title: [Child malnutrition, infrastructure and income in Mexico].
abstract: OBJECTIVE
  Explain the variation in child malnutrition (CM), understood as low height for age (0 to 5 years old) for the period 1999-2006.
  
  
  METHODS
  State estimations of child malnutrition and several indicators of subjacent probable causes of CM were employed, such as poverty indices, state product per capita, women scholar attainment and access to health and the sewage system. Panel data regression analysis with fixed and random effects were used to analyze the data.
  
  
  RESULTS
  The results indicate that the lack to access to health and sewage systems and poverty worsen CM, whereas women education helps to diminish CM.
  
  
  CONCLUSIONS
  The study shows that infrastructure variables explain a significant part of the recent variation in DI across Mexican states, and that economic growth is not a sufficient condition to diminish DI.
authors: Departamento de Economía, Instituto Tecnológico y de Estudios Superiores de Monterrey, Monterrey, Nuevo León, México.
authors: Edgardo A
authors: EA
authors: Ayala-Gaytán
authors: Departamento de Economía, Instituto Tecnológico y de Estudios Superiores de Monterrey, Monterrey, Nuevo León, México.
authors: Andrea
authors: A
authors: Díaz Durán-Hernández
mesh_terms: D000293:Adolescent; D000328:Adult; D001827:Body Height; D002648:Child; D015362:Child Nutrition Disorders / Q000191:economics / Q000453:epidemiology* / Q000517:prevention & control; D002675:Child, Preschool; D004323:Drainage, Sanitary / Q000706:statistics & numerical data*; D057217:Economic Development; D004522:Educational Status; D005260:Female; D006297:Health Services Accessibility / Q000706:statistics & numerical data*; D006801:Humans; D007182:Income / Q000706:statistics & numerical data*; D007223:Infant; D008297:Male; D008800:Mexico / Q000453:epidemiology; D008962:Models, Theoretical; D009749:Nutrition Surveys; D011203:Poverty; D012959:Socioeconomic Factors