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The Effectiveness of Prenatal Care in a Low Income Population: A Panel Data Approach

  • Ana I. Balsa


  • Patricia Triunfo

This paper analyzes the impact of prenatal care on the likelihood of low birth weight and prematurity using panel data on births taking place between 1995 and 2008 in the largest maternity ward in Uruguay. The use of difference-Generalized Method of Moments estimation addresses biases due to time invariant unobserved heterogeneity and feedback effects from prior pregnancies. Our estimates are larger than those usually found for developed countries: an adequate use of prenatal care - as defined by the Kessner criterion - decreases the probability of low birth weight by half and the likelihood of a pre-term birth by 70%. Even when imposing less stringent requirements on the total number of prenatal controls, the improvements over birth outcomes are considerable. In addition to indicating the crucial role of prenatal care in the birth outcomes of low-income populations, our analysis highlights the importance of using econometric techniques that use the full distribution of pregnancies to estimate the effectiveness of prenatal care.

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Paper provided by Facultad de Ciencias Empresariales y Economia. Universidad de Montevideo. in its series Documentos de Trabajo/Working Papers with number 1204.

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Date of creation: 2012
Date of revision:
Handle: RePEc:mnt:wpaper:1204
Contact details of provider: Postal: Prudencio de Pena 2440, Montevideo 11600
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  1. Sandra E. Black & Paul Devereux & Kjell G. Salvanes, 2007. "From the Cradle to the Labor Market? The Effect of Birth Weight on Adult Outcomes," Working Papers 200718, Geary Institute, University College Dublin.
  2. Currie, Janet & Grogger, Jeffrey, 2002. "Medicaid expansions and welfare contractions: offsetting effects on prenatal care and infant health?," Journal of Health Economics, Elsevier, vol. 21(2), pages 313-335, March.
  3. W. Frisbie & Douglas Forbes & Starling Pullum, 1996. "Compromised birth outcomes and infant mortality among racial and ethnic groups," Demography, Springer, vol. 33(4), pages 469-481, November.
  4. Janet Currie & Enrico Moretti, 2005. "Biology as Destiny? Short and Long-Run Determinants of Intergenerational Transmission of Birth Weight," NBER Working Papers 11567, National Bureau of Economic Research, Inc.
  5. Guilkey, David K. & Popkin, Barry M. & Akin, John S. & Wong, Emelita L., 1989. "Prenatal care and pregnancy outcome in Cebu, Philippines," Journal of Development Economics, Elsevier, vol. 30(2), pages 241-272, April.
  6. Partha Deb & Karen Smith Conway, 2002. "Is Prenatal Care Really Ineffective? Or, is the 'Devil' in the Distribution?," Economics Working Paper Archive at Hunter College 02/2, Hunter College Department of Economics.
  7. Paula Veiga & Ronald P. Wilder, 2006. "Maternal smoking during pregnancy and birthweight - A propensity score matching approach," NIMA Working Papers 32, Núcleo de Investigação em Microeconomia Aplicada (NIMA), Universidade do Minho.
  8. Nancy E. Reichman & Hope Corman & Kelly Noonan & Dhaval Dave, 2009. "Infant health production functions: what a difference the data make," Health Economics, John Wiley & Sons, Ltd., vol. 18(7), pages 761-782.
  9. Jewell R. Todd & Patricia Triunfo & Rafael Aguirre, 2007. "El peso al nacer de los niños de la principal maternidad de Uruguay: 1995 a 2004," REVISTA DESARROLLO Y SOCIEDAD, UNIVERSIDAD DE LOS ANDES-CEDE, February.
  10. R. Todd Jewell & Patricia Triunfo, 2006. "The impact of prenatal care on birthweight: the case of Uruguay," Health Economics, John Wiley & Sons, Ltd., vol. 15(11), pages 1245-1250.
  11. George L. Wehby & Jeffrey C. Murray & Eduardo E. Castilla & Jorge S. Lopez-Camelo & Robert L. Ohsfeldt, 2009. "Quantile effects of prenatal care utilization on birth weight in Argentina," Health Economics, John Wiley & Sons, Ltd., vol. 18(11), pages 1307-1321.
  12. Jason Boardman & Daniel Powers & Yolanda Padilla & Robert Hummer, 2002. "Low birth weight, social factors, and developmental outcomes among children in the United States," Demography, Springer, vol. 39(2), pages 353-368, May.
  13. Theodore Joyce & Michael Grossman, 1990. "Pregnancy wantedness and the early initiation of prenatal care," Demography, Springer, vol. 27(1), pages 1-17, February.
  14. James Cramer, 1995. "Racial and Ethnic Differences in Birthweight: The Role of Income and Financial Assistance," Demography, Springer, vol. 32(2), pages 231-247, May.
  15. Geoffrey Warner, 1998. "Birthweight Productivity of Prenatal Care," Southern Economic Journal, Southern Economic Association, vol. 65(1), pages 42-63, July.
  16. Grossman, Michael & Joyce, Theodore J, 1990. "Unobservables, Pregnancy Resolutions, and Birth Weight Production Functions in New York City," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 983-1007, October.
  17. Anne Case & Angela Fertig & Christina Paxson, 2004. "The Lasting Impact of Childhood Health and Circumstance," Working Papers 246, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Health and Wellbeing..
  18. Jason Abrevaya, 2006. "Estimating the effect of smoking on birth outcomes using a matched panel data approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(4), pages 489-519.
  19. Robert Kaestner & Won Chan Lee, 2005. "The effect of welfare reform on prenatal care and birth weight," Health Economics, John Wiley & Sons, Ltd., vol. 14(5), pages 497-511.
  20. Li, Kai & Poirier, Dale J., 2003. "An econometric model of birth inputs and outputs for Native Americans," Journal of Econometrics, Elsevier, vol. 113(2), pages 337-361, April.
  21. Kai Li & Dale J. Poirier, 2003. "Bayesian analysis of an econometric model of birth inputs and outputs," Journal of Population Economics, Springer, vol. 16(3), pages 597-625, 08.
  22. Mark R. Rosenzweig & T. Paul Schultz, 1988. "The Stability of Household Production Technology: A Replication," Journal of Human Resources, University of Wisconsin Press, vol. 23(4), pages 535-549.
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