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Identifying demand for health resources using waiting times information

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  • Richard Blundell

    () (Institute for Fiscal Studies and IFS and UCL)

  • Frank Windmeijer

    () (Institute for Fiscal Studies and University of Bristol)

Abstract

less skilled workers has deteriorated, either through their ability to secure jobs and/or their ability to earn a decent wage. Some have linked this decline to modern computing technologies. This paper surveys the evidence on the effects of technical change on skills, wages and employment by examining the micro-econometric evidence (we take this to include studies at the industry, firm, plant and individual levels). We focus on over 70 empirical studies that have used direct measures of technology (rather than associating technology with a residual time trend). We first point to three basic methodological problems relating to endogeneity, fixed effects and measurement. Our survey comes to the following tentative conclusions: (i) there is a strong effect of technology on skills in the cross section which appears reasonably robust to various econometric problems; (ii) there is a strong effect of diffusion of technologies on wages in the cross section which is not robust to endogeneity and fixed effects; (iii) at the firm level product innovations appear to raise employment growth, but there is no clear evidence of a robust effect (either positive or negative) of process innovations or R&D on jobs.

Suggested Citation

  • Richard Blundell & Frank Windmeijer, 2000. "Identifying demand for health resources using waiting times information," IFS Working Papers W00/03, Institute for Fiscal Studies.
  • Handle: RePEc:ifs:ifsewp:00/03
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    1. Hardle, Wolfgang & Linton, Oliver, 1986. "Applied nonparametric methods," Handbook of Econometrics,in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 38, pages 2295-2339 Elsevier.
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    3. Hardle, Wolfgang & Linton, Oliver, 1986. "Applied nonparametric methods," Handbook of Econometrics,in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 38, pages 2295-2339 Elsevier.
    4. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", pages 129-137.
    5. Hardle, Wolfgang & Linton, Oliver, 1986. "Applied nonparametric methods," Handbook of Econometrics,in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 38, pages 2295-2339 Elsevier.
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    9. Martin, Stephen & Smith, Peter C., 1999. "Rationing by waiting lists: an empirical investigation," Journal of Public Economics, Elsevier, pages 141-164.
    10. Richard Blundell & Frank Windmeijer, 1997. "Cluster effects and simultaneity in multilevel models," Health Economics, John Wiley & Sons, Ltd., vol. 6(4), pages 439-443.
    11. Lindsay, Cotton M & Feigenbaum, Bernard, 1984. "Rationing by Waiting Lists," American Economic Review, American Economic Association, pages 404-417.
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    Cited by:

    1. Óscar D. Lourenço & Pedro L. Ferreira, 2005. "Utilization of public health centres in Portugal: effect of time costs and other determinants. Finite mixture models applied to truncated samples," Health Economics, John Wiley & Sons, Ltd., vol. 14(9), pages 939-953.
    2. Bond. D. & Conniffe.D., 2002. "Cross-Regional Equality in Health Care Funding," Economics, Finance and Accounting Department Working Paper Series n1120102.pdf, Department of Economics, Finance and Accounting, National University of Ireland - Maynooth.
    3. Hugh Gravelle & Matthew Sutton & Stephen Morris & Frank Windmeijer & Alastair Leyland & Chris Dibben & Mike Muirhead, 2003. "Modelling supply and demand influences on the use of health care: implications for deriving a needs-based capitation formula," Health Economics, John Wiley & Sons, Ltd., vol. 12(12), pages 985-1004.
    4. Bond, Derek & Conniffe, Denis, 2003. "Allocating Funding across Health Boards - Is Equity Easy?," Papers HRBWP05, Economic and Social Research Institute (ESRI).
    5. Panos Pashardes & Nicoletta Pashourtidou, 2011. "Consumer welfare from publicly supplemented private goods: age and income effects on demand for health care," Empirical Economics, Springer, pages 865-885.
    6. Siciliani, Luigi, 2006. "A dynamic model of supply of elective surgery in the presence of waiting times and waiting lists," Journal of Health Economics, Elsevier, vol. 25(5), pages 891-907, September.
    7. Shengelia, Bakhuti & Tandon, Ajay & Adams, Orvill B. & Murray, Christopher J.L., 2005. "Access, utilization, quality, and effective coverage: An integrated conceptual framework and measurement strategy," Social Science & Medicine, Elsevier, pages 97-109.
    8. Julien Forder, 2009. "Long-term care and hospital utilisation by older people: an analysis of substitution rates," Health Economics, John Wiley & Sons, Ltd., vol. 18(11), pages 1322-1338.
    9. Daniel J. Henderson & Christopher F. Parmeter, 2015. "Single-Step Estimation of a Partially Linear Model," Working Papers 2015-01, University of Miami, Department of Economics.
    10. Matthew Polisson, 2011. "Do waiting times matter in primary care? GP visits and list sizes in England," Economics Series Working Papers 541, University of Oxford, Department of Economics.
    11. Panos Pashardes & Nicoletta Pashourtidou, 2011. "Consumer welfare from publicly supplemented private goods: age and income effects on demand for health care," Empirical Economics, Springer, pages 865-885.
    12. Luigi Siciliani & Steve Martin, 2007. "An empirical analysis of the impact of choice on waiting times," Health Economics, John Wiley & Sons, Ltd., vol. 16(8), pages 763-779.
    13. Bond. D. & Conniffe.D., 2002. "Cross-Regional Equality in Health Care Funding," Economics, Finance and Accounting Department Working Paper Series n1120102.pdf, Department of Economics, Finance and Accounting, National University of Ireland - Maynooth.
    14. Goddard, John & Tavakoli, Manouche, 2008. "Efficiency and welfare implications of managed public sector hospital waiting lists," European Journal of Operational Research, Elsevier, vol. 184(2), pages 778-792, January.
    15. Silver, Mick & Heravi, Saeed, 2005. "A Failure in the Measurement of Inflation: Results From a Hedonic and Matched Experiment Using Scanner Data," Journal of Business & Economic Statistics, American Statistical Association, pages 269-281.

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