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Omitted Variables in Multilevel Models

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  • Jee-Seon Kim
  • Edward Frees

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  • Jee-Seon Kim & Edward Frees, 2006. "Omitted Variables in Multilevel Models," Psychometrika, Springer;The Psychometric Society, vol. 71(4), pages 659-690, December.
    • Handle: RePEc:spr:psycho:v:71:y:2006:i:4:p:659-690
    DOI: 10.1007/s11336-005-1283-0
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    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. 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.
    4. Cora J. M. Maas & Joop J. Hox, 2004. "Robustness issues in multilevel regression analysis," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(2), pages 127-137, May.
    5. Richard J. Murnane & Barbara R. Phillips, 1981. "What Do Effective Teachers of Inner-City Children have in Common?," Mathematica Policy Research Reports b0614b2fa4ae4eae82cec19fb, Mathematica Policy Research.
    6. Andrew M. Jones, 2012. "health econometrics," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.
    7. Edward Frees & Jee-Seon Kim, 2006. "Multilevel Model Prediction," Psychometrika, Springer;The Psychometric Society, vol. 71(1), pages 79-104, March.
    8. Judith D. Singer, 1998. "Using SAS PROC MIXED to Fit Multilevel Models, Hierarchical Models, and Individual Growth Models," Journal of Educational and Behavioral Statistics, , vol. 23(4), pages 323-355, December.
    9. Verbeke G. & Spiessens B. & Lesaffre E., 2001. "Conditional Linear Mixed Models," The American Statistician, American Statistical Association, vol. 55, pages 25-34, February.
    10. 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.
    11. Ahn, Seung Chan & Hoon Lee, Young & Schmidt, Peter, 2001. "GMM estimation of linear panel data models with time-varying individual effects," Journal of Econometrics, Elsevier, vol. 101(2), pages 219-255, April.
    12. Kiefer, Nicholas M., 1980. "Estimation of fixed effect models for time series of cross-sections with arbitrary intertemporal covariance," Journal of Econometrics, Elsevier, vol. 14(2), pages 195-202, October.
    13. Marsh, L.C.Lawrence C., 2004. "The econometrics of higher education: editor's view," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 1-18.
    14. Ronald G. Ehrenberg & Daniel D. Goldhaber & Dominic J. Brewer, 1994. "Do Teachers' Race, Gender, and Ethnicity Matter?: Evidence from NELS88," NBER Working Papers 4669, National Bureau of Economic Research, Inc.
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    7. Artur Pokropek, 2015. "Phantom Effects in Multilevel Compositional Analysis," Sociological Methods & Research, , vol. 44(4), pages 677-705, November.
    8. Jorge Manzi & Ernesto San Martín & Sébastien Van Bellegem, 2014. "School System Evaluation by Value Added Analysis Under Endogeneity," Psychometrika, Springer;The Psychometric Society, vol. 79(1), pages 130-153, January.
    9. Pinka Chatterji & Dohyung Kim & Kajal Lahiri, 2014. "Birth Weight And Academic Achievement In Childhood," Health Economics, John Wiley & Sons, Ltd., vol. 23(9), pages 1013-1035, September.
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    11. Ahmed Maged Nofal & Gabriella Cacciotti & Nick Lee, 2020. "Who complies with COVID-19 transmission mitigation behavioral guidelines?," Post-Print hal-02962370, HAL.
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    13. 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.
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