A framework for the analysis of early life interventions

Available from: 
October 2013
Paper author(s): 
Esteban Puentes (Universidad de Chile)
Jere Behrman (University of Pennsylvania)
Flavio Cunha (University of Pennsylvania)
Linda Adair (University of North Carolina)
Judith Borja (University of North Carolina)
Demographic Economics - Migration
Education - Health

In this paper we propose and estimate a framework to estimate height production functions. We study the implications of different assumptions for the production function and their consequences for the estimation procedure. The main challenges for estimating a production function are omitted variables and measurement error. We take advantage of databases for two developing countries, Guatemala and the Philippines, which include detailed anthropometric and diet information for children between 0 to 24 months old, in the case of the Philippines, and from 0 to 84 months old in the case of Guatemala. The main advantage of both databases is that the children are followed for extended periods of time so panel data fixed-effects and instrumental variables are possible solutions to the omitted variables and measurement error problems.  


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Research section: 
Lacea 2013 annual meeting
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