Time is money: Outpatient waiting times and health insurance choices of elderly veterans in the United States
AbstractGrowth in the number of days between an appointment request and the actual appointment reduces demand. Although such waiting times are relatively low in the US, current policy initiatives could cause them to increase. We estimate multiple-equation models of physician utilization and insurance plan choice for Medicare-eligible veterans. We find that a 10% increase in VA waiting times increases demand for Medigap insurance by 5%, implying that a representative patient would be indifferent between waiting an average of 5 more days for VA appointments and paying $300 more in annual premium.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Journal of Health Economics.
Volume (Year): 30 (2011)
Issue (Month): 4 (July)
Contact details of provider:
Web page: http://www.elsevier.com/locate/inca/505560
Outpatient waiting times Insurance choice Medicare;
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Lindsay, Cotton M & Feigenbaum, Bernard, 1984. "Rationing by Waiting Lists," American Economic Review, American Economic Association, vol. 74(3), pages 404-17, June.
- Steven Pizer & Austin Frakt & Roger Feldman, 2009. "Nothing for something? Estimating cost and value for beneficiaries from recent medicare spending increases on HMO payments and drug benefits," International Journal of Health Care Finance and Economics, Springer, vol. 9(1), pages 59-81, March.
- Douglas Staiger & James H. Stock, 1997.
"Instrumental Variables Regression with Weak Instruments,"
Econometric Society, vol. 65(3), pages 557-586, May.
- Douglas Staiger & James H. Stock, 1994. "Instrumental Variables Regression with Weak Instruments," NBER Technical Working Papers 0151, National Bureau of Economic Research, Inc.
- Terza, Joseph V. & Basu, Anirban & Rathouz, Paul J., 2008. "Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling," Journal of Health Economics, Elsevier, vol. 27(3), pages 531-543, May.
- Nevo, Aviv, 1999.
"Measuring Market Power in the Ready-to-Eat Cereal Industry,"
Competition Policy Center, Working Paper Series
qt7cm5p858, Competition Policy Center, Institute for Business and Economic Research, UC Berkeley.
- Nevo, Aviv, 2001. "Measuring Market Power in the Ready-to-Eat Cereal Industry," Econometrica, Econometric Society, vol. 69(2), pages 307-42, March.
- Aviv Nevo, 1998. "Measuring Market Power in the Ready-to-Eat Cereal Industry," NBER Working Papers 6387, National Bureau of Economic Research, Inc.
- Aviv Nevo, 2003. "Measuring Market Power in the Ready-to-Eat Cereal Industry," Microeconomics 0303006, EconWPA.
- Nevo, Aviv, 1998. "Measuring Market Power in the Ready-To-Eat Cereal Industry," Research Reports 25164, University of Connecticut, Food Marketing Policy Center.
- Gravelle, Hugh & Siciliani, Luigi, 2008. "Optimal quality, waits and charges in health insurance," Journal of Health Economics, Elsevier, vol. 27(3), pages 663-674, May.
- Town, Robert & Liu, Su, 2003. " The Welfare Impact of Medicare HMOs," RAND Journal of Economics, The RAND Corporation, vol. 34(4), pages 719-36, Winter.
- Steven D. Pizer & Austin B. Frakt & Roger Feldman, 2008. "Predicting risk selection following major changes in medicare," Health Economics, John Wiley & Sons, Ltd., vol. 17(4), pages 453-468.
- Joshua D. Angrist & Guido W. Imbens, 1995.
"Identification and Estimation of Local Average Treatment Effects,"
NBER Technical Working Papers
0118, National Bureau of Economic Research, Inc.
- Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-75, March.
- Propper, Carol, 2000. "The demand for private health care in the UK," Journal of Health Economics, Elsevier, vol. 19(6), pages 855-876, November.
- Goddard, Maria & Smith, Peter, 2001. "Equity of access to health care services: : Theory and evidence from the UK," Social Science & Medicine, Elsevier, vol. 53(9), pages 1149-1162, November.
- Cullis, John G. & Jones, Philip R. & Propper, Carol, 2000. "Waiting lists and medical treatment: Analysis and policies," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 23, pages 1201-1249 Elsevier.
- Tim Besley & John Hall & Ian Preston, 1996.
"The demand for private health insurance: do waiting lists matter?,"
IFS Working Papers
W96/07, Institute for Fiscal Studies.
- Besley, Timothy & Hall, John & Preston, Ian, 1999. "The demand for private health insurance: do waiting lists matter?," Journal of Public Economics, Elsevier, vol. 72(2), pages 155-181, May.
- Buckley, Neil J. & Cuff, Katherine & Hurley, Jeremiah & McLeod, Logan & Mestelman, Stuart & Cameron, David, 2012.
"An experimental investigation of mixed systems of public and private health care finance,"
Journal of Economic Behavior & Organization,
Elsevier, vol. 84(3), pages 713-729.
- Neil J. Buckley & Katherine Cuff & Jeremiah Hurley & Logan McLeod & Stuart Mestelman & David Cameron, 2012. "An Experimental Investigation of Mixed Systems of Public and Private Health Care Finance," Department of Economics Working Papers 2012-02, McMaster University.
- Markus Jochmann, 2009.
"What Belongs Where? Variable Selection for Zero-Inflated Count Models with an Application to the Demand for Health Care,"
0923, University of Strathclyde Business School, Department of Economics.
- Markus Jochmann, 2013. "What belongs where? Variable selection for zero-inflated count models with an application to the demand for health care," Computational Statistics, Springer, vol. 28(5), pages 1947-1964, October.
- Markus Jochmann, 2009. "What Belongs Where? Variable Selection for Zero-Inflated Count Models with an Application to the Demand for Health Care," Working Paper Series 45_09, The Rimini Centre for Economic Analysis, revised Jan 2009.
- Jochmann, Markus, 2009. "What Belongs Where? Variable Selection for Zero-Inflated Count Models with an Application to the Demand for Health Care," SIRE Discussion Papers 2009-54, Scottish Institute for Research in Economics (SIRE).
- Gregori Baetschmann & Rainer Winkelmann, 2012. "Modelling zero-inflated count data when exposure varies: with an application to sick leave," ECON - Working Papers 061, Department of Economics - University of Zurich.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
If references are entirely missing, you can add them using this form.