IDEAS home Printed from https://ideas.repec.org/a/wly/hlthec/v26y2017is2p139-157.html
   My bibliography  Save this article

The eldercare landscape: Evidence from California

Author

Listed:
  • Daniel P. McMillen
  • Elizabeth T. Powers

Abstract

Although the literature suggests that nursing home location is instrumental to the efficient functioning of the long‐term care industry, there has been little research directly focused on the spatial distribution of nursing homes. We discuss factors that may influence nursing home location choice, emphasizing agglomeration economies around hospitals. We estimate econometric models of location using information on all freestanding, MediCal‐licensed long‐term care facilities in the state of California. We find that nursing homes are more likely to locate in the same Census tract as a hospital and are more likely to locate in tracts nearer to those containing a hospital.

Suggested Citation

  • Daniel P. McMillen & Elizabeth T. Powers, 2017. "The eldercare landscape: Evidence from California," Health Economics, John Wiley & Sons, Ltd., vol. 26(S2), pages 139-157, September.
    • Handle: RePEc:wly:hlthec:v:26:y:2017:i:s2:p:139-157
    DOI: 10.1002/hec.3567
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hec.3567
    Download Restriction: no
    File URL: https://libkey.io/10.1002/hec.3567?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Paulo Guimarães & Octávio Figueirdo & Douglas Woodward, 2003. "A Tractable Approach to the Firm Location Decision Problem," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 201-204, February.
    2. McMillen, Daniel, 2015. "Conditionally parametric quantile regression for spatial data: An analysis of land values in early nineteenth century Chicago," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 28-38.
    3. Xiaokun Wang & Kara M. Kockelman, 2009. "Baysian Inference For Ordered Response Data With A Dynamic Spatial‐Ordered Probit Model," Journal of Regional Science, Wiley Blackwell, vol. 49(5), pages 877-913, December.
    4. Lambert, Dayton M. & Brown, Jason P. & Florax, Raymond J.G.M., 2010. "A two-step estimator for a spatial lag model of counts: Theory, small sample performance and an application," Regional Science and Urban Economics, Elsevier, vol. 40(4), pages 241-252, July.
    5. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
    6. McMillen, Daniel P., 1996. "One Hundred Fifty Years of Land Values in Chicago: A Nonparametric Approach," Journal of Urban Economics, Elsevier, vol. 40(1), pages 100-124, July.
    7. Grabowski, David C. & Hirth, Richard A., 2003. "Competitive spillovers across non-profit and for-profit nursing homes," Journal of Health Economics, Elsevier, vol. 22(1), pages 1-22, January.
    8. Rosenthal, Stuart S. & Strange, William C., 2004. "Evidence on the nature and sources of agglomeration economies," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 49, pages 2119-2171, Elsevier.
    9. James P. LeSage & R. Kelley Pace & Nina Lam & Richard Campanella & Xingjian Liu, 2011. "New Orleans business recovery in the aftermath of Hurricane Katrina," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(4), pages 1007-1027, October.
    10. Wrenn, Douglas H. & Sam, Abdoul G., 2014. "Geographically and temporally weighted likelihood regression: Exploring the spatiotemporal determinants of land use change," Regional Science and Urban Economics, Elsevier, vol. 44(C), pages 60-74.
    11. Chou, Shin-Yi, 2002. "Asymmetric information, ownership and quality of care: an empirical analysis of nursing homes," Journal of Health Economics, Elsevier, vol. 21(2), pages 293-311, March.
    12. White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
    13. Diego Puga, 2010. "The Magnitude And Causes Of Agglomeration Economies," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 203-219, February.
    14. Pinkse, Joris & Slade, Margaret E., 1998. "Contracting in space: An application of spatial statistics to discrete-choice models," Journal of Econometrics, Elsevier, vol. 85(1), pages 125-154, July.
    15. Dudey, Marc, 1990. "Competition by Choice: The Effect of Consumer Search on Firm Location Decisions," American Economic Review, American Economic Association, vol. 80(5), pages 1092-1104, December.
    16. Xiaokun Wang & Kara M. Kockelman, 2009. "Application of the dynamic spatial ordered probit model: Patterns of land development change in Austin, Texas," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 345-365, June.
    17. Klier, Thomas & McMillen, Daniel P, 2008. "Clustering of Auto Supplier Plants in the United States," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 460-471.
    18. Daniel P. McMillen & John F. McDonald, 2004. "Locally Weighted Maximum Likelihood Estimation: Monte Carlo Evidence and an Application," Advances in Spatial Science, in: Luc Anselin & Raymond J. G. M. Florax & Sergio J. Rey (ed.), Advances in Spatial Econometrics, chapter 10, pages 225-239, Springer.
    19. Cohen, Jeffrey P. & Morrison Paul, Catherine, 2008. "Agglomeration and Cost Economies for Washington State Hospital Services," Regional Science and Urban Economics, Elsevier, vol. 38(6), pages 553-564, November.
    20. Cohen, Jeffrey P. & Paul, Catherine J. Morrison, 2005. "Agglomeration economies and industry location decisions: the impacts of spatial and industrial spillovers," Regional Science and Urban Economics, Elsevier, vol. 35(3), pages 215-237, May.
    21. Henry G. Overman & Diego Puga, 2010. "Labor Pooling as a Source of Agglomeration: An Empirical Investigation," NBER Chapters, in: Agglomeration Economics, pages 133-150, National Bureau of Economic Research, Inc.
    22. Anna A. Amirkhanyan & Hyun Joon Kim & Kristina T. Lambright, 2008. "Does the public sector outperform the nonprofit and for-profit sectors? Evidence from a national panel study on nursing home quality and access," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 27(2), pages 326-353.
    23. Case, Anne, 1992. "Neighborhood influence and technological change," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 491-508, September.
    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. Bilotkach, Volodymyr & Braakmann, Nils & Gonzalo-Almorox, Eduardo & Wildman, John, 2017. "The effect of house prices on the long-term care market: Evidence from England," MPRA Paper 81987, University Library of Munich, Germany.

    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. Daniel McMillen & Maria Edisa Soppelsa, 2015. "A Conditionally Parametric Probit Model Of Microdata Land Use In Chicago," Journal of Regional Science, Wiley Blackwell, vol. 55(3), pages 391-415, June.
    2. Anna Gloria Billé & Samantha Leorato, 2017. "Quasi-ML estimation, Marginal Effects and Asymptotics for Spatial Autoregressive Nonlinear Models," BEMPS - Bozen Economics & Management Paper Series BEMPS44, Faculty of Economics and Management at the Free University of Bozen.
    3. Carrión-Flores, Carmen E. & Flores-Lagunes, Alfonso & Guci, Ledia, 2018. "An estimator for discrete-choice models with spatial lag dependence using large samples, with an application to land-use conversions," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 77-93.
    4. Martinetti, Davide & Geniaux, Ghislain, 2017. "Approximate likelihood estimation of spatial probit models," Regional Science and Urban Economics, Elsevier, vol. 64(C), pages 30-45.
    5. Anna Gloria Billé, 2013. "Computational Issues in the Estimation of the Spatial Probit Model: A Comparison of Various Estimators," The Review of Regional Studies, Southern Regional Science Association, vol. 43(2,3), pages 131-154, Winter.
    6. J. Paul Elhorst & Pim Heijnen & Anna Samarina & Jan P. A. M. Jacobs, 2017. "Transitions at Different Moments in Time: A Spatial Probit Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 422-439, March.
    7. Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2018. "Generalized spatial autocorrelation in a panel-probit model with an application to exporting in China," Empirical Economics, Springer, vol. 55(1), pages 193-211, August.
    8. Anping Chen & Marlon Boarnet & Mark Partridge & Raffaella Calabrese & Johan A. Elkink, 2014. "Estimators Of Binary Spatial Autoregressive Models: A Monte Carlo Study," Journal of Regional Science, Wiley Blackwell, vol. 54(4), pages 664-687, September.
    9. William R. Kerr & Scott Duke Kominers, 2015. "Agglomerative Forces and Cluster Shapes," The Review of Economics and Statistics, MIT Press, vol. 97(4), pages 877-899, October.
    10. Corral, Paul & Radchenko, Natalia, 2017. "What’s So Spatial about Diversification in Nigeria?," World Development, Elsevier, vol. 95(C), pages 231-253.
    11. Feng Li & Guangdong Li & Weishan Qin & Jing Qin & Haitao Ma, 2018. "Identifying Economic Growth Convergence Clubs and Their Influencing Factors in China," Sustainability, MDPI, vol. 10(8), pages 1-21, July.
    12. Laurent Davezies & Xavier D'Haultfoeuille & Denis Fougère, 2009. "Identification of peer effects using group size variation," Econometrics Journal, Royal Economic Society, vol. 12(3), pages 397-413, November.
    13. Sabina Buczkowska & Nicolas Coulombel & Matthieu de Lapparent, 2015. "Euclidean distance versus travel time in business location: A probabilistic mixture of hurdle-Poisson models," ERSA conference papers ersa15p1060, European Regional Science Association.
    14. Moretti, Enrico, 2011. "Local Labor Markets," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 14, pages 1237-1313, Elsevier.
    15. Laura Alfaro & Maggie Xiaoyang Chen, 2018. "Transportation cost and the geography of foreign investment," Chapters, in: Bruce A. Blonigen & Wesley W. Wilson (ed.), Handbook of International Trade and Transportation, chapter 12, pages 369-406, Edward Elgar Publishing.
    16. Laura Alfaro & Maggie X. Chen, 2016. "Location Fundamentals, Agglomeration Economies, and the Geography of Multinational Firms," Working Papers 2016-18, The George Washington University, Institute for International Economic Policy.
    17. Silveira Santos, Luís & Proença, Isabel, 2019. "The inversion of the spatial lag operator in binary choice models: Fast computation and a closed formula approximation," Regional Science and Urban Economics, Elsevier, vol. 76(C), pages 74-102.
    18. Edivaldo C. Neves Jr & Carlos R. Azzoni, Andre Chagas, 2017. "Skill wage premium and city size," Working Papers, Department of Economics 2017_19, University of São Paulo (FEA-USP).
    19. Lambert, Dayton M. & Brown, Jason P. & Florax, Raymond J.G.M., 2010. "A two-step estimator for a spatial lag model of counts: Theory, small sample performance and an application," Regional Science and Urban Economics, Elsevier, vol. 40(4), pages 241-252, July.
    20. Vicente Royuela, 2015. "The role of urbanisation on international migrations: a case study of EU and ENP countries," International Journal of Manpower, Emerald Group Publishing Limited, vol. 36(4), pages 469-490, July.

    More about this item

    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:wly:hlthec:v:26:y:2017:i:s2:p:139-157. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/5749 .

    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.