IDEAS home Printed from https://ideas.repec.org/p/aep/anales/4311.html
   My bibliography  Save this paper

Impacto de la implementación del Servicio de Atención Médica de Emergencias (SAME) sobre las muertes por accidentes de tránsito en la provincia de Buenos Aires

Author

Listed:
  • Ivana Benzaquén
  • Nicolás Epele
  • Mariana Marchionni

Abstract

Este trabajo evalúa el impacto de la implementación del Servicio de Atención Médica de Emergencias (SAME) en la provincia de Buenos Aires sobre las muertes por accidentes viales a partir de información mensual sobre accidentes de tránsito de los 135 municipios de la provincia para los años 2016, 2017 y 2018. Se explota la variabilidad en el momento de implementación del SAME entre los municipios y el hecho de que algunos nunca adoptaron el servicio para identificar el efecto promedio para los municipios con SAME mediante la metodología de Diferencias en Diferencias. El principal resultado es que con la implementación del SAME se produce una reducción promedio de 15 defunciones cada mil accidentados, lo que representa un descenso de 19% con relación a la línea de base. Se realizan varios chequeos de robustez y los resultados se mantienen. De la descomposición de Goodman-Bacon (2019) se obtiene que el 44% del efecto promedio surge de la variabilidad en los momentos de implementación del SAME entre municipios.

Suggested Citation

  • Ivana Benzaquén & Nicolás Epele & Mariana Marchionni, 2020. "Impacto de la implementación del Servicio de Atención Médica de Emergencias (SAME) sobre las muertes por accidentes de tránsito en la provincia de Buenos Aires," Asociación Argentina de Economía Política: Working Papers 4311, Asociación Argentina de Economía Política.
  • Handle: RePEc:aep:anales:4311
    as

    Download full text from publisher

    File URL: https://aaep.org.ar/works/works2020/Benzaquen.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    2. David Card, 1990. "The Impact of the Mariel Boatlift on the Miami Labor Market," ILR Review, Cornell University, ILR School, vol. 43(2), pages 245-257, January.
    3. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    4. Card, David & Krueger, Alan B, 1994. "Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania," American Economic Review, American Economic Association, vol. 84(4), pages 772-793, September.
    5. José Castillo-Manzano & Mercedes Castro-Nuño & Xavier Fageda, 2014. "Can health public expenditure reduce the tragic consequences of road traffic accidents? The EU-27 experience," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(6), pages 645-652, July.
    6. Bentham, Graham, 1986. "Proximity to hospital and mortality from motor vehicle traffic accidents," Social Science & Medicine, Elsevier, vol. 23(10), pages 1021-1026, January.
    7. Brodsky, H., 1992. "Delay in ambulance dispatch to road accidents," American Journal of Public Health, American Public Health Association, vol. 82(6), pages 873-875.
    Full references (including those not matched with items on IDEAS)

    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. Athey, Susan & Imbens, Guido W., 2022. "Design-based analysis in Difference-In-Differences settings with staggered adoption," Journal of Econometrics, Elsevier, vol. 226(1), pages 62-79.
    2. Martin Huber, 2019. "An introduction to flexible methods for policy evaluation," Papers 1910.00641, arXiv.org.
    3. Fone, Zachary S. & Sabia, Joseph J. & Cesur, Resul, 2023. "The unintended effects of minimum wage increases on crime," Journal of Public Economics, Elsevier, vol. 219(C).
    4. Reimer, Matthew N. & Guettabi, Mouhcine & Tanaka, Audrey-Loraine, 2017. "Short-run impacts of a severance tax change: Evidence from Alaska," Energy Policy, Elsevier, vol. 107(C), pages 448-458.
    5. van der Klaauw, Bas, 2014. "From micro data to causality: Forty years of empirical labor economics," Labour Economics, Elsevier, vol. 30(C), pages 88-97.
    6. Bruno Paolo Bosco & Paolo Maranzano, 2025. "Vis Inertiae and Statistical Inference: A Review of Difference-in-Differences Methods Employed in Economics and Other Subjects," Econometrics, MDPI, vol. 13(4), pages 1-56, September.
    7. Alberto Abadie & Alexis Diamond & Jens Hainmueller, 2007. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California's Tobacco Control Program," NBER Technical Working Papers 0335, National Bureau of Economic Research, Inc.
    8. Guido W. Imbens, 2010. "Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 399-423, June.
    9. Sergei Guriev & Biagio Speciale & Michele Tuccio, 2019. "How do Regulated and Unregulated Labor Markets Respond to Shocks? Evidence from Immigrants During the Great Recession," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 35(1), pages 37-76.
    10. Bedard, Kelly & Kuhn, Peter, 2015. "Micro-marketing healthier choices: Effects of personalized ordering suggestions on restaurant purchases," Journal of Health Economics, Elsevier, vol. 39(C), pages 106-122.
    11. Roth, Jonathan & Sant’Anna, Pedro H.C. & Bilinski, Alyssa & Poe, John, 2023. "What’s trending in difference-in-differences? A synthesis of the recent econometrics literature," Journal of Econometrics, Elsevier, vol. 235(2), pages 2218-2244.
    12. Christian Alemán-Pericón & Alexander Ludwig & Christopher Busch & Raül Santaeulà lia-Llopis, 2022. "A Stage-Based Identification of Policy Effects," Working Papers 1369, Barcelona School of Economics.
    13. Herrero Prieto, Luis César, 2009. "La investigación en economía de la cultura en España: un estudio bibliométrico/Research in Cultural Economics in Spain: A Bibliometric Study," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 27, pages 35-62, Abril.
    14. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    15. Erlend E. Bø & Joel Slemrod & Thor O. Thoresen, 2015. "Taxes on the Internet: Deterrence Effects of Public Disclosure," American Economic Journal: Economic Policy, American Economic Association, vol. 7(1), pages 36-62, February.
    16. Greta Laage & Emma Frejinger & Andrea Lodi & Guillaume Rabusseau, 2021. "Assessing the Impact: Does an Improvement to a Revenue Management System Lead to an Improved Revenue?," Papers 2101.10249, arXiv.org, revised Jun 2021.
    17. Rösner, Anja & Haucap, Justus & Heimeshoff, Ulrich, 2020. "The impact of consumer protection in the digital age: Evidence from the European Union," International Journal of Industrial Organization, Elsevier, vol. 73(C).
    18. Binnur Balkan & Semih Tumen, 2016. "Immigration and prices: quasi-experimental evidence from Syrian refugees in Turkey," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(3), pages 657-686, July.
    19. Pécastaing, Nicolas & Chávez, Carlos, 2020. "The impact of El Niño phenomenon on dry forest-dependent communities' welfare in the northern coast of Peru," Ecological Economics, Elsevier, vol. 178(C).
    20. Timothy G. Conley & Christopher R. Taber, 2011. "Inference with "Difference in Differences" with a Small Number of Policy Changes," The Review of Economics and Statistics, MIT Press, vol. 93(1), pages 113-125, February.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

    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:aep:anales:4311. 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: Juan Manuel Quintero (email available below). General contact details of provider: https://edirc.repec.org/data/aaeppea.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.