and Evidence," Working Papers halshs-01707976, HAL.
  4. Ulrike Malmendier & Vincenzo Pezone & Hui Zheng, 2023. "Managerial Duties and Managerial Biases," Management Science, INFORMS, vol. 69(6), pages 3174-3201, June.
  5. Claudia Pigini & Alessandro Pionati & Francesco Valentini, 2025. "Grouped fixed effects regularization for binary choice models," Papers 2502.06446, arXiv.org, revised Nov 2025.
  6. repec:ags:aaea22:335467 is not listed on IDEAS
  7. Levent Kutlu & Robin C. Sickles & Mike G. Tsionas & Emmanuel Mamatzakis, 2022. "Correction to: Heterogeneous decision-making and market power: an application to Eurozone banks," Empirical Economics, Springer, vol. 63(6), pages 3093-3093, December.
  8. Jorge A. Rivero, 2023. "Unobserved Grouped Heteroskedasticity and Fixed Effects," Papers 2310.14068, arXiv.org, revised Oct 2023.
  9. Claudia Pigini & Alessandro Pionati & Francesco Valentini, 2023. "Specification testing with grouped fixed effects," Papers 2310.01950, arXiv.org, revised Sep 2025.
  10. Zhangqi Zhong & Yiqin Hu & Lei Jiang, 2019. "Impact of Climate Change on Agricultural Total Factor Productivity Based on Spatial Panel Data Model: Evidence from China," Sustainability, MDPI, vol. 11(6), pages 1-17, March.
  11. Kopp, Thomas & Nabernegg, Markus K., 2023. "The Effects of Inequality on the Triple Burden of Malnutrition – Are there Synergies or Trade-offs?," 2023 Annual Meeting, July 23-25, Washington D.C. 335467, Agricultural and Applied Economics Association.
  12. Mehrabani, Ali, 2023. "Estimation and identification of latent group structures in panel data," Journal of Econometrics, Elsevier, vol. 235(2), pages 1464-1482.
  13. Yann Bramoullé & Kenan Huremovic, 2017. "Promotion through Connections: Favors or Information?," AMSE Working Papers 1728, Aix-Marseille School of Economics, France.
  14. Okui, Ryo & Wang, Wendun, 2021. "Heterogeneous structural breaks in panel data models," Journal of Econometrics, Elsevier, vol. 220(2), pages 447-473.
  15. Parlasca, Martin C. & Mußhoff, Oliver & Qaim, Matin, "undated". "How mobile phones can improve nutrition among pastoral communities: Panel data evidence from Northern Kenya," GlobalFood Discussion Papers 274651, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
  16. Sophie Therese Schneider & Konstantin M. Wacker, 2022. "Explaining the global landscape of foreign direct investment: Knowledge capital, gravity, and the role of culture and institutions," The World Economy, Wiley Blackwell, vol. 45(10), pages 3080-3108, October.
  17. Ali Mehrabani & Shahnaz Parsaeian, 2025. "Shrinkage Estimation and Identification of Latent Group Structures in Panel Data with Interactive Fixed Effects," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202516, University of Kansas, Department of Economics.
  18. Chu, Ba, 2017. "Composite Quasi-Maximum Likelihood Estimation of Dynamic Panels with Group-Specific Heterogeneity and Spatially Dependent Errors," MPRA Paper 79709, University Library of Munich, Germany.
  19. Santiago Pereda-Fernández, 2021. "Copula-Based Random Effects Models for Clustered Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 575-588, March.
  20. Thomas Wiemann, 2023. "Optimal Categorical Instrumental Variables," Papers 2311.17021, arXiv.org, revised May 2024.
  21. Zhu, Xuening & Xu, Ganggang & Fan, Jianqing, 2025. "Simultaneous estimation and group identification for network vector autoregressive model with heterogeneous nodes," Journal of Econometrics, Elsevier, vol. 249(PA).
  22. Liu, Ruiqi & Shang, Zuofeng & Zhang, Yonghui & Zhou, Qiankun, 2020. "Identification and estimation in panel models with overspecified number of groups," Journal of Econometrics, Elsevier, vol. 215(2), pages 574-590.
  23. Jiaying Gu & Stanislav Volgushev, 2018. "Panel Data Quantile Regression with Grouped Fixed Effects," Papers 1801.05041, arXiv.org, revised Aug 2018.
  24. Didier Nibbering & Richard Paap, 2024. "Forecasting carbon emissions using asymmetric grouping," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 2228-2256, September.
  25. Platoni, Silvia & Barbieri, Laura & Moro, Daniele & Sckokai, Paolo, 2020. "Heteroscedastic stratified two-way EC models of single equations and SUR systems," Econometrics and Statistics, Elsevier, vol. 15(C), pages 46-66.
  26. Chihwa Kao & Min Seong Kim & Zhonghui Zhang, 2021. "Mahalanobis Metric Based Clustering for Fixed Effects Model," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(2), pages 493-506, November.
  27. Katerina Chrysikou & George Kapetanios, 2024. "Heterogeneous Grouping Structures in Panel Data," Papers 2407.19509, arXiv.org.
  28. Boyuan Zhang, 2020. "Forecasting with Bayesian Grouped Random Effects in Panel Data," Papers 2007.02435, arXiv.org, revised Oct 2020.
  29. Ogasawara, Kota, 2018. "Health and education during industrialization: Evidence from early twentieth century Japan," International Journal of Educational Development, Elsevier, vol. 61(C), pages 40-54.
  30. Oh, Dong Hwan & Patton, Andrew J., 2023. "Dynamic factor copula models with estimated cluster assignments," Journal of Econometrics, Elsevier, vol. 237(2).
  31. Roy Cerqueti & Pierpaolo D’Urso & Raffaele Mattera, 2025. "Fuzzy group fixed-effects estimation with spatial clustering," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 109(4), pages 721-752, December.
  32. Martin C. Parlasca & Oliver Mußhoff & Matin Qaim, 2020. "Can mobile phones improve nutrition among pastoral communities? Panel data evidence from Northern Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 51(3), pages 475-488, May.
  33. Alejandro Sanchez-Becerra, 2022. "The Network Propensity Score: Spillovers, Homophily, and Selection into Treatment," Papers 2209.14391, arXiv.org.
  34. Wang, Wuyi & Su, Liangjun, 2021. "Identifying latent group structures in nonlinear panels," Journal of Econometrics, Elsevier, vol. 220(2), pages 272-295.
  35. Antonio Raiola & Nazarii Salish, 2025. "Detection Boundaries for Panel Slope Homogeneity Tests Under Small-Group Heterogeneity," Papers 2510.22841, arXiv.org, revised Apr 2026.
  36. Chenggang Wang & Danli Du & Tiansen Liu & Yue Zhu & Dongxue Yang & Yuan Huang & Fan Meng, 2024. "Impact of Green Technology Innovation on Green Economy: Evidence from China," Sustainability, MDPI, vol. 16(19), pages 1-23, October.
  37. Xu Cheng & Frank Schorfheide & Peng Shao, 2023. "Clustering for Multi-Dimensional Heterogeneity with an Application to Production Function Estimation," PIER Working Paper Archive 23-016, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
  38. Bennedsen, Mikkel & Hillebrand, Eric & Jensen, Sebastian, 2023. "A neural network approach to the environmental Kuznets curve," Energy Economics, Elsevier, vol. 126(C).
  39. Gu, Jiaying & Volgushev, Stanislav, 2019. "Panel data quantile regression with grouped fixed effects," Journal of Econometrics, Elsevier, vol. 213(1), pages 68-91.
  40. Pionati, Alessandro, 2025. "Latent grouped structures in panel data: a review," MPRA Paper 123954, University Library of Munich, Germany.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.