IDEAS home Printed from https://ideas.repec.org/p/cuf/wpaper/569.html

Rural-Urban Education and Health Disparities in China: A Structural Approach

Author

Listed:
  • Li Gan
  • Guan Gong
  • Heng-Fu Zou

Abstract

No abstract is available for this item.

Suggested Citation

  • Li Gan & Guan Gong & Heng-Fu Zou, 2005. "Rural-Urban Education and Health Disparities in China: A Structural Approach," CEMA Working Papers 569, China Economics and Management Academy, Central University of Finance and Economics.
    • Handle: RePEc:cuf:wpaper:569
    as

    Download full text from publisher

    File URL: http://down.aefweb.net/WorkingPapers/w569.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Knight, John & Song, Lina, 1999. "The Rural-Urban Divide: Economic Disparities and Interactions in China," OUP Catalogue, Oxford University Press, number 9780198293309.
    2. McFadden, Daniel, 1989. "A Method of Simulated Moments for Estimation of Discrete Response Models without Numerical Integration," Econometrica, Econometric Society, vol. 57(5), pages 995-1026, September.
    3. Keane, Michael P & Wolpin, Kenneth I, 1994. "The Solution and Estimation of Discrete Choice Dynamic Programming Models by Simulation and Interpolation: Monte Carlo Evidence," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 648-672, November.
    4. Zvi Eckstein & Kenneth I. Wolpin, 1989. "The Specification and Estimation of Dynamic Stochastic Discrete Choice Models: A Survey," Journal of Human Resources, University of Wisconsin Press, vol. 24(4), pages 562-598.
    Full references (including those not matched with items on IDEAS)

    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. Ahmed Khwaja & Sonal Srivastava, 2026. "Reinforcement Learning Based Computationally Efficient Conditional Choice Simulation Estimation of Dynamic Discrete Choice Models," Papers 2601.02069, arXiv.org.
    2. Philipp Eisenhauer & James J. Heckman & Stefano Mosso, 2015. "Estimation Of Dynamic Discrete Choice Models By Maximum Likelihood And The Simulated Method Of Moments," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(2), pages 331-357, May.
    3. Robert M. Sauer, 1998. "Job Mobility and the Market for Lawyers," Journal of Political Economy, University of Chicago Press, vol. 106(1), pages 147-171, February.
    4. Geweke, John & Houser, Dan & Keane, Michael, 1999. "Simulation Based Inference for Dynamic Multinomial Choice Models," MPRA Paper 54279, University Library of Munich, Germany.
    5. Good, D. & Nadiri, M.I. & Sickles, R., 1996. "Index Number and Factor Demand Approaches to the Estimarion of Productivity," Working Papers 96-34, C.V. Starr Center for Applied Economics, New York University.
    6. Pietola, Kyosti & Vare, Minna & Oude Lansink, Alfons G.J.M., 2002. "Farmers' Exit Decisions and Early Retirement Programs in Finland," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24825, European Association of Agricultural Economists.
    7. Enrica Di Stefano, 2019. "Leaving your mamma: why so late in Italy?," Review of Economics of the Household, Springer, vol. 17(1), pages 323-347, March.
    8. Sebastian Galiani & Juan Pantano, 2021. "Structural Models: Inception and Frontier," NBER Working Papers 28698, National Bureau of Economic Research, Inc.
    9. Keane, Michael P. & Todd, Petra E. & Wolpin, Kenneth I., 2011. "The Structural Estimation of Behavioral Models: Discrete Choice Dynamic Programming Methods and Applications," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 4, pages 331-461, Elsevier.
    10. Laisney, François & Pohlmeier, Winfried & Staat, Matthias, 1991. "Estimation of labour supply functions using panel data: a survey," ZEW Discussion Papers 91-05, ZEW - Leibniz Centre for European Economic Research.
    11. Maria Casanova-Rivas, 2008. "Dynamic Complementarities: A Computational and Empirical Analysis of Couples' Retirement Decisions," 2008 Meeting Papers 1073, Society for Economic Dynamics.
    12. Kristensen, Dennis & Mogensen, Patrick K. & Moon, Jong Myun & Schjerning, Bertel, 2021. "Solving dynamic discrete choice models using smoothing and sieve methods," Journal of Econometrics, Elsevier, vol. 223(2), pages 328-360.
    13. Aguirregabiria, Victor & Mira, Pedro, 2010. "Dynamic discrete choice structural models: A survey," Journal of Econometrics, Elsevier, vol. 156(1), pages 38-67, May.
    14. Keane, Michael, 2010. "The Tax-Transfer System and Labour Supply," MPRA Paper 55167, University Library of Munich, Germany.
    15. Sarit Cohen-Goldner & Zvi Eckstein, 2008. "Labor Mobility Of Immigrants: Training, Experience, Language, And Opportunities," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(3), pages 837-872, August.
    16. Daniel Ackerberg, 2009. "A new use of importance sampling to reduce computational burden in simulation estimation," Quantitative Marketing and Economics (QME), Springer, vol. 7(4), pages 343-376, December.
    17. Michael P. Keane, 2011. "Labor Supply and Taxes: A Survey," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 961-1075, December.
    18. Belzil, Christian, 2007. "The return to schooling in structural dynamic models: a survey," European Economic Review, Elsevier, vol. 51(5), pages 1059-1105, July.
    19. Maria Rosaria Marino & Marzia Romanelli & Martino Tasso, 2016. "Women at work: the impact of welfare and fiscal policies in a dynamic labor supply model," Temi di discussione (Economic working papers) 1084, Bank of Italy, Economic Research and International Relations Area.
    20. Dan Anderberg & Noemi Mantovan & Robert M Sauer, 2023. "The Dynamics of Domestic Violence: Learning about the Match," The Economic Journal, Royal Economic Society, vol. 133(656), pages 2863-2898.

    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:cuf:wpaper:569. 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: Qiang Gao (email available below). General contact details of provider: https://edirc.repec.org/data/emcufcn.html .

    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.