Latent Variable Model with Multiple Indicators (MIMIC Model)

Instructor: Gaston Yalonetzky, OPHI Research Officer, and María Emma Santos, OPHI Research Officer

Class Objectives:

  • An introduction to the MIMIC Model

Introduction to MIMIC Presentation

Video

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Introduction to Latent Variable Model with Multiple Indicators
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Reading List
Suggested basic reading on this topic:
KRISHNAKUMAR, J. and A.L. NAGAR. (2008): “On Exact Statistical Properties of Multidimensional Indices Based on Principal Components, Factor Analysis, MIMIC and Structural Equation Models”, Social Indicators Research. 86: 481-496.
JÖRESKOG, K. and GOLDBERFER, A. (1975), “Estimationof a model with multiple indicators and multiple causes of a single latent variable”, Journal of the American Statistical Association, 70, pp. 631-639.

Suggested textbooks:
BARTHOLOMEW, D.J. and M.KNOTT. (1999): Latent Variable Models and Factor Analysis. U.K.: Edward Arnold.
BOLLEN, K.A. (1989): Structural Equations with Latent Variables. New York: John Wiley and Sons.
SKRONDAL, A. and S. RABE-HESKETH. (2004): Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models. Boca Raton: Chapman & Hall.

Suggestions on publications that relate or apply this topic to the capability approach:

KRISHNAKUMAR, J. (2007): “Going Beyond Functionings to Capabilities: An Econometric Model to Explain and Estimate Capabilities”, Journal of Human Development. Vol. 8, No.1,: 39-63.
KRISHNAKUMAR, J. (2008): “Multidimensional Measures of Poverty and Wellbeing Based on Latent Variable Models”, in N. Kakwani and J. Silber (eds.), Quantitative Approaches to Multidimensional Poverty Measurement. New York : Palgrave Macmillan.
KRISHNAKUMAR, J. and P. BALLON. (2008): “Estimating Basic Capabilities: A Structural Equation Model Applied to Bolivia”, World Developmen. 36 (6): 992-1010.