Nutrition and education in childhood: is it possible to show a causal relationship using cross-section data?

The fact that nutrition affects education outcomes is accepted by researchers and by policy makers. It is simple. Children cannot learn if they are hungry. The validity of the empirical approaches used to show a causal relationship from nutrition to education is an issue of debate. The presence of u...

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Bibliographic Details
Main Author: Rabassa, Mariano
Other Authors: Gasparini, Leonardo
Language:en
Published: 2010
Subjects:
Online Access:http://hdl.handle.net/10915/3352
http://www.depeco.econo.unlp.edu.ar/maestria/tesis/025-tesis-rabassa.pdf
http://sedici.unlp.edu.ar/handle/10915/3352
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spelling ndltd-SEDICI-oai-sedici.unlp.edu.ar-10915-33522014-06-28T04:06:20ZNutrition and education in childhood: is it possible to show a causal relationship using cross-section data?Nutrición y rendimiento escolar: ¿es posible mostrar una relación causal usando datos de corte transversal?Rabassa, MarianoJEL: I2Ciencias EconómicasEconomíaNutriciónEducaciónThe fact that nutrition affects education outcomes is accepted by researchers and by policy makers. It is simple. Children cannot learn if they are hungry. The validity of the empirical approaches used to show a causal relationship from nutrition to education is an issue of debate. The presence of unobserved characteristics that influence both variables is the main concern of researchers. The goal of this paper is to study the possibility of overcoming these difficulties using the NHANES III (1988-1994), a cross-section data set with national representation in the US. A set of school outcomes and a dummy that accounts for the "food-insecurity" condition of each child's family are the central variables here. Based on a IVs procedure, it looks for variables that can be used as instruments for the "food-insecurity" condition. The preliminary results indicate that child's height and mother's body mass index are no good instruments to do so. Further research in needed to construct other variables that might turn to be good instruments for food-insecurity.Gasparini, Leonardo2010-07-02T03:00:00Z20032003TesisTesis de maestriahttp://hdl.handle.net/10915/3352http://www.depeco.econo.unlp.edu.ar/maestria/tesis/025-tesis-rabassa.pdfenhttp://creativecommons.org/licenses/by/3.0/Creative Commons Attribution 3.0 Unported (CC BY 3.0)http://sedici.unlp.edu.ar/handle/10915/3352
collection NDLTD
language en
sources NDLTD
topic JEL: I2
Ciencias Económicas
Economía
Nutrición
Educación
spellingShingle JEL: I2
Ciencias Económicas
Economía
Nutrición
Educación
Rabassa, Mariano
Nutrition and education in childhood: is it possible to show a causal relationship using cross-section data?
description The fact that nutrition affects education outcomes is accepted by researchers and by policy makers. It is simple. Children cannot learn if they are hungry. The validity of the empirical approaches used to show a causal relationship from nutrition to education is an issue of debate. The presence of unobserved characteristics that influence both variables is the main concern of researchers. The goal of this paper is to study the possibility of overcoming these difficulties using the NHANES III (1988-1994), a cross-section data set with national representation in the US. A set of school outcomes and a dummy that accounts for the "food-insecurity" condition of each child's family are the central variables here. Based on a IVs procedure, it looks for variables that can be used as instruments for the "food-insecurity" condition. The preliminary results indicate that child's height and mother's body mass index are no good instruments to do so. Further research in needed to construct other variables that might turn to be good instruments for food-insecurity.
author2 Gasparini, Leonardo
author_facet Gasparini, Leonardo
Rabassa, Mariano
author Rabassa, Mariano
author_sort Rabassa, Mariano
title Nutrition and education in childhood: is it possible to show a causal relationship using cross-section data?
title_short Nutrition and education in childhood: is it possible to show a causal relationship using cross-section data?
title_full Nutrition and education in childhood: is it possible to show a causal relationship using cross-section data?
title_fullStr Nutrition and education in childhood: is it possible to show a causal relationship using cross-section data?
title_full_unstemmed Nutrition and education in childhood: is it possible to show a causal relationship using cross-section data?
title_sort nutrition and education in childhood: is it possible to show a causal relationship using cross-section data?
publishDate 2010
url http://hdl.handle.net/10915/3352
http://www.depeco.econo.unlp.edu.ar/maestria/tesis/025-tesis-rabassa.pdf
http://sedici.unlp.edu.ar/handle/10915/3352
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