<mark>Chetty, R., Friedman, J. N., & Rockoff, J. E. (2014). Measuring the impacts of teachers I: Evaluating bias in teacher value-added estimates.</mark> _<mark>American Economic Review</mark>_ <mark>,</mark> _<mark>104</mark>_ <mark>(9), 2593-2632.</mark> <mark>Chetty, R., Friedman, J. N., & Rockoff, J. E. (2014). Measuring the impacts of teachers II: Teacher valueadded and student outcomes in adulthood.</mark> _<mark>American economic review</mark>_ <mark>,</mark> _<mark>104</mark>_ <mark>(9), 2633-79.</mark> <mark>Cruz-Aguayo, Y., Ibarrarán, P., & Schady, N. (2017). Do tests applied to teachers predict their effectiveness?.</mark> _<mark>Economics Letters</mark>_ <mark>,</mark> _<mark>159</mark>_ <mark>, 108-111.</mark> <mark>Dormann, C. F., Elith, J., Bacher, S., Buchmann, C., Carl, G., Carré, G., ... & Lautenbach, S. (2013). Collinearity: a review of methods to deal with it and a simulation study evaluating their performance.</mark> _<mark>Ecography</mark>_ <mark>,</mark> _<mark>36</mark>_ <mark>(1), 27-46.</mark> Dweck, C. S. (2006). _Mindset_ . New York: Random House.

<mark>Filmer, D., Molina, E., & Wane, W. (2020).</mark> _<mark>Identifying Effective Teachers: Lessons from Four Classroom Observation Tools</mark>_ <mark>. The World Bank.</mark> <mark>Friedman, J., Hastie, T., & Tibshirani, R. (2001).</mark> _<mark>The Elements of Statistical Learning</mark>_ <mark>(Vol. 1, No. 10). New York: Springer series in statistics.</mark> <mark>Glazerman, S., & Protik, A. (2015). Validating value-added measures of teacher performance.</mark> _<mark>A</mark> ssociation for Public Policy Analysis & Management, November, Miami_ .

Gordon, R. J., Kane, T. J., & Staiger, D. (2006). _Identifying effective teachers using performance on the job_ (pp. 2006-01). Washington, DC: Brookings Institution.

<mark>Hanushek, E. A., & Rivkin, S. G. (2010). Generalizations about using value-added measures of teacher quality.</mark> _<mark>American Economic Review</mark>_ <mark>,</mark> _<mark>100</mark>_ <mark>(2), 267-71.</mark> <mark>Heslin, P. A., Latham, G. P., & VandeWalle, D. (2005). The effect of implicit person theory on performance appraisals.</mark> _<mark>Journal of Applied Psychology</mark>_ <mark>,</mark> _<mark>90</mark>_ <mark>(5), 842.</mark> <mark>Hothorn, T., Hornik, K., & Zeileis, A. (2006). Unbiased recursive partitioning: A conditional inference framework.</mark> _<mark>Journal of Computational and Graphical statistics</mark>_ <mark>,</mark> _<mark>15</mark>_ <mark>(3), 651-674.</mark> <mark>Hothorn, T., & Zeileis, A. (2015). partykit: A modular toolkit for recursive partytioning in R.</mark> _<mark>The Journal of Machine Learning Research</mark>_ <mark>,</mark> _<mark>16</mark>_ <mark>(1), 3905-3909.</mark> Jacob, B. A., & Lefgren, L. (2005). _Principals as agents: Subjective performance measurement in education_ (No. w11463). National Bureau of Economic Research.

<mark>James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013).</mark> _<mark>A</mark> n Introduction to Statistical learning_ <mark>(Vol. 112, p. 18). New York: springer.</mark> Jussim, L., & K. D. Harber. (2005). Teacher Expectations and Self-Fulfilling Prophecies: Knowns and Unknowns, Resolved and Unresolved Controversies. _Personality and Social Psychology Review, 9_ (2): 131–55.

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