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Are Better Teachers More Likely To Move? Examining Teacher Mobility In Rural China

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Abstract

This study investigates an understudied but crucial issue in education in rural China: teacher mobility. Using school- and teacher-level data from primary and middle schools in Gansu province in western China, this study examines how school and teacher characteristics relate to teacher mobility. The school-level analysis shows that school location was the most consistent factor associated with teacher turnover. The association between higher wages and lower teacher turnover diminished as district and wave fixed effects were included. The probability of teacher turnover was higher for teachers with higher professional ranks and teachers who were initially assigned to schools away from home. We also found that failing the annual teacher evaluation increased the probability of leaving the school the following year, suggesting that teacher transfer might also be used to punish lower-performing teachers.

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Notes

  1. Ordinary least squares (OLS) is the most commonly used method for estimating the unknown parameters in a linear regression model. We also conducted Tobit regression, because the dependent variables are nonnegative and stack at 0. There are no large differences in the coefficients of variables of main interest.

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Acknowledgements

This research did not receive any specific grants from funding agencies in the public, commercial, or not-for-profit sectors. The authors would like to thank Emily Hannum from the University of Pennsylvania for granting the access to GSCF data sets. The authors would also like to thank Amita Chudgar, Lynn Paine, Peter Youngs, and David Arsen from the Michigan State University for their critical feedback and informative participation.

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Correspondence to Sen Zhou.

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Wei, Y., Zhou, S. Are Better Teachers More Likely To Move? Examining Teacher Mobility In Rural China. Asia-Pacific Edu Res 28, 171–179 (2019). https://doi.org/10.1007/s40299-018-0423-0

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