Do Value-Added Estimates Add Value? Accounting for Learning Dynamics

This paper illustrates the central role of persistence in estimating and interpreting value-added models of learning. Using data from Pakistani public and private schools, we apply dynamic panel methods that address three key empirical challenges: imperfect persistence, unobserved heterogeneity, and...

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Bibliographic Details
Main Authors: Andrabi, Tahir, Das, Jishnu, Khwaja, Asim Ijaz, Zajonc, Tristan
Format: Journal Article
Language:EN
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10986/5803
Description
Summary:This paper illustrates the central role of persistence in estimating and interpreting value-added models of learning. Using data from Pakistani public and private schools, we apply dynamic panel methods that address three key empirical challenges: imperfect persistence, unobserved heterogeneity, and measurement error. Our estimates suggest that only one-fifth to one-half of learning persists between grades and that private schools increase average achievement by 0.25 standard deviations each year. In contrast, value-added models that assume perfect persistence yield severely downward estimates of the private school effect. Models that ignore unobserved heterogeneity or measurement error produce biased estimates of persistence.