Multiple Imputation of Missing Data in Educational Production Functions

Multiple Imputation of Missing Data in Educational Production Functions

Educational production functions rely mostly on longitudinal data that almost always exhibit missing data. This paper contributes to a number of avenues in the literature on the economics of education and applied statistics by reviewing the theoretical foundation of missing data analysis with a spec...

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Bibliographic Details
Main Author: Amira Elasra
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Computation
Subjects:
missing data analysis
multiple imputation
Markov chain Monte Carlo (MCMC) simulation
fully conditional specification
Gibbs sampler algorithm
educational production functions
Online Access:https://www.mdpi.com/2079-3197/10/4/49

Internet

https://www.mdpi.com/2079-3197/10/4/49

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