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The effect of distance on maternal institutional delivery choice: Evidence from Malawi

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  • Finn McGuire
  • Noemi Kreif
  • Peter C. Smith

Abstract

In many low‐ and middle‐income countries, geographical accessibility continues to be a barrier to health care utilization. In this paper, we aim to better understand the full relationship between distance to providers and utilization of maternal delivery services. We address three methodological challenges: non‐linear effects between distance and utilization; unobserved heterogeneity through non‐random distance “assignment”; and heterogeneous effects of distance. Linking Malawi Demographic Health Survey household data to Service Provision Assessment facility data, we consider distance as a continuous treatment variable, estimating a Dose‐Response Function based on generalized propensity scores, allowing exploration of non‐linearities in the effect of an increment in distance at different distance exposures. Using an instrumental variables approach, we examine the potential for unobserved differences between women residing at different distances to health facilities. Our results suggest distance significantly reduces the probability of having a facility delivery, with evidence of non‐linearities in the effect. The negative relationship is shown to be particularly strong for women with poor health knowledge and lower socio‐economic status, with important implications for equity. We also find evidence of potential unobserved confounding, suggesting that methods that ignore such confounding may underestimate the effect of distance on the utilization of health services.

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  • Finn McGuire & Noemi Kreif & Peter C. Smith, 2021. "The effect of distance on maternal institutional delivery choice: Evidence from Malawi," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 2144-2167, September.
  • Handle: RePEc:wly:hlthec:v:30:y:2021:i:9:p:2144-2167
    DOI: 10.1002/hec.4368
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    as
    1. Emek Basker, 2007. "When Good Instruments Go Bad," Working Papers 0706, Department of Economics, University of Missouri.
    2. Lavy, Victor & Strauss, John & Thomas, Duncan & de Vreyer, Philippe, 1996. "Quality of health care, survival and health outcomes in Ghana," Journal of Health Economics, Elsevier, vol. 15(3), pages 333-357, June.
    3. Victor R. Fuchs, 1972. "The Growing Demand for Medical Care," NBER Chapters, in: Essays in the Economics of Health and Medical Care, pages 61-68, National Bureau of Economic Research, Inc.
    4. Wong, Emelita L. & Popkin, Barry M. & Guilkey, David K. & Akin, John S., 1987. "Accessibility, quality of care and prenatal care use in the Philippines," Social Science & Medicine, Elsevier, vol. 24(11), pages 927-944, January.
    5. Egger, Peter H. & von Ehrlich, Maximilian, 2013. "Generalized propensity scores for multiple continuous treatment variables," Economics Letters, Elsevier, vol. 119(1), pages 32-34.
    6. Carlos A. Flores & Oscar A. Mitnik, 2013. "Comparing Treatments across Labor Markets: An Assessment of Nonexperimental Multiple-Treatment Strategies," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1691-1707, December.
    7. Kluve, Jochen & Schneider, Hilmar & Uhlendorff, Arne & Zhao, Zhong, 2007. "Evaluating Continuous Training Programs Using the Generalized Propensity Score," IZA Discussion Papers 3255, Institute of Labor Economics (IZA).
    8. Cattaneo, Matias D., 2010. "Efficient semiparametric estimation of multi-valued treatment effects under ignorability," Journal of Econometrics, Elsevier, vol. 155(2), pages 138-154, April.
    9. Tanser, Frank & Gijsbertsen, Brice & Herbst, Kobus, 2006. "Modelling and understanding primary health care accessibility and utilization in rural South Africa: An exploration using a geographical information system," Social Science & Medicine, Elsevier, vol. 63(3), pages 691-705, August.
    10. Lavy, Victor, 1996. "School supply constraints and children's educational outcomes in rural Ghana," Journal of Development Economics, Elsevier, vol. 51(2), pages 291-314, December.
    11. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    12. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
    13. Christopher J. Cronin & David K. Guilkey & Ilene S. Speizer, 2018. "The effects of health facility access and quality on family planning decisions in urban Senegal," Health Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 576-591, March.
    14. Mukhopadhyay, Abhiroop & Sahoo, Soham, 2016. "Does access to secondary education affect primary schooling? Evidence from India," Economics of Education Review, Elsevier, vol. 54(C), pages 124-142.
    15. Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 115-132, February.
    16. Florence Kondylis & Marco Manacorda, 2012. "School Proximity and Child Labor: Evidence from Rural Tanzania," Journal of Human Resources, University of Wisconsin Press, vol. 47(1), pages 32-63.
    17. Giuseppe Arbia & Giuseppe Espa & Diego Giuliani, 2015. "Measurement Errors Arising When Using Distances in Microeconometric Modelling and the Individuals’ Position Is Geo-Masked for Confidentiality," Econometrics, MDPI, vol. 3(4), pages 1-10, October.
    18. Michela Bia & Carlos A. Flores & Alfonso Flores-Lagunes & Alessandra Mattei, 2014. "A Stata package for the application of semiparametric estimators of dose–response functions," Stata Journal, StataCorp LP, vol. 14(3), pages 580-604, September.
    19. Fredrick Manang & Chikako Yamauchi, 2020. "The Impact of Access to Health Facilities on Maternal Care Use, Travel Patterns, and Health Status: Evidence from Longitudinal Data from Uganda," Economic Development and Cultural Change, University of Chicago Press, vol. 69(1), pages 405-451.
    20. Carlos A. Flores & Alfonso Flores-Lagunes & Arturo Gonzalez & Todd C. Neumann, 2012. "Estimating the Effects of Length of Exposure to Instruction in a Training Program: The Case of Job Corps," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 153-171, February.
    21. Catharina Hjortsberg, 2003. "Why do the sick not utilise health care? The case of Zambia," Health Economics, John Wiley & Sons, Ltd., vol. 12(9), pages 755-770, September.
    22. James J. Heckman & Sergio Urzua & Edward Vytlacil, 2006. "Understanding Instrumental Variables in Models with Essential Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 389-432, August.
    23. Sisira Sarma, 2009. "Demand for outpatient healthcare," Applied Health Economics and Health Policy, Springer, vol. 7(4), pages 265-277, December.
    24. Thaddeus, Sereen & Maine, Deborah, 1994. "Too far to walk: Maternal mortality in context," Social Science & Medicine, Elsevier, vol. 38(8), pages 1091-1110, April.
    25. Germano Mwabu & Martha Ainsworth & Andrew Nyamete, 1993. "Quality of Medical Care and Choice of Medical Treatment in Kenya: An Empirical Analysis," Journal of Human Resources, University of Wisconsin Press, vol. 28(4), pages 838-862.
    26. Santosh Kumar & Emily A. Dansereau & Christopher J. L. Murray, 2014. "Does distance matter for institutional delivery in rural India?," Applied Economics, Taylor & Francis Journals, vol. 46(33), pages 4091-4103, November.
    27. Eddy van Doorslaer & Cristina Masseria, 2004. "Income-Related Inequality in the Use of Medical Care in 21 OECD Countries," OECD Health Working Papers 14, OECD Publishing.
    28. Michela Bia & Alessandra Mattei, 2008. "A Stata package for the estimation of the dose–response function through adjustment for the generalized propensity score," Stata Journal, StataCorp LP, vol. 8(3), pages 354-373, September.
    29. Rosenzweig, Mark R & Wolpin, Kenneth I, 1986. "Evaluating the Effects of Optimally Distributed Public Programs: ChildHealth and Family Planning Interventions," American Economic Review, American Economic Association, vol. 76(3), pages 470-482, June.
    30. José Luis Montiel Olea & Carolin Pflueger, 2013. "A Robust Test for Weak Instruments," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 358-369, July.
    31. Paul, Bimal Kanti & Rumsey, Deborah J., 2002. "Utilization of health facilities and trained birth attendants for childbirth in rural Bangladesh: an empirical study," Social Science & Medicine, Elsevier, vol. 54(12), pages 1755-1765, June.
    32. Schultz, T. Paul, 2004. "Health economics and applications in developing countries," Journal of Health Economics, Elsevier, vol. 23(4), pages 637-641, July.
    33. Stock, Robert, 1983. "Distance and the utilization of health facilities in rural Nigeria," Social Science & Medicine, Elsevier, vol. 17(9), pages 563-570, January.
    34. Michael Grossman, 1972. "The Demand for Health: A Theoretical and Empirical Investigation," NBER Books, National Bureau of Economic Research, Inc, number gros72-1, March.
    35. Bijan J. Borah, 2006. "A mixed logit model of health care provider choice: analysis of NSS data for rural India," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 915-932, September.
    36. Fredrick Manang & Chikako Yamauchi, 2015. "The impact of access to health facilities on maternal care use and health status: Evidence from longitudinal data from rural Uganda," GRIPS Discussion Papers 15-19, National Graduate Institute for Policy Studies.
    37. Gerald Manthalu, 2019. "User fee exemption and maternal health care utilisation at mission health facilities in Malawi: An application of disequilibrium theory of demand and supply," Health Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 461-474, April.
    38. Michela Bia & Alessandra Mattei, 2012. "Assessing the effect of the amount of financial aids to Piedmont firms using the generalized propensity score," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(4), pages 485-516, November.
    39. Masters, Samuel H. & Burstein, Roy & Amofah, George & Abaogye, Patrick & Kumar, Santosh & Hanlon, Michael, 2013. "Travel time to maternity care and its effect on utilization in rural Ghana: A multilevel analysis," Social Science & Medicine, Elsevier, vol. 93(C), pages 147-154.
    40. Christoph Strupat, 2017. "Do Targeted Reproductive Health Services Matter? – The Impact of a Midwife Program in Indonesia," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1667-1681, December.
    41. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, April.
    42. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, April.
    43. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(3), pages 199-236, July.
    44. Rebecca L. Thornton, 2008. "The Demand for, and Impact of, Learning HIV Status," American Economic Review, American Economic Association, vol. 98(5), pages 1829-1863, December.
    45. Grépin, Karen A. & Habyarimana, James & Jack, William, 2019. "Cash on delivery: Results of a randomized experiment to promote maternal health care in Kenya," Journal of Health Economics, Elsevier, vol. 65(C), pages 15-30.
    46. Wooldridge, Jeffrey M., 2014. "Quasi-maximum likelihood estimation and testing for nonlinear models with endogenous explanatory variables," Journal of Econometrics, Elsevier, vol. 182(1), pages 226-234.
    47. Teketo Kassaw Tegegne & Catherine Chojenta & Deborah Loxton & Roger Smith & Kelemu Tilahun Kibret, 2018. "The impact of geographic access on institutional delivery care use in low and middle-income countries: Systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-16, August.
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    2. Ajay Mahal & Navy Mulou & Marie Ishida, 2023. "Distance to healthcare facilities, healthcare use and health outcomes: The case of Papua New Guinea," Australian Economic Papers, Wiley Blackwell, vol. 62(4), pages 616-632, December.

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