Nutrition and education in childhood: is it possible to show a causal relationship using cross-section data?
- Autores
- Rabassa, Mariano
- Año de publicación
- 2003
- Idioma
- inglés
- Tipo de recurso
- tesis de maestría
- Estado
- versión aceptada
- Colaborador/a o director/a de tesis
- Gasparini, Leonardo
- Descripción
- 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.
Magister en Economía
Universidad Nacional de La Plata
Facultad de Ciencias Económicas - Materia
-
Ciencias Económicas
JEL: I2
Economía
Nutrición
Educación - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by/3.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/3352
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Nutrition 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, MarianoCiencias EconómicasJEL: I2EconomíaNutriciónEducaciónThe 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.Magister en EconomíaUniversidad Nacional de La PlataFacultad de Ciencias EconómicasGasparini, Leonardo2003info:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTesis de maestriahttp://purl.org/coar/resource_type/c_bdccinfo:ar-repo/semantics/tesisDeMaestriaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/3352https://doi.org/10.35537/10915/3352enginfo:eu-repo/semantics/altIdentifier/url/http://www.depeco.econo.unlp.edu.ar/maestria/tesis/025-tesis-rabassa.pdfinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/3.0/Creative Commons Attribution 3.0 Unported (CC BY 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2026-04-15T10:57:49Zoai:sedici.unlp.edu.ar:10915/3352Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292026-04-15 10:57:54.027SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Nutrition 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? |
| title |
Nutrition and education in childhood: is it possible to show a causal relationship using cross-section data? |
| spellingShingle |
Nutrition and education in childhood: is it possible to show a causal relationship using cross-section data? Rabassa, Mariano Ciencias Económicas JEL: I2 Economía Nutrición Educación |
| 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? |
| dc.creator.none.fl_str_mv |
Rabassa, Mariano |
| author |
Rabassa, Mariano |
| author_facet |
Rabassa, Mariano |
| author_role |
author |
| dc.contributor.none.fl_str_mv |
Gasparini, Leonardo |
| dc.subject.none.fl_str_mv |
Ciencias Económicas JEL: I2 Economía Nutrición Educación |
| topic |
Ciencias Económicas JEL: I2 Economía Nutrición Educación |
| dc.description.none.fl_txt_mv |
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. Magister en Economía Universidad Nacional de La Plata Facultad de Ciencias Económicas |
| 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. |
| publishDate |
2003 |
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2003 |
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info:eu-repo/semantics/masterThesis info:eu-repo/semantics/acceptedVersion Tesis de maestria http://purl.org/coar/resource_type/c_bdcc info:ar-repo/semantics/tesisDeMaestria |
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eng |
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