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Co-payment exemption and healthcare consumption: quasi-experimental evidence from Italy

Author

Listed:
  • Vanessa Cirulli

    (Sapienza University of Rome)

  • Giuliano Resce

    (University of Molise)

  • Marco Ventura

    (Sapienza University of Rome)

Abstract

This paper investigates the causal effect of co-payment exemption on the number of specialist visits in the Italian National Health System. Exploiting a discontinuity in the multiple eligibility criteria, we apply multiple regression discontinuity in a quasi-experimental setting, considering both age and income requirements. Differently from the standard regression discontinuity, this twofold discontinuity allows to identify the effect of co-payment on a particularly needy sub-population of less wealthy people and how it changes according to the eligibility criteria. We find positive effects of co-payment exemption and the effects are stronger for less wealthy and older individuals. The result may be useful to the policy maker to tailor ad-hoc policies aimed at disadvantaged sub-populations.

Suggested Citation

  • Vanessa Cirulli & Giuliano Resce & Marco Ventura, 2024. "Co-payment exemption and healthcare consumption: quasi-experimental evidence from Italy," Empirical Economics, Springer, vol. 67(1), pages 355-380, July.
  • Handle: RePEc:spr:empeco:v:67:y:2024:i:1:d:10.1007_s00181-023-02552-1
    DOI: 10.1007/s00181-023-02552-1
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    1. repec:dau:papers:123456789/7402 is not listed on IDEAS
    2. Bernal, Noelia & Carpio, Miguel A. & Klein, Tobias J., 2017. "The effects of access to health insurance: Evidence from a regression discontinuity design in Peru," Journal of Public Economics, Elsevier, vol. 154(C), pages 122-136.
    3. Ponzo, Michela & Scoppa, Vincenzo, 2021. "Does demand for health services depend on cost-sharing? Evidence from Italy," Economic Modelling, Elsevier, vol. 103(C).
    4. Badi H. Baltagi & Raffaele Lagravinese & Francesco Moscone & Elisa Tosetti, 2017. "Health Care Expenditure and Income: A Global Perspective," Health Economics, John Wiley & Sons, Ltd., vol. 26(7), pages 863-874, July.
    5. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs," Econometrica, Econometric Society, vol. 82, pages 2295-2326, November.
    6. Brian A. Jacob & Lars Lefgren, 2004. "Remedial Education and Student Achievement: A Regression-Discontinuity Analysis," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 226-244, February.
    7. Angrist, Joshua D, 2001. "Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 2-16, January.
    8. Nolan, Anne, 2008. "Evaluating the impact of eligibility for free care on the use of general practitioner (GP) services: A difference-in-difference matching approach," Social Science & Medicine, Elsevier, vol. 67(7), pages 1164-1172, October.
    9. Cherkin, Daniel C. & Grothaus, Louis & Wagner, Edward H., 1992. "Is magnitude of co-payment effect related to income? Using census data for health services research," Social Science & Medicine, Elsevier, vol. 34(1), pages 33-41, January.
    10. Susan Athey & Stefan Wager, 2021. "Policy Learning With Observational Data," Econometrica, Econometric Society, vol. 89(1), pages 133-161, January.
    11. Giuliano Resce & Raffaele Lagravinese & Elisa Benedetti & Sabrina Molinaro, 2019. "Income-related inequality in gambling: evidence from Italy," Review of Economics of the Household, Springer, vol. 17(4), pages 1107-1131, December.
    12. Battistin, Erich & Rettore, Enrico, 2008. "Ineligibles and eligible non-participants as a double comparison group in regression-discontinuity designs," Journal of Econometrics, Elsevier, vol. 142(2), pages 715-730, February.
    13. Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
    14. Vincenzo Atella & Joanna Kopinska, 2014. "The impact of cost-sharing schemes on drug compliance in Italy: evidence based on quantile regression," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 59(2), pages 329-339, April.
    15. Yingying Dong & Arthur Lewbel, 2015. "Identifying the Effect of Changing the Policy Threshold in Regression Discontinuity Models," The Review of Economics and Statistics, MIT Press, vol. 97(5), pages 1081-1092, December.
    16. Matias D. Cattaneo & Nicolas Idrobo & Rocio Titiunik, 2023. "A Practical Introduction to Regression Discontinuity Designs: Extensions," Papers 2301.08958, arXiv.org, revised Mar 2024.
    17. Matias D. Cattaneo & Rocío Titiunik & Gonzalo Vazquez-Bare, 2020. "Analysis of regression-discontinuity designs with multiple cutoffs or multiple scores," Stata Journal, StataCorp LP, vol. 20(4), pages 866-891, December.
    18. Keele, Luke J. & Titiunik, Rocío, 2015. "Geographic Boundaries as Regression Discontinuities," Political Analysis, Cambridge University Press, vol. 23(1), pages 127-155, January.
    19. Rainer Winkelmann, 2004. "Co‐payments for prescription drugs and the demand for doctor visits – Evidence from a natural experiment," Health Economics, John Wiley & Sons, Ltd., vol. 13(11), pages 1081-1089, November.
    20. Carnazza, Giovanni & Liberati, Paolo & Resce, Giuliano & Molinaro, Sabrina, 2021. "Smoking and income distribution: Inequalities in new and old products," Health Policy, Elsevier, vol. 125(2), pages 261-268.
    21. Sebastian Calonico & Matias D Cattaneo & Max H Farrell, 2020. "Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 192-210.
    22. Papay, John P. & Willett, John B. & Murnane, Richard J., 2011. "Extending the regression-discontinuity approach to multiple assignment variables," Journal of Econometrics, Elsevier, vol. 161(2), pages 203-207, April.
    23. Aviva Aron-Dine & Liran Einav & Amy Finkelstein, 2013. "The RAND Health Insurance Experiment, Three Decades Later," Journal of Economic Perspectives, American Economic Association, vol. 27(1), pages 197-222, Winter.
    24. Astrid Kiil & Kurt Houlberg, 2014. "How does copayment for health care services affect demand, health and redistribution? A systematic review of the empirical evidence from 1990 to 2011," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(8), pages 813-828, November.
    25. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 933-959.
    26. Frey, Anderson, 2019. "Cash transfers, clientelism, and political enfranchisement: Evidence from Brazil," Journal of Public Economics, Elsevier, vol. 176(C), pages 1-17.
    27. Amy Finkelstein & Sarah Taubman & Bill Wright & Mira Bernstein & Jonathan Gruber & Joseph P. Newhouse & Heidi Allen & Katherine Baicker, 2012. "The Oregon Health Insurance Experiment: Evidence from the First Year," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1057-1106.
    28. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    29. Natalia Serna, 2021. "Cost sharing and the demand for health services in a regulated market," Health Economics, John Wiley & Sons, Ltd., vol. 30(6), pages 1259-1275, June.
    30. Gonzalo Vazquez-Bare & Matias Cattaneo & Rocio Titiunik, 2016. "rdlocrand: a Stata Package for Inference in Regression Discontinuity Designs under Local Randomizati," 2016 Stata Conference 25, Stata Users Group.
    31. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2018. "Manipulation testing based on density discontinuity," Stata Journal, StataCorp LP, vol. 18(1), pages 234-261, March.
    32. Damon Clark & Paco Martorell, 2014. "The Signaling Value of a High School Diploma," Journal of Political Economy, University of Chicago Press, vol. 122(2), pages 282-318.
    33. Carine Van De Voorde & Eddy Van Doorslaer & Erik Schokkaert, 2001. "Effects of cost sharing on physician utilization under favourable conditions for supplier‐induced demand," Health Economics, John Wiley & Sons, Ltd., vol. 10(5), pages 457-471, July.
    34. Paolo Liberati, 2015. "The World Distribution of Income And Its Inequality, 1970–2009," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(2), pages 248-273, June.
    35. Matias Cattaneo & Rocio Titiunik & Gonzalo Vazquez-Bare, 2019. "Power calculations for regression-discontinuity designs," Stata Journal, StataCorp LP, vol. 19(1), pages 210-245, March.
    36. Sebastian Calonico & Matias D. Cattaneo & Rocío Titiunik, 2015. "Optimal Data-Driven Regression Discontinuity Plots," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1753-1769, December.
    37. Philip Arestis & Ron Martin & Peter Tyler, 2011. "The Persistence of Inequality?," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 4(1), pages 3-11.
    38. Melissa Dell, 2010. "The Persistent Effects of Peru's Mining Mita," Econometrica, Econometric Society, vol. 78(6), pages 1863-1903, November.
    39. Raffaele Lagravinese, 2015. "Economic crisis and rising gaps North–South: evidence from the Italian regions," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 8(2), pages 331-342.
    40. Cockx, Bart & Brasseur, Carine, 2003. "The demand for physician services: Evidence from a natural experiment," Journal of Health Economics, Elsevier, vol. 22(6), pages 881-913, November.
    41. De Matteis, Domenico & Ishizaka, Alessio & Resce, Giuliano, 2019. "The ‘postcode lottery’ of the Italian public health bill analysed with the hierarchy Stochastic Multiobjective Acceptability Analysis," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    42. Matias D. Cattaneo & Roc ́ıo Titiunik & Gonzalo Vazquez-Bare, 2016. "Inference in regression discontinuity designs under local randomization," Stata Journal, StataCorp LP, vol. 16(2), pages 331-367, June.
    43. Fiorio, Carlo V. & Siciliani, Luigi, 2010. "Co-payments and the demand for pharmaceuticals: Evidence from Italy," Economic Modelling, Elsevier, vol. 27(4), pages 835-841, July.
    44. Layte, Richard & Nolan, Anne & McGee, Hannah & O'Hanlon, Ann, 2009. "Do consultation charges deter general practitioner use among older people? A natural experiment," Social Science & Medicine, Elsevier, vol. 68(8), pages 1432-1438, April.
    45. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Roc ́ıo Titiunik, 2017. "rdrobust: Software for regression-discontinuity designs," Stata Journal, StataCorp LP, vol. 17(2), pages 372-404, June.
    46. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    47. Luca Grassetti & Laura Rizzi, 2019. "The determinants of individual health care expenditures in the Italian region of Friuli Venezia Giulia: evidence from a hierarchical spatial model estimation," Empirical Economics, Springer, vol. 56(3), pages 987-1009, March.
    48. Burt S. Barnow & Matias D. Cattaneo & Rocío Titiunik & Gonzalo Vazquez‐Bare, 2017. "Comparing Inference Approaches for RD Designs: A Reexamination of the Effect of Head Start on Child Mortality," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 36(3), pages 643-681, June.
    49. Vincenzo Atella & Franco Peracchi & Domenico Depalo & Claudio Rossetti, 2006. "Drug compliance, co‐payment and health outcomes: evidence from a panel of Italian patients," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 875-892, September.
    50. Joshua D. Angrist & Miikka Rokkanen, 2015. "Wanna Get Away? Regression Discontinuity Estimation of Exam School Effects Away From the Cutoff," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1331-1344, December.
    51. Lagravinese, Raffaele & Liberati, Paolo & Resce, Giuliano, 2019. "Exploring health outcomes by stochastic multicriteria acceptability analysis: An application to Italian regions," European Journal of Operational Research, Elsevier, vol. 274(3), pages 1168-1179.
    52. Ya-Ling Lin & Wen-Yi Chen & Shwn-Huey Shieh, 2020. "Age Structural Transitions and Copayment Policy Effectiveness: Evidence from Taiwan’s National Health Insurance System," IJERPH, MDPI, vol. 17(12), pages 1-17, June.
    53. Angrist, Joshua D, 2001. "Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 27-28, January.
    54. Salvatore Greco & Alessio Ishizaka & Benedetto Matarazzo & Gianpiero Torrisi, 2018. "Stochastic multi-attribute acceptability analysis (SMAA): an application to the ranking of Italian regions," Regional Studies, Taylor & Francis Journals, vol. 52(4), pages 585-600, April.
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    More about this item

    Keywords

    Multiple regression discontinuity (MRD); Healthcare; Co-payment; Demand effects; National Health System;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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