Salīdzināt metodes

	Educational Production Function	Modelēšana, balstoties uz pievienoto vērtību
Nozare	Education	Psihometrija
Saime	Regression model	Latent structure
Izcelsmes gads	1979	1998
Autors	Economics of education (Coleman; Hanushek; Todd & Wolpin)	William Sanders, Sandra Horn
Tips	Regression relating educational inputs to achievement outputs	Longitudinal student achievement modeling
Pirmavots	Hanushek, E. A. (1979). Conceptual and empirical issues in the estimation of educational production functions. Journal of Human Resources, 14(3), 351–388.	Kane, T. J., Rockoff, J. E., & Staiger, D. O. (2008). What does certification tell us about teacher effectiveness? Evidence from New York City. Economics of Education Review, 27(6), 615-631.
Citi nosaukumi	Education Production Function, Schooling Production Function, Input-Output Model of Education, Achievement Production Function	VAM
Saistītās	3	4
Kopsavilkums	The educational production function is the economist's framework for relating the inputs of schooling — class size, teacher quality, expenditure, family background — to an output, usually measured achievement. Borrowing the production-function metaphor from the economics of the firm, it estimates by how much achievement changes when an input changes. It is the analytic backbone of decades of debate over what resources matter for learning, and the methodological challenges of estimating it honestly — endogeneity, omitted variables, and the cumulative history of inputs — define much of the field.	Value-Added Modeling (VAM) is a method for assessing the contribution of schools or teachers to student achievement growth, developed by Sanders and Horn (1998). VAM isolates the effect of a teacher or school by comparing student gains (value added) while controlling for prior achievement and student characteristics.