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VAM: Stata module to compute teacher value-added measures


  • Michael Stepner

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vam uses student-level outcomes (typically test scores) to compute teacher value-added (VA) measures. For each teacher, vam estimates the best linear prediction of value-added in each observed year, based on the scores of students taught by that teacher in other years (prior and future). Each teacher's VA is not assumed to be fixed over time; drift is accounted for by permitting the coefficients on score data to vary non-parametrically according to the distance between each observed score and the forecast year. This program implements the estimation procedure described in Appendix A of: Chetty, Raj, John N. Friedman, and Jonah E. Rockoff. 2013. Measuring the Impacts of Teacher I: Evaluating Bias in Teacher Value-Added Estimates. Harvard University Working Paper.

Suggested Citation

  • Michael Stepner, 2013. "VAM: Stata module to compute teacher value-added measures," Statistical Software Components S457711, Boston College Department of Economics.
  • Handle: RePEc:boc:bocode:s457711
    Note: This module should be installed from within Stata by typing "ssc install vam". The module is made available under terms of the GPL v3 ( Windows users should not attempt to download these files with a web browser.

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