IDEAS home Printed from https://ideas.repec.org/p/nub/occpap/15.html
   My bibliography  Save this paper

Matching Estimates of the Impact of Over-the-Counter Emergency Birth Control on Teenage Pregnancy

Author

Abstract

In this paper we demonstrate how matching estimators can be used to evaluate policy interventions which are implemented in relatively few regions at different times. Our technique is based on translating calendar time into 'experimental time' to provide a common starting point for entry by different areas into the scheme. Such an approach is likely to have many applications, in particular to cases of state- or country- level interventions for which only aggregate data are available. We illustrate the technique using the case of free over-the-counter access to emergency birth control (EBC) for teenagers in England. We construct matching estimates of the impact of this scheme on the under-18 conception rate in local authorities. Irrespective of either the matching or the adjustment procedure, we do not find evidence that pharmacy EBC schemes led to significantly lower teenage pregnancy rates.

Suggested Citation

  • Sourafel Girma & David Paton, 2005. "Matching Estimates of the Impact of Over-the-Counter Emergency Birth Control on Teenage Pregnancy," Occasional Papers 15, Industrial Economics Division.
    • Handle: RePEc:nub:occpap:15
    as

    Download full text from publisher

    File URL: http://www.nottingham.ac.uk/%7Elizecon/RePEc/pdf/matching.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    2. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    3. Smith, Jeffrey & Todd, Petra, 2005. "Rejoinder," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 365-375.
    4. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    5. David Paton, 2004. "Random Behaviour Or Rational Choice? Family Planning, Teenage Pregnancy And STIs," Royal Economic Society Annual Conference 2004 135, Royal Economic Society.
    6. Alberto Abadie & Guido W. Imbens, 2002. "Simple and Bias-Corrected Matching Estimators for Average Treatment Effects," NBER Technical Working Papers 0283, National Bureau of Economic Research, Inc.
    7. Richard Blundell & Monica Costa Dias, 2000. "Evaluation methods for non-experimental data," Fiscal Studies, Institute for Fiscal Studies, vol. 21(4), pages 427-468, January.
    8. George A. Akerlof & Janet L. Yellen & Michael L. Katz, 1996. "An Analysis of Out-of-Wedlock Childbearing in the United States," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(2), pages 277-317.
    9. Paton, David, 2002. "The economics of family planning and underage conceptions," Journal of Health Economics, Elsevier, vol. 21(2), pages 207-225, March.
    10. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    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. Clarke, Damian & Salinas, Viviana, 2020. "Access to The Emergency Contraceptive Pill Improves Women's Health: Evidence from Chile," IZA Discussion Papers 13134, Institute of Labor Economics (IZA).
    2. Nuevo-Chiquero, Ana & Pino, Francisco J., 2019. "To Pill or Not to Pill? Access to Emergency Contraception and Contraceptive Behaviour," IZA Discussion Papers 12076, Institute of Labor Economics (IZA).
    3. Girma, Sourafel & Paton, David, 2011. "The impact of emergency birth control on teen pregnancy and STIs," Journal of Health Economics, Elsevier, vol. 30(2), pages 373-380, March.
    4. Girma, Sourafel & Paton, David, 2015. "Is education the best contraception: The case of teenage pregnancy in England?," Social Science & Medicine, Elsevier, vol. 131(C), pages 1-9.
    5. Pfeifer, Gregor & Stockburger, Mirjam, 2023. "The morning after: Prescription-free access to emergency contraceptive pills," Journal of Health Economics, Elsevier, vol. 91(C).
    6. Karen Mulligan, 2016. "Access to Emergency Contraception and its Impact on Fertility and Sexual Behavior," Health Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 455-469, April.
    7. repec:bla:ecinqu:v:51:y:2013:i:3:p:1682-1695 is not listed on IDEAS
    8. Kearney, Melissa S. & Levine, Phillip B., 2015. "Investigating recent trends in the U.S. teen birth rate," Journal of Health Economics, Elsevier, vol. 41(C), pages 15-29.
    9. Sourafel Girma & David Paton, 2013. "Does Parental Consent for Birth Control Affect Underage Pregnancy Rates? The Case of Texas," Demography, Springer;Population Association of America (PAA), vol. 50(6), pages 2105-2128, December.
    10. David Paton & Stephen Bullivant & Juan Soto, 2020. "The impact of sex education mandates on teenage pregnancy: International evidence," Health Economics, John Wiley & Sons, Ltd., vol. 29(7), pages 790-807, July.
    11. Xing Lin Feng & Guang Shi & Yan Wang & Ling Xu & Hao Luo & Juan Shen & Hui Yin & Yan Guo, 2010. "An impact evaluation of the Safe Motherhood Program in China," Health Economics, John Wiley & Sons, Ltd., vol. 19(S1), pages 69-94, September.
    12. Melissa Schettini Kearney & Phillip B. Levine, 2012. "Explaining Recent Trends in the U.S. Teen Birth Rate," NBER Working Papers 17964, National Bureau of Economic Research, Inc.

    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. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    2. Sourafel Girma & Holger Görg, 2016. "Evaluating the foreign ownership wage premium using a difference-in-differences matching approach," World Scientific Book Chapters, in: MULTINATIONAL ENTERPRISES AND HOST COUNTRY DEVELOPMENT Volume 53: World Scientific Studies in International Economics, chapter 2, pages 17-32, World Scientific Publishing Co. Pte. Ltd..
    3. Dettmann, Eva & Becker, Claudia & Schmeißer, Christian, 2010. "Is there a Superior Distance Function for Matching in Small Samples?," IWH Discussion Papers 3/2010, Halle Institute for Economic Research (IWH).
    4. Jochen Kluve & Boris Augurzky, 2007. "Assessing the performance of matching algorithms when selection into treatment is strong," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 533-557.
    5. Eliasson, Kent, 2006. "How Robust is the Evidence on the Returns to College Choice? Results Using Swedish Administrative Data," Umeå Economic Studies 692, Umeå University, Department of Economics.
    6. Steven Lehrer & Gregory Kordas, 2013. "Matching using semiparametric propensity scores," Empirical Economics, Springer, vol. 44(1), pages 13-45, February.
    7. Kluve, Jochen & Lehmann, Hartmut & Schmidt, Christoph M., 2008. "Disentangling Treatment Effects of Active Labor Market Policies: The Role of Labor Force Status Sequences," Labour Economics, Elsevier, vol. 15(6), pages 1270-1295, December.
    8. Messe, Pierre-Jean & Rouland, Bénédicte, 2014. "Stricter employment protection and firms' incentives to sponsor training: The case of French older workers," Labour Economics, Elsevier, vol. 31(C), pages 14-26.
    9. Jose C. Galdo & Jeffrey Smith & Dan Black, 2008. "Bandwidth Selection and the Estimation of Treatment Effects with Unbalanced Data," Annals of Economics and Statistics, GENES, issue 91-92, pages 189-216.
    10. Carlo Reggiani & Yevgeniya Shevtsova, 2018. "Trade and Productivity in a Transition Economy: the Role of Industry and Export Destination," Journal of Industry, Competition and Trade, Springer, vol. 18(3), pages 395-428, September.
    11. Eliasson, Kent, 2006. "College Choice And Earnings Among University Graduates In Sweden," Umeå Economic Studies 693, Umeå University, Department of Economics.
    12. Xing Lin Feng & Guang Shi & Yan Wang & Ling Xu & Hao Luo & Juan Shen & Hui Yin & Yan Guo, 2010. "An impact evaluation of the Safe Motherhood Program in China," Health Economics, John Wiley & Sons, Ltd., vol. 19(S1), pages 69-94, September.
    13. Spitz, Alexandra, 2004. "Using Methods of Treatment Evaluation to Estimate the Wage Effect of IT Usage," ZEW Discussion Papers 04-67, ZEW - Leibniz Centre for European Economic Research.
    14. Essama-Nssah, B., 2006. "Propensity score matching and policy impact analysis - a demonstration in EViews," Policy Research Working Paper Series 3877, The World Bank.
    15. Iacus, Stefano M. & Porro, Giuseppe, 2007. "Missing data imputation, matching and other applications of random recursive partitioning," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 773-789, October.
    16. Slottje, Daniel J. & Millimet, Daniel L. & Buchanan, Michael J., 2007. "Econometric analysis of copyrights," Journal of Econometrics, Elsevier, vol. 139(2), pages 303-317, August.
    17. Juan Díaz & Miguel Jaramillo, 2006. "An Evaluation of the Peruvian "Youth Labor Training Program"-PROJOVEN," OVE Working Papers 1006, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    18. Abebaw, Degnet & Fentie, Yibeltal & Kassa, Belay, 2010. "The impact of a food security program on household food consumption in Northwestern Ethiopia: A matching estimator approach," Food Policy, Elsevier, vol. 35(4), pages 286-293, August.
    19. Tommaso Nannicini, 2007. "Simulation-based sensitivity analysis for matching estimators," Stata Journal, StataCorp LP, vol. 7(3), pages 334-350, September.
    20. Mano, Yukichi & Akoten, John & Yoshino, Yutaka & Sonobe, Tetsushi, 2014. "Teaching KAIZEN to small business owners: An experiment in a metalworking cluster in Nairobi," Journal of the Japanese and International Economies, Elsevier, vol. 33(C), pages 25-42.

    More about this item

    Keywords

    matching estimators; family planning; teenage pregnancy; emergency birth control;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nub:occpap:15. 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: Robert Hoffmann (email available below). General contact details of provider: https://edirc.repec.org/data/ienotuk.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.