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The Dynamic Relationship between Low Birthweight and Induced Abortion in New York City: An Aggregate Time-Series Analysis

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Author Info
Theodore Joyce
Michael Grossman

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Abstract

We use a vector autorgression to examine the dynamic relationship between the race-specific percentage of pregnancies terminated by induced abortion and the race-specific percentage of low-birthweight births in New York City. With monthly data beginning in 1972, we find that induced abortion explains low birthweight for blacks, but not for whites. There is no evidence of feedback from low birthweight to induced abortion. Simulations based on the model reveal that an unanticipated decrease in the percentage of pregnancies terminated by induced abortion results in an increase in the rate of low-birthweight births among blacks. The findings suggest that restrictions on legalized abortion in New York City would worsen birth outcomes among blacks.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 3211.

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Date of creation: Feb 1991
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Handle: RePEc:nbr:nberwo:3211

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January. [Downloadable!] (restricted)
  2. Michael Grossman & Steven Jacobowitz, 1982. "Variations in Infant Mortality Rates among Counties in the United States: The Roles of Social Policies and Programs," NBER Working Papers 0615, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  3. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-38, July. [Downloadable!] (restricted)
  4. Backus, David, 1986. "The Canadian-U.S. Exchange Rate: Evidence from a Vector Autoregression," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 628-37, November. [Downloadable!] (restricted)
  5. Michael Grossman & Theodore J. Joyce, 1991. "Unobservables, Pregnancy Resolutions, and Birthweight Production Functions in New York City," NBER Working Papers 2746, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  6. Lutkepohl, Helmut, 1982. "Non-causality due to omitted variables," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 367-378, August. [Downloadable!] (restricted)
  7. Cooley, Thomas F. & Leroy, Stephen F., 1985. "Atheoretical macroeconometrics: A critique," Journal of Monetary Economics, Elsevier, vol. 16(3), pages 283-308, November. [Downloadable!] (restricted)
  8. Godfrey, Leslie G, 1978. "Testing for Higher Order Serial Correlation in Regression Equations When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1303-10, November. [Downloadable!] (restricted)
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  1. June E. O'Neill & Dave M. O'Neill, 2007. "Health Status, Health Care and Inequality: Canada vs. the U.S," NBER Working Papers 13429, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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