IDEAS home Printed from https://ideas.repec.org/p/ecm/wc2000/0352.html
   My bibliography  Save this paper

An Econometric Model of Birth Inputs and Outputs

Author

Listed:
  • Kai Li

    (University of British Columbia)

  • Dale J. Poirier

    (University of California)

Abstract

This study offers a simultaneous equations model of the birth process with seven endogenous variables: four birht inputs, and three birth outputs. Our analysis conditions on twenty-four exogenous variables. The data are taken the NLSY. Separate analyses are performed on five different groups: Whites, Blacks, Hispanics, and Native Americans.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Kai Li & Dale J. Poirier, 2000. "An Econometric Model of Birth Inputs and Outputs," Econometric Society World Congress 2000 Contributed Papers 0352, Econometric Society.
  • Handle: RePEc:ecm:wc2000:0352
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/RePEc/es2000/0352.pdf
    File Function: main text
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Joseph Hotz, V. & Klerman, Jacob Alex & Willis, Robert J., 1993. "The economics of fertility in developed countries," Handbook of Population and Family Economics, in: M. R. Rosenzweig & Stark, O. (ed.), Handbook of Population and Family Economics, edition 1, volume 1, chapter 7, pages 275-347, Elsevier.
    2. James Cramer, 1995. "Racial and Ethnic Differences in Birthweight: The Role of Income and Financial Assistance," Demography, Springer;Population Association of America (PAA), vol. 32(2), pages 231-247, May.
    3. Dale J. Poirier, 1995. "Intermediate Statistics and Econometrics: A Comparative Approach," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262161494, April.
    4. Kai, Li, 1998. "Bayesian inference in a simultaneous equation model with limited dependent variables," Journal of Econometrics, Elsevier, vol. 85(2), pages 387-400, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Brian S. Armour & M. Melinda Pitts & Mary Beth Walker, 2011. "A decomposition of the black-white differential in birth outcomes," FRB Atlanta Working Paper 2011-01, Federal Reserve Bank of Atlanta.
    2. 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.
    3. Kai Li & Dale J. Poirier, 2003. "Relationship Between Maternal Behavior During Pregnancy, Birth Outcome, and Early Childhood Development: An Exploratory Study," CESifo Working Paper Series 1030, CESifo.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mingliang Li, 2006. "High school completion and future youth unemployment: new evidence from High School and Beyond," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 23-53, January.
    2. Chakravarty, Sugato & Li, Kai, 2003. "A Bayesian analysis of dual trader informativeness in futures markets," Journal of Empirical Finance, Elsevier, vol. 10(3), pages 355-371, May.
    3. Diane Coffey & Ashwini Deshpande & Jeffrey Hammer & Dean Spears, 2019. "Local Social Inequality, Economic Inequality, and Disparities in Child Height in India," Demography, Springer;Population Association of America (PAA), vol. 56(4), pages 1427-1452, August.
    4. Davide Pettenuzzo & Francesco Ravazzolo, 2016. "Optimal Portfolio Choice Under Decision‐Based Model Combinations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1312-1332, November.
    5. Jan R. Magnus & Wendun Wang & Xinyu Zhang, 2016. "Weighted-Average Least Squares Prediction," Econometric Reviews, Taylor & Francis Journals, vol. 35(6), pages 1040-1074, June.
    6. Koop, Gary & Poirier, Dale J., 2004. "Bayesian variants of some classical semiparametric regression techniques," Journal of Econometrics, Elsevier, vol. 123(2), pages 259-282, December.
    7. Tai-Hsin Huang & Yi-Huang Chiu & Chih-Ying Mao, 2021. "Imposing Regularity Conditions to Measure Banks’ Productivity Changes in Taiwan Using a Stochastic Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(2), pages 273-303, June.
    8. Rodney W. Strachan & Herman K. Van Dijk, 2013. "Evidence On Features Of A Dsge Business Cycle Model From Bayesian Model Averaging," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(1), pages 385-402, February.
    9. Koop, Gary & Dijk, Herman K. Van, 2000. "Testing for integration using evolving trend and seasonals models: A Bayesian approach," Journal of Econometrics, Elsevier, vol. 97(2), pages 261-291, August.
    10. Li Mingliang & Tobias Justin L, 2006. "Bayesian Analysis of Structural Effects in an Ordered Equation System," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(4), pages 1-24, December.
    11. Kristiina Huttunen & Jenni Kellokumpu, 2016. "The Effect of Job Displacement on Couples' Fertility Decisions," Journal of Labor Economics, University of Chicago Press, vol. 34(2), pages 403-442.
    12. Edith Duclos & Pierre Lefebvre & Philip Merrigan, 2001. "A 'Natural Experiment' on the Economics of Storks: Evidence on the Impact of Differential Family Policy on Fertility Rates in Canada," Cahiers de recherche CREFE / CREFE Working Papers 136, CREFE, Université du Québec à Montréal.
    13. Gordon, Stephen & St-Amour, Pascal, 1997. "Asset Prices with Contingent Preferences," Cahiers de recherche 9712, Université Laval - Département d'économique, revised 08 Jun 1998.
    14. Stephen Gordon & Michel Truchon, 2008. "Social choice, optimal inference and figure skating," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 30(2), pages 265-284, February.
    15. Lachos, Victor H. & Prates, Marcos O. & Dey, Dipak K., 2021. "Heckman selection-t model: Parameter estimation via the EM-algorithm," Journal of Multivariate Analysis, Elsevier, vol. 184(C).
    16. Mohit Batham & Soudeh Mirghasemi & Mohammad Arshad Rahman & Manini Ojha, 2021. "Modeling and Analysis of Discrete Response Data: Applications to Public Opinion on Marijuana Legalization in the United States," Papers 2109.10122, arXiv.org, revised May 2023.
    17. Joshua C. C. Chan & Justin L. Tobias, 2015. "Priors and Posterior Computation in Linear Endogenous Variable Models with Imperfect Instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(4), pages 650-674, June.
    18. Ivy Kodzi & Øystein Kravdal, 2013. "What has high fertility got to do with the low birth weight problem in Africa?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(25), pages 713-732.
    19. Sögner, Leopold, 2015. "Learning, convergence and economic constraints," Mathematical Social Sciences, Elsevier, vol. 75(C), pages 27-43.
    20. Jorge E. Araña & Carmelo J. León, 2012. "Scale-perception bias in the valuation of environmental risks," Applied Economics, Taylor & Francis Journals, vol. 44(20), pages 2607-2617, July.

    More about this item

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ecm:wc2000:0352. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/essssea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.