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Multilevel Modeling with Correlated Effects

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  • Jee-Seon Kim
  • Edward Frees

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  • Jee-Seon Kim & Edward Frees, 2007. "Multilevel Modeling with Correlated Effects," Psychometrika, Springer;The Psychometric Society, vol. 72(4), pages 505-533, December.
    • Handle: RePEc:spr:psycho:v:72:y:2007:i:4:p:505-533
    DOI: 10.1007/s11336-007-9008-1
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    1. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    2. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    3. Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1997. "Bayesian efficiency analysis through individual effects: Hospital cost frontiers," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 77-105.
    4. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521828284.
    5. Ehrenberg, Ronald G. & Brewer, Dominic J., 1994. "Do school and teacher characteristics matter? Evidence from High School and Beyond," Economics of Education Review, Elsevier, vol. 13(1), pages 1-17, March.
    6. Fiona Steele, 2003. "Selection effects of source of contraceptive supply in an analysis of discontinuation of contraception: multilevel modelling when random effects are correlated with an explanatory variable," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 166(3), pages 407-423, October.
    7. Peter Ebbes & Ulf Böckenholt & Michel Wedel, 2004. "Regressor and random‐effects dependencies in multilevel models," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(2), pages 161-178, May.
    8. Andrew M. Jones, 2012. "health econometrics," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.
    9. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291, Decembrie.
    10. Nigel Rice & Andrew Jones, 1997. "Multilevel models and health economics," Health Economics, John Wiley & Sons, Ltd., vol. 6(6), pages 561-575, November.
    11. So Im, Kyung & Ahn, Seung C. & Schmidt, Peter & Wooldridge, Jeffrey M., 1999. "Efficient estimation of panel data models with strictly exogenous explanatory variables," Journal of Econometrics, Elsevier, vol. 93(1), pages 177-201, November.
    12. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521535380.
    13. Hanushek, Eric A. & Kain, John F. & Rivkin, Steven G., 2004. "Disruption versus Tiebout improvement: the costs and benefits of switching schools," Journal of Public Economics, Elsevier, vol. 88(9-10), pages 1721-1746, August.
    14. Anders Skrondal & Sophia Rabe‐Hesketh, 2007. "Latent Variable Modelling: A Survey," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 34(4), pages 712-745, December.
    15. Breusch, Trevor S & Mizon, Grayham E & Schmidt, Peter, 1989. "Efficient Estimation Using Panel Data," Econometrica, Econometric Society, vol. 57(3), pages 695-700, May.
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    2. Manzi, Jorge & San Martin, Ernesto & Van Bellegem, Sébastien, 2010. "School System Evaluation By Value-Added Analysis under Endogeneity," IDEI Working Papers 631, Institut d'Économie Industrielle (IDEI), Toulouse.
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    14. Jan-Michael Becker & Dorian Proksch & Christian M. Ringle, 2022. "Revisiting Gaussian copulas to handle endogenous regressors," Journal of the Academy of Marketing Science, Springer, vol. 50(1), pages 46-66, January.
    15. Yang Jiang & Yi-Chun (Chad) Ho & Xiangbin Yan & Yong Tan, 2022. "What’s in a “Username”? The Effect of Perceived Anonymity on Herding in Crowdfunding," Information Systems Research, INFORMS, vol. 33(1), pages 1-17, March.
    16. Chen, Chien-Ming & Chuang, Howard Hao-Chun, 2023. "Time to shift the shift: Performance effects of within-day cumulative service encounters in retail stores," Omega, Elsevier, vol. 119(C).
    17. Yang, Juan & SICULAR, Terry & LAI, Desheng, 2014. "The changing determinants of high school attainment in rural China," China Economic Review, Elsevier, vol. 30(C), pages 551-566.
    18. Youmi Suk & Hyunseung Kang, 2022. "Robust Machine Learning for Treatment Effects in Multilevel Observational Studies Under Cluster-level Unmeasured Confounding," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 310-343, March.
    19. Krzysztof Zagorski & Mariah Evans & Jonathan Kelley & Katarzyna Piotrowska, 2014. "Does National Income Inequality Affect Individuals’ Quality of Life in Europe? Inequality, Happiness, Finances, and Health," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 117(3), pages 1089-1110, July.
    20. Yang, Yimin & Schmidt, Peter, 2021. "An econometric approach to the estimation of multi-level models," Journal of Econometrics, Elsevier, vol. 220(2), pages 532-543.
    21. Aleksey Oshchepkov & Anna Shirokanova, 2020. "Multilevel Modeling For Economists: Why, When And How," HSE Working papers WP BRP 233/EC/2020, National Research University Higher School of Economics.
    22. Katherine E. Castellano & Sophia Rabe-Hesketh & Anders Skrondal, 2014. "Composition, Context, and Endogeneity in School and Teacher Comparisons," Journal of Educational and Behavioral Statistics, , vol. 39(5), pages 333-367, October.

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