Linganisha mbinu

	Educational Production Function	Uundaji wa Thamani Iliyoongezwa
Nyanja	Education	Saikometriki
Familia	Regression model	Latent structure
Mwaka wa asili	1979	1998
Mwanzilishi	Economics of education (Coleman; Hanushek; Todd & Wolpin)	William Sanders, Sandra Horn
Aina	Regression relating educational inputs to achievement outputs	Longitudinal student achievement modeling
Chanzo asilia	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.
Majina mbadala	Education Production Function, Schooling Production Function, Input-Output Model of Education, Achievement Production Function	VAM
Zinazohusiana	3	4
Muhtasari	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.