Using Lagged Outcomes to Evaluate Bias in Value-Added Models

Using Value Added Models to Evaluate Teacher Preparation Programs

Student sorting and bias in value added estimation:

Non-random assignment of students to teachers can bias value added estimates of teachers’ causal effects. Rothstein (2008a, b) shows that typical value added models indicate large counter-factual effects of 5th grade teachers on students’ 4th grade learning, indicating that classroom assignments are far from random. This paper quantifies the resulting biases in estimates of 5th grade teachers’ ...

The Added Value of Multidimensional IRT Models

Evaluating Value-Added Models for Teacher Accountability

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Policy options for value added to different levels of production

This paper presents an analytic procedure for the value added to different production levels with different policy options. The approach is stochastic and thus provides a framework for informed decision-making on productivity growth under uncertainty conditions. The model was applied to data collected from a firm and re-sults recommend that the firm should redevelop if in diversification and sy...